DOE Design OF Experiments Jobs in Bengaluru
109 Jobs Found
Software Design & Labview
Cynlr - Cybernetics H.i.v.e
Job Title: Software Design & LabVIEW Engineer Location: Bengaluru Overview: Join CynLr s Product Design and Algorithm Team as a Software Design & LabVIEW Engineer, where you will be instrumental in developing LabVIEW code for advanced algorithms and experiments, optimizing performance, and supporting the software development lifecycle with strong architectural discipline. You will also provide critical interface and support for hardware-in-the-loop validation and customer implementation. Key Responsibilities: LabVIEW Development & Experimentation Translate concepts and algorithms from Design and Algorithm teams into well-structured LabVIEW code and experiments. Optimize LabVIEW code for timing and memory performance. Build custom data visualizations and user-friendly UI elements to accelerate experimental workflows. Enhance Lab experiment applications for usability and efficiency. Code Refactoring & Architecture Understand and apply established LabVIEW design patterns and coding standards (including STQ). Refactor legacy spaghetti code to comply with architecture and design guidelines. Document and maintain code quality and design consistency. Software Development Lifecycle Integration Implement and maintain source and version control using GIT or equivalent tools. Integrate evolving C++ DLL libraries seamlessly into LabVIEW codebases without disruption. Verification & Validation (V&V) Develop test cases and execute validation tests for C++ and LabVIEW code. Perform hardware-in-the-loop testing to validate algorithm functionality and performance. Customer Interface & Support Assist in application implementation and provide technical support to customers. Serve as a LabVIEW knowledge resource for the Algorithm and Design engineers and onboard new team members. Job Requirements: Programming Fundamentals Strong understanding of Data Flow programming paradigm and parallel programming in LabVIEW. Experience with dynamic thread management and service spawning. Software Design & Development Proven involvement in the full software development lifecycle, including distributed development with source/version control (GIT). Expertise in State Machine architecture and familiarity with other design patterns applied in LabVIEW. UI/UX Skills Proficient in building custom controls, data visualizations, and UI elements (experience with XControls is a plus). Strong knowledge of subpanels, resolution reflow, and splitter management for UI design. LabVIEW IDE Expertise Deep knowledge of VI Server (methods and attributes) and VI scripting (preferred). Mastery of LabVIEW project and environment settings, including front panel customization, function palettes, debugging, VI properties, and productivity features. Connectivity & Hardware Interface Experience integrating .dll libraries and C++ header files into LabVIEW applications. Familiarity with registry coding is advantageous. Hands-on experience with communication protocols including Ethernet (UDP, TCP), RS232/485, and industrial protocols like Modbus, CAN, etc.
Senior Data Scientist
Mathco (themathcompany)
Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.
Senior R&D Scientist Downstream
Danaher Corporation
Job Title: Senior R&D Scientist Downstream, Fast Trak Process Design & Validation Services Location: Bengaluru, India About the Role: We are seeking a Senior R&D Scientist Downstream to lead the technical development and execution of new or improved services aligned with our R&D strategic initiatives. This role focuses on downstream process development services and spans the full innovation cycle from defining specifications and designing solutions to validation and market launch support. You will work in close collaboration with R&D project managers and cross-functional teams to bring new bioprocess services to life. Key Responsibilities: Serve as the technical lead on innovation projects, working closely with R&D project managers and relevant departments to ensure successful project execution. Define and document technical specifications for new service and product developments based on customer and market requirements. Plan, execute, and report on technical studies, including risk assessments and experimental design, throughout various project stages. Lead and conduct verification and validation studies to ensure new services/products meet both technical and marketing requirements. Oversee lab setup and documentation in preparation for service commercialization. Ensure compliance with Environment, Health & Safety (EHS) standards and regulatory guidelines within laboratory operations. Qualifications: Bachelor s, Master s, or Ph.D. in Molecular Biology, Biochemistry, Bioengineering, or a related scientific discipline. Minimum of 5 years of hands-on experience leading and delivering technical projects in a scientific or bioprocessing environment. Proven ability to work independently, troubleshoot complex problems, and think creatively to develop practical solutions. Experience managing multiple projects in parallel, with strong organizational and time-management skills. Excellent communication, reporting, and presentation skills, with the ability to tailor information to both technical and non-technical stakeholders. Preferred Experience: Familiarity with aseptic laboratory techniques. Working knowledge of Good Laboratory Practice (GLP). Experience in upstream or downstream biotechnology unit operations. Qualification : Bachelors, Masters, or Ph.D. in Molecular Biology, Biochemistry, Bioengineering, or a related scientific discipline.
Creative Lead
Captain Fresh
Creative Lead Company Description: Captain Fresh is a tech-led, vertically integrated global powerhouse of multi-species seafood brands. Founded in 2020 and headquartered in Bengaluru, India, Captain Fresh s brand portfolio includes CenSea, Ocean Garden in the US, SuperFish in Poland, and Senecrus in France. As a creative leader, you will play a pivotal role in shaping and elevating the brand identity across multiple markets, ensuring consistency, storytelling, and engagement across digital, print, and experiential channels. In a world where technology has reshaped the core of every industry, Captain Fresh leads the charge in bringing tech-led innovation to the highly fragmented and traditional seafood sector. The group vertically integrates key nodes of the seafood value chain procurement, processing, distribution, and retail across species, enabling high standards of traceability and sustainability through its proprietary tech platforms. The flagship multi-species, multi-origin conglomerate sources and distributes over 100 species of seafood across 30 countries worldwide. Unified in purpose, Captain Fresh is committed to nourishing the world with responsibly sourced seafood, empowering communities, and protecting ecosystems through innovation and foresight. Job Description: As the Creative Lead at Captain Fresh, you will shape and elevate the brand identity across multiple markets. You will ensure the consistency and effectiveness of brand storytelling, leading creative initiatives across digital, print, and experiential channels, while balancing creativity with commercial impact. The role will require strategic thinking, hands-on execution, and leadership in managing a team of creatives and external agencies. Roles & Responsibilities: Brand Strategy & Creative Direction: Lead and define the brand vision, ensuring consistent storytelling and visual identity across all channels (digital, print, social, packaging, etc.). Creative Development & Execution: Oversee the execution of digital campaigns, marketing materials, packaging, and social media initiatives. Collaborate with internal and external teams to produce high-quality assets. Cross-Functional Collaboration: Work closely with product marketing, sales, and leadership teams to align creative strategies with business objectives and support new product launches. Innovation & Trend Spotting: Stay ahead of design and digital trends, experimenting with new formats, techniques, and platforms to enhance brand engagement and impact. What We re Looking For: Experience: 7+ years of experience in creative leadership roles, ideally with a background in global consumer brands or the B2B/B2C food industry. Portfolio: A strong portfolio showcasing brand storytelling, digital and print design, campaign execution, and a clear understanding of brand identity. Design Tools: Hands-on experience with design tools such as Adobe Creative Suite, Figma, etc., and content production for both digital and print. Team Leadership: Ability to lead a small, dynamic creative team and manage relationships with external creative agencies/partners. Strategic Mindset: A strong strategic thinker who can connect creative outputs to business objectives and measurable outcomes. Communication Skills: Excellent communication and presentation skills, with the ability to effectively convey creative ideas and strategies. Industry Experience: Experience in the seafood, food service, or retail industry is a plus but not mandatory. Global Exposure: Influence the creative direction of brands across the US, EU, and beyond. Fast-Growing Industry: Work with a fast-growing global house of brands in the seafood industry, leading innovation in a traditionally fragmented sector. Collaborative Environment: Be part of a high-energy, entrepreneurial marketing team that values creativity and growth. Impact: Contribute to a company committed to responsible sourcing, sustainability, and community empowerment.
Staff Ai Scientist
Intuit
Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
Principal Product Designer
Intuit
Company Overview Intuit is a global financial technology platform that drives prosperity for individuals and communities worldwide. Serving approximately 100 million customers through renowned products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we are dedicated to creating innovative solutions that empower everyone to prosper. We are constantly evolving to ensure that we can make this vision a reality for people everywhere. Job Overview At Intuit, we are committed to creating the future of financial technology by empowering people through innovation. The Experience Design team plays a pivotal role in bringing this vision to life. Our designers are deeply involved at every stage of product development from gathering insights and brainstorming ideas to prototyping, experimentation, and launching polished, user-friendly designs. We are innovating with technologies like machine learning and conversational UI to make every interaction seamless and delightful. We are looking for a Senior Design Leader to join the Go To Market (GTM) Technology team. This team is responsible for delivering some of the most critical customer-facing experiences across Intuit s entire ecosystem, including tools for monetization and experimentation. As part of the GTM Tech team, you will lead the design of Monetization experiences that include both pre-purchase and post-purchase customer interactions, impacting the success of Intuit's products. You will be responsible for designing and implementing a Monetization design system and overseeing projects within the Intuit Enterprise Suite. Additionally, you will lead a small team of designers and collaborate with external agencies, ensuring high-quality and impactful design solutions. This is a highly strategic role that offers the opportunity to influence monetization design across Intuit s products and to work at the intersection of marketing technology, personalization, and AI-driven experimentation. Responsibilities Design Leadership & Strategy Lead the design of Monetization experiences, focusing on both pre-purchase and post-purchase customer interactions, as well as sales-driven actions. Develop and lead the Monetization design system and contribute to the design of the Intuit Enterprise Suite. Be a role model in applying user-centered design (UCD) methodologies and design principles to solve customer challenges. Own the inputs for design strategy, design processes, design systems, and information architecture. Cross-Functional Collaboration Lead cross-functional collaboration with product management, product development, and project management teams to ensure timely and high-quality delivery of design solutions. Serve as the voice of design, advocating for design vision and solutions to business, product, and technology stakeholders. Team Leadership & Mentorship Lead and mentor a team of 2-3 full-time designers, helping them grow their design craft and develop key hard and soft skills. Collaborate with third-party design agencies to ensure efficient design production and on-time delivery. Work at Scale & Innovation Lead and execute the design of complex, large-scale projects that involve high-level design systems and reusable component libraries. Drive innovation by applying cutting-edge interactive design, including Generative AI and personalization technologies. Qualifications Experience: 15-18 years of experience in interaction design, product design, service design, or related fields. At least 10 years of experience managing and leading UX/UI designers. Education: Bachelor s or Master s degree in Product Design, Human-Computer Interaction, Interaction Design, or a related field. Alternatively, a Certified Usability Analyst certification is also acceptable. Skills & Expertise: Proven experience in applying user-centered design methodologies such as user-centered analysis, information architecture, task-flow design, and usability testing. Deep knowledge of design principles and the ability to apply them to create intuitive, user-friendly designs. Experience working with design systems and reusable component libraries. Additional Attributes: Highly organized, self-directed, and able to manage multiple, complex projects efficiently. Ability to build positive, collaborative relationships across teams and functions. Strong communicator and presenter with the ability to advocate for design vision and ideas effectively. Experience working with cross-functional teams and external agencies to ensure high-quality and timely delivery of designs. This role offers an exciting opportunity to lead design efforts that directly shape the future of monetization experiences and customer engagement across Intuit s ecosystem. You will work with cutting-edge technologies like Generative AI and personalization to create innovative and impactful solutions for millions of users around the world. If you're a visionary design leader passionate about creating customer-centric, innovative solutions at scale, we d love to hear from you. Join us and be part of a dynamic team that values creativity, collaboration, and leadership. Apply Now and help us shape the future of financial technology! Qualification : Bachelors or Masters degree in Product Design, Human-Computer Interaction, Interaction Design, or a related field.
System And Solutions Validation Engineer
Intel Corporation
Job Description Intel is seeking an experienced Systems Engineer to drive the design, development, and integration of hardware, firmware, and software solutions for Xeon-based platforms. The role focuses on system architecture, performance optimization, and technical risk assessment while ensuring scalability, reliability, and security in system implementations. The ideal candidate will work on customer-centric solutions, influencing next-generation system design and conducting proof-of-concept experiments to validate new features and technologies. Key Responsibilities: System Architecture & Design: Define, develop, and optimize end-to-end solutions integrating software, firmware, board, and silicon/SoC components. Customer-Centric Solutions: Translate business opportunities into use cases, develop product specifications, and implement solutions based on customer needs and system limitations. Performance & Reliability Optimization: Conduct design analysis, assess technical risks, and optimize for security, scalability, and maintainability. Hardware Validation & Debug: Perform schematic reviews, layout verification, mechanical/thermal analysis, and electrical validation (including Signal Integrity (SI) analysis). System Integration: Ensure smooth hardware-software integration, identifying and resolving hardware issues at the component and system levels. Lab-Based Proof-of-Concept Testing: Conduct real-life environment simulations, prototype testing, and performance benchmarking. Documentation & Knowledge Sharing: Develop technical documents, customer presentations, and training materials to enhance internal and external knowledge sharing. Industry Research & Collaboration: Engage in academic and industry research, driving innovation beyond existing solutions. Qualifications & Experience: Educational Requirements: B.E/B.Tech in Electronics & Communication, Computer Science, or a related field. Minimum of 10 years of relevant industry experience. Technical Expertise: Experience in Xeon platform hardware design and validation. Strong knowledge of schematics, PCB layout, mechanical, and thermal analysis. Experience with electrical validation, signal integrity (SI), and power integrity (PI) analysis (desirable). Expertise in hardware issue validation, debugging, and system integration. Strong problem-solving and analytical skills for complex, multi-layered system architectures. Excellent technical documentation and presentation skills. About Intel Validation Engineering (iVE) Group: The Intel Validation Engineering (iVE) Group plays a pivotal role in Intel s technology leadership, validating, debugging, and optimizing Intel s cutting-edge designs. iVE ensures that Intel's next-generation products meet the highest quality standards, enabling Intel to deliver world-class technology platforms. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a top-tier compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.E/B.Tech in Electronics & Communication, Computer Science, or a related field.
Senior Product Analyst
Tide Platform Limited
ABOUT THE ROLE: As a Product Analyst you ll work closely with Tide s product teams to use data to drive product adoption. You ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Lead of Growth Product Analytics. Some of the things you ll be doing: Product Discovery hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s) to impact revenue. Solution confidence product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the champion of product experimentation and would observe data, propose, design and analyse product experiments. Product and feature performance review new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify features that need to be shipped, scaled or killed. User research solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Experimentation & product growth you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. WHAT WE ARE LOOKING FOR: You have 3-7 years of experience working on Product Analytics for a digital product. You have strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. WHAT YOU LL GET IN RETURN: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING: At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
Senior Statistician
Glaxosmithkline Plc
About GSK GSK is a global biopharma company with a shared purpose: to unite science, technology, and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by 2030 and deliver sustainable returns for our shareholders. At GSK, we focus on preventing diseases as well as treating them. Our success depends on our people, and we want GSK to be a place where individuals feel inspired, valued, and challenged to grow both professionally and personally. We offer a dynamic environment where employees can thrive, grow, and look after their wellbeing. Biostatistics Group (India) GSK's Biostatistics team in India is an integral part of the global Biostatistics function with a legacy of over 20 years. Our team, recognized for its strong leadership, talent, and high energy levels, plays a crucial role in therapeutically aligned, cross-functional, and global teams. We are seeking individuals at various levels, from new graduates to senior and managerial roles, who are passionate about innovation and technology and want to make a difference in patients lives. Role Overview As a Senior Statistician, you will play a pivotal role in the design, execution, analysis, and interpretation of clinical trials. You will have the opportunity to work with a broad range of statistical methodologies and collaborate with global teams to influence clinical development plans and strategies. The role involves working closely with internal and external partners to provide statistical input, ensuring the success of clinical studies. Basic Qualifications PhD in Statistics (with or without relevant experience) OR MSc in Statistics with more than 4 years of relevant experience in the design, execution, analysis, and interpretation of clinical trials. Expertise in a broad range of statistical methodologies, including: Experimental design Mixed models Bayesian methods Linear and nonlinear regression Excellent interpersonal and communication skills. Proven ability to build and maintain strong working relationships. Ability to explain novel and standard methods to both fellow statisticians and cross-functional teams. Strong influencing skills, applied effectively across all levels of the organization. Preferred Qualifications Experience in methodologies such as: Experimental design Mixed models Bayesian methods Linear and nonlinear regression Repeated measures Experience with modeling, simulation, and other innovative methodologies. Evidence of statistical innovation and technical expertise in clinical trials. Experience in regulatory submissions and interactions with regulatory bodies. Experience working with and coordinating Contract Research Organizations (CROs). Strong time management skills and the ability to manage multiple tasks across different projects. Key Responsibilities Provide statistical input to the design, analysis, reporting, and interpretation of clinical studies. Influence clinical development plans, regulatory, and commercial strategies. Build and maintain effective strategic relationships with internal and external partners. Develop and implement novel statistical methodologies to support medicines development. Stay updated with the latest developments in the field of statistics and explore their applicability within the organization. Manage conflicting demands and priorities while developing creative solutions to problems. At GSK, we are united in our responsibility to create healthier futures. If you are driven by a passion for science, innovation, and making a positive impact, GSK provides an exciting opportunity to grow your career while contributing to global health. Qualification : PhD (Statistics) with or without relevant experience (OR) MSc (Statistics) with >4 yrs relevant experience for Senior Statistician in the design, execution, analysis, and interpretation of clinical trials
Data Scientist Agronomy & Remote Sensing
Bayer
Position Purpose: At Bayer, we are committed to solving the world s most challenging problems, including revolutionizing farming practices. We are seeking a Data Scientist - Agronomy & Remote Sensing to lead the development of data-driven agricultural solutions. By combining expertise in soil science, crop modeling, remote sensing, and advanced analytics, you will create innovative digital products that enhance agricultural productivity and improve farming practices. Key Responsibilities Innovation & Experimentation: Collaborate with cross-functional teams to build data-driven solutions and offerings for farmers. Model Development: Develop weather and climate change models using statistical and process-based methods. Field Experiments: Design and lead field experiments, guiding field officers for data collection and model validation. Predictive Modeling: Build predictive models to map soil properties and field variabilities using statistical and modeling techniques. Collaboration: Work with data scientists and engineers to develop models that diagnose, predict, and analyze crop performance. Deployment: Deploy analysis results and models into customer-facing services, monitor performance, and improve models. Data Handling: Clean, analyze, and visualize complex agricultural, remote sensing, and geospatial datasets to derive actionable insights. Data Quality: Work with the data quality team to resolve any data-related issues. Who You Are Educational Qualification: MS with 5+ years of experience in soil research and remote sensing, or Ph.D. in Remote Sensing, Soil Science, Agronomy, Environmental Science, or a related field. Experience: Expertise in remote sensing, agricultural, and geospatial datasets, applying data science techniques to real-world problems. Strong background in soil hydrology and/or Agronomy with experience in using geospatial datasets (e.g., SoilGrids, ERA5). Proficiency in GIS software for geospatial analysis. Experience with Python/R and SQL for data analysis. Familiarity with statistical modeling techniques like Linear Regression, Partial Least Squares, Random Forest, Neural Networks, etc. Dynamic Shared Ownership (DSO): Bayer promotes a culture of productivity, innovation, and faster results, reshaping how we work together. Equal Opportunity Employer: Bayer values fairness, respect, and diversity, offering equal opportunities regardless of race, religion, gender, or other factors.
Visual Designer
Fampay
Visual Designer Bengaluru | Design | Full-Time About Fam (formerly FamPay) Fam is India s first payments app for everyone aged 11 and above. Through UPI and the FamCard, we re on a mission to empower over 250 million young Indians to start their financial journey early and smart. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top investors like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels including Kunal Shah and Amrish Rao. About This Role We re not just building a product we re building a brand that **Gen Z vibes with**. If you can spot what makes a design click from typeface to color balance, spacing, or how a logo breathes this role is for you! As a **Visual Designer**, you ll bring our brand to life across social, product, and marketing channels. From scroll-stopping visuals to cohesive brand systems, you ll obsess over details while shaping the bigger picture. If mixing strategy with creativity is your idea of fun, and you dream of designing brands people can t stop talking about let s talk. What You ll Do Design engaging content for social platforms like Instagram, YouTube, LinkedIn, and more. Create vector illustrations for app and marketing use. Develop and maintain **brand assets, style guides, and visual consistency** across touchpoints. Produce creative assets: graphics, templates, layouts, and visuals for marketing campaigns across web, social media, events, email, and activations. Define and uphold design best practices to streamline production. Research design trends to keep visuals fresh and compelling. Solve marketing and business challenges through creative design solutions. Collaborate with marketing, product, and content teams for cohesive storytelling. Must-Haves 1 4 years of full-time experience in visual design within product teams. Proficiency in Figma and Adobe Creative Suite (Photoshop, Illustrator, Premiere Pro). Strong understanding of brand identity and consistency. Portfolio showcasing strong aesthetics and storytelling. Comfortable using **AI tools** to optimize and enhance design output. Availability to work full-time from our **Bangalore office**. Nice to Have Experience working in small teams and leading projects. Love for both independent work and collaboration. Ability to conduct and synthesize design research (qualitative & quantitative). Illustration skills that enhance brand storytelling. Proactive, self-driven attitude with a hunger for learning and experimentation. Join a high-energy, creatively driven team shaping a growing brand. Play a **high-impact role** influencing experiences for **10M+ users**. Enjoy creative freedom and room to experiment. Collaborate with a team that values bold ideas and good vibes. Access the latest tools, resources, and inspiration to grow your craft. Perks That Go Beyond the Paycheck Relocation assistance. Free office meals (lunch & dinner). Generous leave policy (birthday, period, paternity/maternity, and more). Salary advances and loan support. Quarterly rewards, recognition, and referral bonuses. Latest gadgets and tech. Comprehensive health insurance and mental health support. Tax benefits including food coupons, phone allowances, and leasing options. Retirement perks: PF, gratuity, leave encashment. About FamApp FamApp focuses on financial inclusion for the next generation with UPI and card payments for ages 11+. Our flagship product, FamX, seamlessly integrates UPI and card payments so users can manage, save, and learn about finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact no more cash hassles, plus fully customizable cards with doodles to add a personal touch. Backed by leading investors, Fam is where innovation meets impact.
Software Embedded Engineer
Fracktal Works
Software & Embedded Systems Engineer Location: Bangalore Department: Engineering Role Summary Fracktal Works is looking for a skilled and motivated Software & Embedded Systems Engineer to join our innovative engineering team in Bangalore. The ideal candidate has a strong foundation in software development, hands-on experience with embedded systems, and a keen interest in working with hardware platforms. Experience with 3D printers is a plus. This role will involve designing, developing, and maintaining embedded software solutions, collaborating closely with hardware teams, and contributing to cutting-edge projects in the field of additive manufacturing and automation. Key Responsibilities Design, develop, and maintain embedded software for various hardware platforms. Write clean, efficient, and optimized code in Python and C++ for embedded applications. Apply object-oriented programming (OOP) principles to develop modular and scalable codebases. Collaborate with hardware engineers to integrate, test, and debug embedded software with physical hardware. Build and experiment with Arduino, Raspberry Pi, and other microcontroller-based platforms. Diagnose and resolve software and hardware integration issues. Work within Linux environments for scripting, system management, and development tasks. Use Git, GitHub, and other version control tools for collaborative development and project tracking. Participate in code reviews, providing and incorporating constructive feedback to ensure code quality. Qualifications & Skills Bachelor s degree in Computer Science, Electronics/Electrical Engineering, Mechatronics, or a related field. Strong programming skills in Python and C++. Solid understanding of object-oriented programming (OOP) and software design principles. Experience with embedded systems development and working with hardware interfaces. Hands-on experience with Arduino, Raspberry Pi, or similar development boards. Proficiency with Linux systems (including shell scripting and system-level operations). Familiarity with version control systems (e.g., Git and GitHub). Prior experience with 3D printers either operating, building, or modifying them is an advantage. Excellent problem-solving skills, attention to detail, and a passion for hands-on development. Strong collaboration and communication skills both written and verbal. Knowledge of PCB design is a plus, but not required. At Fracktal Works, you ll join a team that is pioneering the future of manufacturing technology. You ll work on exciting projects in 3D printing and embedded systems, learn from a collaborative and highly skilled team, and make a tangible impact in an innovative, fast-paced environment. Qualification : Bachelors degree in Computer Science, Electronics/Electrical Engineering, Mechatronics, or a related field
Principal Engineer
Coindcx
Principal Engineer Experience: 14 18 years Location: Bengaluru Team: Engineering About CoinDCX At CoinDCX, we believe Change Starts Together. We're on a mission to make Web3 accessible to everyone building secure, scalable, and user-friendly platforms that bring the power of crypto and blockchain to millions. From becoming India s first crypto unicorn to building a community of 125M+, we've come a long way and we're just getting started. As we lead the charge in Web3 innovation, we re looking for visionary engineers to help us shape the future. Your Role: Principal Engineer As a Principal Engineer at CoinDCX, you ll be at the forefront of our engineering strategy leading complex architectural decisions, driving engineering excellence, and mentoring high-performing teams. You ll work on cutting-edge problems at scale, build systems that power the next generation of finance, and influence how Web3 is adopted across the globe. What You'll Do Drive technical strategy, architecture, and execution across high-impact projects. Own performance, scalability, and quality of critical backend systems and services. Lead design and code reviews, ensuring best-in-class software development practices. Guide adoption of modern technologies, tools, and frameworks to improve engineering productivity. Build and mentor world-class engineering teams by fostering a culture of excellence, ownership, and collaboration. Contribute to long-term product and platform roadmap, ensuring alignment with business goals. Represent CoinDCX in technology forums and external communities. Continuously evaluate and experiment with emerging tools and trends in the Web3 and VDA space. What You Bring 14+ years of hands-on experience in software design and development. Expertise in Golang, with a strong focus on writing clean, scalable, and well-tested code. Deep understanding of microservices architecture, containerization (Docker), and orchestration tools (EKS/Kubernetes). Experience with SQL/NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra. Familiarity with messaging systems such as Kafka, RabbitMQ, or SQS. Strong grasp of architectural design principles, system trade-offs, and high-scale system performance. Proven experience working in Agile environments, with a strong inclination toward TDD, CI/CD, and DevOps practices. Excellent communication and leadership skills able to explain complex technical ideas clearly and influence decision-making. Passion for mentorship, and a drive to grow engineers into technical leaders. You ll Thrive Here If You... Are excited by the potential of Web3 and Virtual Digital Assets (VDAs). Take ownership and push for high-impact results in everything you do. Are a team player who grows with others, not at their expense. Embrace change and innovation as fuel for growth. Think big, act bold, and never settle for good enough. Design Your Own Benefits Choose perks that matter to you whether it's a new gadget or pet care, we support your lifestyle. Unlimited Wellness Leaves Your well-being comes first. Take time off when needed no questions asked. Mental Wellness Support Access free counseling, expert advice, wellness workshops, and team activities for a balanced life. Bi-Weekly Learning Sessions Stay at the forefront with continuous learning, upskilling, and growth opportunities. Let s Build the Future of Web3 Together If you're a visionary engineer ready to lead, innovate, and drive change at scale we want to hear from you. Come HODL with us.
Lead UX Designer
Zeta
Job Title: Lead UX Designer Location: Bangalore, India Job Type: Full-time About Zeta Zeta is a Next-Gen Banking Tech company, co-founded by Bhavin Turakhia and Ramki Gaddipati in 2015, on a mission to reimagine banking from the ground up. Our flagship processing platform, Zeta Tachyon, is the world's first modern, cloud-native, and fully API-enabled stack. It unifies issuance, processing, lending, core banking, fraud & risk management into a single-vendor solution. With 20M+ cards issued globally, we are trusted by leading banks and fintechs across the US, EMEA, and Asia. Backed by SoftBank, Mastercard, and other marquee investors, Zeta is valued at $1.5 billion and employs 1700+ professionals, with over 70% in R&D roles. About the Role Lead UX Designer (Synapse) We are looking for a **Lead Product Designer** to join **Synapse**, our internal innovation team. This is a hands-on role where you ll work closely with our CEO to bring product ideas to life from concept sketches to shipping live user experiences. You ll help shape Zeta s product design language across emerging platforms, leverage AI-powered tools, and take ideas from 0 1 with speed and elegance. Key Responsibilities Collaborate directly with the **CEO** and cross-functional teams to conceptualize and design new product experiences. Drive the end-to-end design process, including **wireframes, mockups, prototypes, and final production assets**. Use tools like **Figma, Cursor, Webflow**, and other **no-code/low-code platforms** to bring designs into functioning components. Experiment with **AI tools** to accelerate design-to-code workflows. Ensure consistency, usability, and aesthetic quality across all user touchpoints. Mentor and inspire other designers while pushing boundaries in product design. What You Bring **5+ years of hands-on product design experience**, preferably in startups or fast-paced environments. Experience working on **0 to 1 product development** from idea to launch. Strong command of **Figma, HTML/CSS**, and a good understanding of frontend development. Passion for clean, intuitive design and user-centered experiences. Experience using (or interest in exploring) **AI, automation, or no-code tools** to create interactive prototypes or live products. Strong visual design skills, with an eye for detail and consistency. Excellent communication and collaboration skills able to work seamlessly with engineers, PMs, and leadership. Interest in the future of AI, creative tools, and product innovation. Direct access to executive leadership and decision-making. Opportunity to shape innovative products that serve millions of users globally. Work in a design-driven, product-first environment where your voice matters. Be part of a culture that believes in People Must Grow with ample room to experiment, learn, and thrive. Equal Opportunity Statement Zeta is proud to be an equal opportunity employer. We celebrate diversity and are committed to building an inclusive workplace. We welcome applications from people of all backgrounds and walks of life.
Data Scientist -i
Meesho
Data Scientist - I | Meesho Careers Location: Bangalore, Karnataka | Department: Tech Join Meesho as a Data Scientist and Shape the Future of E-commerce At Meesho, our Data Scientists work on high-impact projects such as fraud detection, inventory optimization, and platform vernacularization, building intelligent systems that enhance the experience of millions of users across thousands of product categories. What You ll Do Design and develop advanced data models and run experiments to derive insights from complex datasets Enhance product usability and identify new growth opportunities through data Analyze reseller behavior to recommend relevant products and increase engagement Design and optimize discount programs to boost reseller sales Identify end-customer preferences to help resellers improve revenue Use analytics to identify supply chain bottlenecks and help suppliers meet SLA requirements Forecast seasonal demand and contribute to strategic planning by modeling key metrics Mentor junior data scientists and help foster a collaborative learning environment Bachelor's or Master s degree in Computer Science, Data Science, or related fields 1 2 years of professional experience as a Data Scientist in a fast-paced, preferably B2C environment Hands-on experience with machine learning, neural networks, and related techniques Proficiency in tools like SQL, Python, R Strong statistical foundation, with expertise in hypothesis testing and model validation Proven ability to conduct and analyze A/B testing Experience working closely with product and tech teams Bonus Points If You Have: Experience in personalization or similar ML problem spaces Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Redshift About Meesho Meesho is India's top-rated e-commerce platform on Glassdoor, known for empowering millions of entrepreneurs across the country. We provide sellers with zero-commission benefits and the lowest shipping costs, serving every serviceable pincode in India. With over 1.75 million registered sellers, Meesho is helping small businesses grow using a unique business model and world-class tech infrastructure. From first-time internet users to seasoned entrepreneurs, our inclusive platform caters to a diverse customer base across India. Our Mission Democratizing Internet Commerce for Everyone Meesho (short for Meri Shop) is dedicated to enabling 100 million small businesses to succeed online, offering them an affordable, reliable, and easy-to-use platform that mirrors local market preferences. Our Culture and Total Rewards We cultivate a performance-driven, people-first culture that values learning, creativity, and excellence. Our "Mantras" guide our daily decisions, from hiring to growth discussions. Meesho Total Rewards includes: Market-leading compensation, including equity-based benefits Holistic wellness through our MeeCare Program: medical insurance, telehealth, wellness events, gym discounts, and more Work-life balance support: generous leave policies, parental benefits, and retirement plans Learning & development assistance and career mobility programs Fun workplace culture with events, personalized gifts, and team engagement activities Join Meesho to work on meaningful data problems, impact millions, and grow your career with a supportive and innovative team. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, or related fields
Senior Machine Learning Engineer
Chevron Corporation
Senior Machine Learning Engineer Location: Bengaluru, India Company: Chevron Experience Required: 5 10 Years Department: AI/ML Engineering Work Mode: Hybrid / Global Operations Support About the Role Chevron is actively seeking a Senior Machine Learning Engineer to join our cutting-edge AI team. You will be responsible for designing, building, and optimizing advanced machine learning systems that power transformative applications in artificial intelligence. In this role, you will develop self-learning applications and refine AI systems using robust engineering, statistics, and software design practices. Key Responsibilities Study and transform data science prototypes into production-ready systems Design scalable and robust machine learning systems Research and implement modern ML algorithms and tools Develop ML applications based on business and technical requirements Select appropriate datasets, data pipelines, and data representation techniques Run experiments and evaluate results to fine-tune models Perform statistical analysis and ML performance optimization Train and retrain models as new data becomes available Extend and customize existing ML libraries and frameworks Stay up to date with the latest ML research and trends Required Qualifications 5 10 years of proven experience as a Machine Learning Engineer or in a similar role Hands-on experience with Azure Machine Learning and MLOps Strong skills in data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithm design Proficient in programming languages: Python, R Familiarity with ML frameworks and libraries such as Keras, PyTorch, scikit-learn Excellent analytical and problem-solving skills Strong communication and teamwork abilities Working Hours Chevron supports international teams. Work hours are scheduled to align with global collaboration: Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Opportunity to work on impactful ML/AI solutions at enterprise scale Flexible work culture with global exposure Advanced tools, infrastructure, and data at your fingertips Professional growth in a forward-thinking, innovation-driven environment Equal Opportunity Statement Chevron is an equal opportunity employer and adheres to inclusive hiring practices. All qualified candidates will receive consideration without regard to race, gender, age, religion, nationality, sexual orientation, disability, or any other protected status. Chevron also participates in E-Verify as required by law in applicable jurisdictions. Apply Today
Delivery Leader
Hashedin Technologies Pvt. Ltd.
Job Title: Delivery Manager Experience: 12 to 15 years Education: Bachelor s degree (Engineering or Non-Engineering) Who We Are: HashedIn by Deloitte is a born-in-the-cloud technology firm, specializing in leveraging cloud-native technologies to build innovative, market-leading solutions. Since inception, HashedIn has successfully delivered solutions to over 100 customers across industries and geographies, helping them launch new products, disrupt industries, and scale operations. With a team of 900+ Hashers, we are proud to be recognized as a Great Place to Work multiple times, fostering a culture that promotes freedom to experiment, continuous learning, and fun at work. Role Overview: As a Delivery Manager, you will be responsible for managing and driving multiple project deliveries across various customers and geographies. This role demands strong leadership, project management expertise, technical understanding, and the ability to align delivery processes with business goals. Key Responsibilities: Own and manage delivery for multiple projects simultaneously. Define project roadmaps aligned with key business objectives. Lead both onshore and offshore teams, managing project schedules, scope, and delivery plans. Define and manage project scope, budget, and timelines from initiation to closure. Identify, anticipate risks and issues, and proactively work towards resolution to ensure successful delivery. Collaborate with Recruitment & Operations to ensure projects are adequately staffed with the right talent. Conduct regular team meetings to monitor progress, manage escalations, and align on project priorities. Ensure efficient and cost-effective delivery processes across projects. Act as the single point of contact for delivery, representing HashedIn to clients and stakeholders. Manage project profitability, ensuring that each project operates as a profit center. Own and drive delivery excellence in a global delivery model (onshore-offshore). Lead and coordinate crisis management when required. Desired Profile: 12 to 15 years of hands-on project delivery experience. Solid understanding of Agile methodologies and software development lifecycle. Strong grasp of OOP concepts, architectural design patterns, and data structures. Extensive experience with any technology stack, such as MEAN, .NET, or Java. Proven experience in project planning, budgeting, and milestone tracking. Excellent problem-solving skills, with the ability to build contingency plans and handle high-pressure situations professionally. Strong negotiation, presentation, and communication skills. Experience acting as the primary delivery contact for customers, representing the delivery team in client conversations. Ability to drive delivery governance processes across teams and ensure alignment with organizational goals. Qualification : Bachelors degree (Engineering or Non-Engineering)
Staff Architecture Verification Engineer
Arm Limited
Job Overview: The Architecture and Technology Group (ATG) at Arm develops technologies and products for Arm s future architecture roadmap. In ATG, we are developing world-leading Secure CPU and System architectures and associated technologies; enabling our ecosystem to build compelling products. Along with the architecture definition, ATG develops products to confirm compliance to the architecture. The ATG team located in Bangalore develops a product called Architecture Compliance Kits (ACK) that are delivered to multiple internal and external CPU design teams to validate that Arm architecture CPU implementations are compliant with the Arm architecture. You will learn Arm Architecture and apply it along with hardware and software verification skills to develop products for verifying the Architecture. You will develop good engineering and technical skills, and a fair understanding of CPU architecture and microarchitecture. You will connect with a wide range of teams within ATG, architects, and with our external partners. In this role, you will also develop solutions for future Arm architecture developments and influence the product offering. Responsibilities: Technical expertise, understanding architecture definitions, carrying out investigations and feasibility studies, defining and developing verification strategies, and contributing to the development of compliance products. Design verification test plans and test cases in assembly, C, HVL, and higher abstraction languages using automation techniques as needed. Strong and continuous communication on deliveries and risks, ensuring that all engineering commitments are delivered successfully. Drive efficiency improvements through adoption of the right development flows and methodologies. Excellent verbal and written communication skills. Required Skills and Experience: B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering. 8+ years of verification experience (CPU/complex IP verification is a plus). Strong understanding of computer architecture. Proficiency in logical programming using C/C++/Assembly with experience in adopting software engineering best practices. Nice To Have Skills and Experience: Experience in CPU verification would be a plus. Knowledge of x86 or Arm processor architecture. We are guided by our core beliefs that reflect our culture and guide our decisions, defining how we work together to surpass ordinary and craft outstanding products and careers. In Return: We promise you endless opportunities to experiment and go even further in hardware! From architecture definition to complex core implementation to full custom physical IPs, here you'll have our backing to push limits in vital areas. #LI-KR2 Qualification : B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering.
Generative Ai Engineer
Gramener
About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.
Staff Data Scientist, Product, Ads Account Management
Google Careers
About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Account Management provide a secure and scalable platform that makes ad buying easier for businesses of all sizes. We take a strong Customer First mindset and have a responsibility to help advertisers achieve their business goals. Be a part of a team of analysts passionate about learning and using cutting edge data science and analytics techniques to shape our next generation Ads Account Management efforts. This role will manage a team of Data Scientists based out of Bengaluru. In this role, you will be responsible for managing a team and delivering insights, building and measuring key metrics, creating and maintaining reporting to assess our account management efforts. Responsibilities Work closely with the Account Management leadership team, UX, Marketing, and Support to develop a deep understanding of the needs of our advertisers, developers, and other partners. Set the direction, strategy, manage priorities and backlog of analytics projects, and coach a team of data scientists that support our account management efforts. Perform deep technical analyses with unstructured data (e.g., logs) to assess the success of our mobile efforts and new agency/large company account management products. Investigate fundamental business and product strategy questions. Deliver deep insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser experiences. Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings, and performance. Minimum qualifications: Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R. 7 years of experience developing and managing metrics or evaluating programs/products. 5 years of experience as a people manager within a technical leadership role. Preferred qualifications: Experience managing a team of Data Scientists. Experience working with large and multiple datasets/data warehouses, and ability to pull from such data sets using relevant tools and coding. Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions. Ability to start and direct work in an unstructured environment and comfortable dealing with ambiguity. Expertise in experimental design (e.g., A/B, multivariate, Bayesian methods) and incrementality analysis. Qualification : Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
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