Manager Data Scientist Jobs in Hyderabad

Job Title: Data Governance Developer Job Location: Hyderabad Job Description As a Data Governance Developer, you will be responsible for setting up, managing, and optimizing our data governance frameworks, primarily leveraging Microsoft Purview. Your role will involve integrating various data sources, ensuring robust metadata management, and implementing compliance policies to maintain data quality, security, and accessibility across the enterprise. Key Responsibilities: Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC). Integrate Purview with diverse data sources, including Azure Data Lake, Synapse, SQL DB, Power BI, and Snowflake. Schedule and monitor metadata scanning and classification jobs. Implement and maintain collection hierarchies aligned with data ownership. Design metadata ingestion workflows for technical, business, and operational metadata. Enrich data assets with business context: descriptions, glossary terms, tags. Synchronize metadata across tools using REST APIs, PowerShell, or ADF. Validate end-to-end lineage for datasets and reports (ADF Synapse Power BI). Resolve lineage gaps or failures using mapping corrections or scripts. Perform impact analysis to support downstream data consumers. Create custom classification rules for sensitive data (PII, PCI, PHI). Apply and manage Microsoft Purview sensitivity labels and policies. Integrate with Microsoft Information Protection (MIP) for DLP. Manage business glossary in collaboration with domain owners and stewards. Implement approval workflows and term governance. Conduct audits for glossary and metadata quality and consistency. Automate Purview operations using: PowerShell, Azure Functions, Logic Apps, REST APIs Build pipelines for dynamic source registration and scanning. Automate tagging, lineage, and glossary term mapping. Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs. Tools & Technologies: Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog Experience in Microsoft Purview areas: - Label creation and policy management Publish/Auto-labeling Data Loss Prevention & Compliance handling Compliance Manager, Communication Compliance, Insider Risk Management Records Management, Unified Catalog, Information Barriers eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit DSPM, Data Policy Requirements 4 6 years of experience in data governance or data management. Strong experience in Microsoft Purview and Informatica governance tools. Proficient in tracking and visualizing data lineage across systems. Familiar with Azure Data Factory, Talend, dbt, and other integration tools. Understanding of data regulations: GDPR, CCPA, SOX, HIPAA. Ability to translate technical data governance concepts for business stakeholders. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Title: Data Governance Lead Job Location: Hyderabad Job Description As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance. Key Responsibilities: Governance Strategy & Stakeholder Alignment Develop and maintain enterprise data governance strategies, policies, and standards. Align governance with business goals: compliance, analytics, and decision-making. Collaborate across business, IT, legal, and compliance teams for role alignment. Drive governance training, awareness, and change management programs. Microsoft Purview Administration & Implementation Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. Optimize Purview setup for large-scale environments (50TB+). Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule scans, set classification jobs, and maintain collection hierarchies. Metadata & Lineage Management Design metadata repositories and maintain business glossaries and data dictionaries. Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. Ensure lineage mapping (ADF Synapse Power BI) and impact analysis. Data Classification & Security Governance Define classification rules and sensitivity labels (PII, PCI, PHI). Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. Enforce records management, lifecycle policies, and information barriers. Data Quality & Policy Management Define KPIs and dashboards to monitor data quality across domains. Collaborate on rule design, remediation workflows, and exception handling. Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. Business Glossary & Stewardship Maintain business glossary with domain owners and stewards in Purview. Enforce approval workflows, standard naming, and steward responsibilities. Conduct metadata audits for glossary and asset documentation quality. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps. Create pipelines for ingestion, lineage, glossary updates, tagging. Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. Monitoring, Auditing & Compliance Set up dashboards for audit logs, compliance reporting, metadata coverage. Oversee data lifecycle management across its phases. Support internal and external audit readiness with proper documentation. Requirements 7+ years of experience in data governance and data management. Proficient in Microsoft Purview and Informatica data governance tools. Strong in metadata management, lineage mapping, classification, and security. Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs. Skilled in bridging technical governance with business and compliance goals. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Title: Data Engineering Manager Location: Hyderabad About Kanerika Kanerika Inc. is a leading global software products and services company dedicated to empowering data-driven enterprises. We help businesses accelerate digital transformation and maximize impact by delivering innovative, custom data solutions that optimize operations, enhance customer experiences, and fuel growth. Our Accolades Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India for Kompass composable solution Recognized for strong data privacy and security standards: ISO 27701, SOC2, GDPR compliant With a 4.5/5 Glassdoor rating, Kanerika fosters an inclusive, growth-oriented culture where employees thrive. We offer: Flexible working hours and generous parental leave Mandatory training on a safe and inclusive work environment Mentorship, professional development, and certification support Company-sponsored outings and work-life balance initiatives Join a vibrant, diverse community where your contributions truly matter. The Role We are looking for an experienced Data Engineering Manager to lead and inspire our data engineering team in Hyderabad. Partnering closely with Data Architects, you ll drive the design and development of scalable, cloud-based data pipelines and models, ensuring data quality, security, and performance. What You ll Do Lead and mentor a high-performing data engineering team, driving productivity and accountability. Collaborate with architects and development leads to build scalable, enterprise-grade data solutions. Oversee agile workflows, manage escalations, and coordinate hiring and resource planning. Use data-driven insights to guide team priorities and continuous improvement. Support pre-sales activities and work cross-functionally with sales and recruitment teams. Foster a culture of innovation, quality-first mindset, and customer focus. Who You Are A proactive leader with experience managing mid to large-sized teams and complex projects. An effective communicator, both verbally and in writing, with a knack for visually presenting ideas and core values. Results-oriented with a proven track record of delivering successful projects and publishing customer case studies. A process-driven, independent thinker who thrives under pressure and embraces continuous learning. Passionate about inclusivity and committed to contributing authentically to a diverse team environment.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Snowflake Architect Location: Hyderabad, Telangana Work Type: On-site, Full-time Company: Blend About Blend: Blend is a premier AI services provider dedicated to driving innovation and value through data science, AI, and technology. Our mission is to co-create meaningful impact by combining human expertise with advanced AI-driven strategies. Job Summary: We are seeking an experienced Snowflake Architect to lead our data engineering efforts by designing scalable Snowflake architectures, optimizing data pipelines, and managing a high-performing team. This role requires a strategic thinker and hands-on leader to deliver secure, reliable, and efficient data solutions. Key Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines supporting business intelligence and advanced analytics. Lead and mentor a team of data engineers, ensuring timely delivery of high-quality projects. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance tuning, and ETL workflows. Optimize Snowflake environments for low latency, high availability, and cost efficiency. Drive continuous process improvements and evaluate emerging tools and technologies. Ensure data accuracy, completeness, and security, complying with data privacy regulations like GDPR and CCPA. Partner with cloud engineering and DevOps teams to integrate Snowflake solutions within AWS infrastructure. Participate in capacity planning, budgeting, and resource allocation for data engineering functions. Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (Master s preferred). 9+ years of cloud-based data engineering experience, with at least 4 years of hands-on Snowflake expertise. Proven track record in designing, deploying, and managing large-scale Snowflake data platforms. Expertise with AWS services including S3, Redshift, Lambda, Glue, etc. Strong proficiency in SQL, Python, and other data manipulation languages. Experience managing and mentoring engineering teams and leading cross-functional projects. Solid understanding of data governance, security, and compliance frameworks (GDPR, CCPA). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Snowflake certification(s). Experience with other cloud data warehouses such as AWS Redshift or Google BigQuery. Familiarity with Agile methodologies, CI/CD pipelines, Git, Jira, and modern development practices. Apply now to join Blend and help shape the future of data-driven innovation! Qualification : Bachelors degree in Computer Science, Information Technology, or related field (Masters preferred).

Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.

Transform Business Processes with Us! Location: Hyderabad, India We are seeking an experienced SAP Signavio Consultant to help our clients analyze, optimize, and enhance their business processes using the SAP Signavio software suite. You will work closely with clients to understand challenges, identify inefficiencies, and recommend solutions that drive operational excellence. As an integral part of our consulting team, you will be responsible for process modeling, system integrations, and value-driven insights, ensuring seamless adoption of SAP Signavio Process Manager, Process Governance, and Process Intelligence. Key Responsibilities Process Analysis & Optimization Collaborate with clients to understand their business processes, scenarios, and challenges. Leverage Signavio tools to analyze, optimize, and document business processes. Identify areas for improvement and provide tailored recommendations. SAP Signavio Implementation & Integration Lead the setup and integration of SAP Signavio with S/4HANA, ERP, and other digital platforms. Work on data connections, custom integrations, and KPI dashboards to enhance client decision-making. Support BPM content migration from tools like ARIS, BIC, ViFlow to Signavio. Customer Engagement & Consulting Conduct proof-of-concept initiatives and drive consulting projects. Deliver workshops, enablement sessions, and formal read-outs to customers. Serve as the SAP Signavio Subject Matter Expert (SME), supporting SAP customers and partners. Technical Expertise & Best Practices Provide technical consulting expertise on Signavio customization, data mining, and process modeling (BPMN 2.0). Develop custom Signavio solutions including PI script modifications and advanced analytics visualizations. Ensure system and data integration between client systems and SAP Signavio. Collaboration & Knowledge Sharing Support and mentor other Signavio consultants with client engagements. Collaborate with the product development team to improve Signavio features. Stay up to date with industry trends and best practices in business process management. Required Skills & Experience Hands-on experience with SAP Signavio, including Process Manager, Process Governance, and Process Intelligence. Experience with database systems, data mining, and analytics visualization. Strong process modeling skills with familiarity in BPMN 2.0. Expertise in SAP system integrations, including S/4HANA, ERP, and other enterprise systems. Technical proficiency in customizing Signavio solutions, PI Scripts, and data connectors. Proven ability to lead consulting engagements, drive adoption, and resolve technical challenges. Strong analytical, problem-solving, and communication skills. Self-motivated, proactive, and a team player who thrives in a collaborative environment. Work with global clients to transform their business processes. Opportunity to lead high-impact projects with cutting-edge technology. Continuous learning & professional development with expert teams. Collaborative, innovative, and growth-driven work culture. If you re passionate about business process optimization and SAP Signavio, we d love to hear from you! Apply now and be a part of our transformational journey!

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Role Overview We are looking for a Technical Lead with 8 12 years of experience in Python and JavaScript development. You will architect and design new solutions, develop internal tools for data analysis and visualization, and lead data-driven projects from concept to delivery. This role involves working with cutting-edge technologies and collaborating with diverse teams to deliver impactful solutions for clients across multiple domains. Key Responsibilities Architect and design data pipelines and data flow architecture for scalable solutions. Build and integrate custom solutions that leverage models, algorithms, and point solutions to meet client needs. Lead the development of Minimum Viable Products (MVPs) and work closely with pre-sales teams to propose and implement solutions. Develop internal tools for data analysis and visualization using technologies such as Python, JavaScript, R, SQL, HTML, and CSS. Collaborate with cross-functional teams to ensure smooth project execution and high-quality deliverables. Manage data-driven projects from ideation to execution, ensuring alignment with business goals. Demonstrate solutions and product capabilities to clients, addressing their technical needs and objectives. Required Skills and Experience 8 12 years of hands-on programming experience in Python and JavaScript. Strong foundation in data pipeline design and data flow architecture. Experience with Linux, JIRA, and Apache. Proven ability to architect scalable solutions and deliver high-quality results within deadlines. Familiarity with custom delivery frameworks and building MVP solutions for pre-sales activities. Excellent verbal and written communication skills. Strong relationship-building and organizational skills with a collaborative spirit. Preferred Qualifications BTech/Master s degree or equivalent in Computer Science, IT, or related field. Experience in formulating, solutioning, and managing data-driven projects. Knowledge of integrating solutions across multiple domains and platforms. Willingness to travel to end-client sites when required. First-hand experience in working on C-suite-focused business advisory projects. An opportunity to collaborate with industry experts, data scientists, and domain champions. Be part of a dynamic, fast-changing environment with the freedom to innovate and create meaningful solutions. Work with cutting-edge technologies and make a real impact. Qualification : BTech/Masters degree or equivalent in Computer Science, IT, or related field.

AWS Cloud Admin Data Science Team We are seeking an experienced AWS Cloud Admin to join our Data Science Team. The ideal candidate will have 5 to 8 years of experience in managing AWS cloud infrastructure. The AWS Cloud Admin will be responsible for ensuring the reliability, security, and performance of our cloud environment to enable us to efficiently analyze and derive insights from large datasets. Key Responsibilities: Manage and monitor AWS services, including EC2, S3, RDS, and Redshift. Implement and maintain security best practices for AWS environments. Troubleshoot and resolve issues related to AWS infrastructure. Collaborate with data scientists and engineers to optimize AWS resources for data processing and analysis. Implement automation and scripting solutions to streamline AWS administration tasks. Stay up-to-date on AWS best practices and new features to continuously improve our cloud infrastructure. Qualifications: Experience: 4+ years of experience in cloud infrastructure management, with at least 2 years focusing on AWS services. In-depth knowledge of AWS services including EC2, S3, Lambda, RDS, SQS, SNS, IAM, CloudWatch, Redshift, and SageMaker. Strong experience in automation and configuration management tools such as Terraform, CloudFormation, or Ansible. Knowledge of cloud security best practices, including managing IAM roles and policies, encryption, and data protection in the cloud. Proficiency in Python, Bash, or other scripting languages for automation tasks. Experience with AWS CloudWatch, CloudTrail, and other monitoring tools for analyzing logs, alerts, and resource performance. Nice to Have: Experience on Azure DevOps.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

About the Job Like Google's own ambitions, the work of a Software Engineering Manager goes far beyond Search. This role combines technical leadership with team management to drive large-scale, impactful projects while enabling your team of engineers to deliver their best work. You ll not only contribute to product strategy and manage project goals but also foster the growth of talented engineers across your team. Google s engineering teams tackle challenges in information retrieval, artificial intelligence, distributed computing, large-scale system design, networking, security, and data analytics, among others. As a manager, you will lead engineering teams across multiple locations and drive high-impact solutions for complex challenges. Our Enterprise Data & Engineering (EDE) team is focused on unlocking the value of enterprise data, making it accessible, reliable, secure, and actionable for Googlers. Corp Eng builds business solutions that scale globally to support Google s internal operations and services. Our mission is simple: We are Google for Googlers delivering tools and experiences that help every Googler create impactful products and services. Responsibilities Conceive and deliver data management and analytics solutions to meet Googlers' needs, driving high-impact projects across Google. Influence Connected Data strategy, ensuring consistent and secure data assets built on canonical entity schema for higher-level insights. Ensure data integrity and security, implementing procedures to maintain the highest levels of confidentiality and data protection. Partner with internal teams to define and implement solutions that improve business processes. Maintain the highest standards of development practices, including technical design, systems configuration, testing, and writing clean, modular code. Minimum Qualifications Bachelor's degree or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of technical leadership experience overseeing projects, with 2 years in people management or team leadership. Experience in data management, data integration, distributed databases, and SQL pipelines. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. Experience implementing and integrating third-party applications in domains like Finance, Supply Chain, HR, and Marketing.

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

Description Johnson & Johnson Innovative Medicine is recruiting a Data Science Solutions Manager. The primary location for this position is in India (Hyderabad/Bangalore). Innovative Medicine develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Cardiovascular, Immunology, Neuroscience, and Infectious diseases. Our ultimate goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market from patients to practitioners and from clinics to hospitals. In this role, you will: Partner closely with members of the Innovative Medicine R&D data science organization and other business stakeholders to lead a team to implement data science solutions and business intelligence products. You will be responsible for the delivery of engaging and innovative data products, intuitive solutions, analysis ready datasets, dashboards & insights, to make data more accessible and useful As the Data Science Solutions team, we are responsible for partnering directly with stakeholders to understand business needs and deliver products & education to increase data driven insights and decision making. Responsibilities: Recruit, develop and retain talent Provide direction, mentorship, and coaching to a team of data analysts and visualization specialists, fostering an environment of collaboration, innovation, and professional growth Build and maintain relationships with key stakeholders, ensuring that data products and solutions meet their needs while also advancing organizational goals. Apply the knowledge of pharmaceutical R&D processes to develop innovative solutions and products Ability to lead the team to develop and implement high quality data products, analysis ready data sets and apply human centered design to turn data into insights Collaborate with stakeholders to gather user requirements and understand the business needs. Design wireframes taking a user-centric approach to build intuitive products and iterate quickly to land on an efficient design. Review data products with stakeholders to ensure accuracy and alignment with the desired outcomes Incorporate feedback and suggest improvements to enhance the usability and effectiveness of visualizations. Manage multiple priorities simultaneously and consistently deliver high-quality work within established timelines. Set clear expectations with stakeholders regarding deliverables and project timelines. Stay up-to-date with the latest data management and analysis techniques and industry trends. Proactively identify opportunities to leverage data visualizations for improved decision-making. Qualifications A minimum of a Bachelor s degree is required, preferably with a major data science, bioinformatics, technology with 5 years of experience working in pharmaceutical or relevant industry Requirements: Knowledge and experience with pharmaceutical R&D, clinical development and operations Prior experience in working with clinical trial data: biomarker or clinical trial operations / clinical trial feasibility data Strong proficiency in Tableau and SQL: A portfolio of previously built data visualization is mandatory for interview. Expertise in data visualization principles and best practices. Add ability to query relational databases and work with ad-hoc files. Experience working with large and complex data sets. Experience leading teams Comfortable working with stakeholders to gather user requirements and incorporate feedback. Ability to manage multiple priorities and work effectively in a fast-paced environment. Excellent communication and presentation skills. Attention to detail and ability to ensure accuracy in data visualizations. Qualification : A minimum of a Bachelors degree is required

Let s do this. Let s change the world. In this vital role you will be pivotal in ensuring compliance, efficiency, and innovation in the management of data validation processes in tools like Veeva Study Startup. This position combines technical expertise, validation experience, and a strong understanding of regulatory requirements. The role also leverages domain and business process expertise to drive ongoing improvements to validation and meets our regulatory and validation procedures. This role involves working closely with developers and business analysts to ensure that the technical requirements for upcoming development are thoroughly elaborated and validated. Roles & Responsibilities: Collaborate with System Architects and Product owners to manage Validation strategy and Deliverable for the GxP applications. Defining the scope, objectives, and approach of the validation process, creating detailed validation plans, and aligning them with project timelines and resources Perform Validation testing, including Installation Qualification (IQ), Operational Qualification (OQ) for new and existing SSU Systems Ensure compliance with industry standards, regulations and internal policies during all validation activities. (GxP, FDA 21 CFR Part 11) Identify, document, and track defects during the testing process. Collaborate with development teams to define validation requirements, resolve defects and validate fixes. Maintain comprehensive audit trails and validation documentation to support regulatory inspections. Configure and optimize workflows within the Veeva Vault Management (VVM) to streamline test management and approval processes. Partner with quality assurance, IT, and business teams to ensure alignment on validation objectives and testing requirements. Act as a liaison between technical teams and stakeholders to ensure system requirements are met. Provide training to end-users on Veeva VM Testing Vault functionalities and best practices. Assist in the development and continuous improvement of validation processes and procedures Stay up to date with industry trends, best practices and evolving regulatory needs We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree OR Master s degree and 4 to 6 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelor s degree and 6 to 8 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 10 to 12 years of Life Science/Biotechnology/Pharmacology/Information Systems experience Preferred Qualifications: Must-Have Skills: Solid understanding of GxP regulations, specifically 21 CFR Part 11. Familiarity with GxP Validation management tools such as ALM, Veeva Vault Management etc. Experience in defining and executing validation strategies aligned with regulatory requirements Familiarity with risk-based approaches to validation Experience in creating and executing validation protocols (e.g., Installation Qualification (IQ), Operational Qualification (OQ)) Excellent documentation and report writing skills Good-to-Have Skills: Proficiency in automation tools, data systems, and validation software. Experience of DevOps, Continuous Integration and Continuous Delivery methodology Experience as a business analyst, with command of business analysis techniques & tools, as well as SDLC & iterative systems development methodologies Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) Veeva VM certification (preferred) Soft Skills: Able to work under minimal supervision Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Shift Information: This position operates on the second shift, from 2:00 PM to 10:00 PM IST. Candidates must be willing and able to work during these hours. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

Scope: This role is responsible for client projects that involve route designing and the synthesis of molecules according to client specifications. The position will be carried out independently or through supervision of a team of chemists. Key Responsibilities: Reaction Setup & Execution: Set up and execute reactions for the synthesis of target molecules, ensuring proper reagents and equipment are used, maintaining specified conditions (e.g., temperature, pressure). Project Understanding & Deliverables: Understand the project requirements and deliverables as specified by the manager and client. Literature & Protocol Research: Understand reaction protocols and research literature as required for efficient synthesis. Team Management & Delegation: Efficiently delegate tasks and monitor team members for effective planning, execution, and delivery. Safety Compliance: Discuss and review MSDS (Material Safety Data Sheet) with the team to identify and mitigate potential safety risks with supervisor assistance. Analytical Monitoring: Monitor reactions and use analytical techniques to observe progress. Identify appropriate workup and purification methods to ensure desired compound quality. Reporting & Documentation: Analyze and interpret analytical data, and report synthesis results accurately. Prepare weekly, monthly, and final reports as required by the client. Project Management Support: Support project managers by helping finalize project estimations, identifying relevant literature, and proposing appropriate synthetic routes/reaction designs. Safety & Equipment Maintenance: Enforce good laboratory practices and ensure the maintenance of equipment, adhering to safety and quality systems. Team Development: Guide and mentor junior team members in organic chemistry techniques, analytical methods, and project execution. Regularly review performance and train team members. Functional/Technical Skills: Chemistry Knowledge: Expertise in organic chemistry (particularly synthesis) and analytical techniques. Safety Protocols: Strong understanding of safety standards in the laboratory environment. Data Integrity & Confidentiality: Knowledge of IP protection, data integrity, and confidentiality policies. Cost-Benefit Analysis: Ability to conduct cost-benefit analyses for resource optimization. Required Qualifications: Educational Requirements: MSc in Organic/Medicinal Chemistry with 1 5 years of relevant experience OR Ph.D. or Postdoctoral Fellowship in Organic/Medicinal Chemistry with 1 3 years of relevant experience. Additional Preferences: Candidates with research publications in leading journals will be given preference.