Data Conversion Jobs in Chennai

Ecommerce Executive / Specialist Department: Ecommerce Location: Chennai Type: Full-time Overview We are seeking a results-driven Ecommerce Executive/Specialist to manage Zebronics online category portfolio across multiple marketplaces. The role focuses on driving sales growth, improving product visibility, executing campaigns, and ensuring operational efficiency across platforms such as Amazon, Flipkart, and other e-commerce channels. The ideal candidate combines analytical skills with strong operational execution to manage multiple SKUs and categories effectively. Key Responsibilities Manage Zebronics category portfolio across e-commerce platforms, ensuring high product visibility and sales performance. Develop and execute platform-specific sales strategies to drive conversions, traffic, and category growth. Coordinate with platform category managers to plan and execute promotions, deals, and campaigns aligned with business goals. Maintain product data accuracy across platforms, updating specifications, images, and new product launches. Monitor and improve content scorecards as per platform guidelines to enhance product visibility and rankings. Plan and implement pricing strategies, discounts, and seasonal campaigns to maximize sales and profitability. Track category-level P&L, analyze spend versus ROI, and ensure profitability while achieving sales targets. Collaborate with finance teams to reconcile claims, commissions, and promotional spends with marketplaces. Analyze sales data, traffic, conversion rates, and platform metrics to identify trends, opportunities, and areas for improvement. Prepare and present weekly/monthly performance reports with insights on sales, growth, and competitive benchmarking. Recommend strategic adjustments to improve revenue and operational efficiency. Work closely with marketing, inventory, finance, and logistics teams to ensure smooth campaign execution and stock management. Liaise with marketplace representatives to resolve operational issues and ensure compliance with platform SLAs and policies. Required Skills & Competencies Strong knowledge of category management, product listing, and e-commerce operations across multiple platforms. Proven experience managing multiple SKUs and ensuring operational efficiency in a fast-paced e-commerce environment. Proficiency in MS Excel (Pivot Tables, VLOOKUP, Data Analysis) for reporting and performance tracking. Strong communication and stakeholder management skills. Ability to multitask, prioritize, and manage multiple projects simultaneously. Analytical mindset with a deep understanding of online consumer behavior and sales funnel optimization.

Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field

Position: Senior Data Conversion Specialist Location: Chennai Department: Publishing Services Job Type: Full-time Industry: E-Publishing About Us At Kriyadocs , we ve partnered with prestigious publishing houses around the world for over 15 years, delivering world-class digital and print content. By leveraging cutting-edge technology, streamlined processes, and deep domain expertise, we simplify publishing workflows from authoring to distribution. Our peer review and production platforms are complemented by services like copyediting, typesetting, and project & author management. Our mission is to create outstanding experiences for authors, publishers, and employees through innovation and technology, helping bring authors work to life and share it with the world. We re driven by a passion for customer-first solutions, and we empower our team to take on challenges, exchange knowledge, and enrich processes across the publishing ecosystem. What It s Like to Work Here We re a fast-growing team of smart, enthusiastic individuals with a can-do attitude. We believe in: Customer-First: We put our customers at the heart of everything we do. Continuous Learning: We embrace innovation and encourage growth. Collaboration: We work as a team, solving challenges together. If you're looking for a place where you can make a real impact, come join us! Role Overview We re looking for an experienced Senior Data Conversion Specialist to join our dynamic team. You ll be responsible for converting content into various formats, ensuring high-quality deliverables while adhering to tight deadlines. Your role involves working with XML, digital technologies, and conversion tools, while collaborating with internal teams and clients to resolve issues and meet project goals. Key Responsibilities Meet daily benchmarks and ensure timely project delivery. Ensure there are no escalations or complaints from internal or external stakeholders. Maintain accurate project records and documentation. Communicate product-related issues with detailed information and improvement suggestions. Use appropriate tools to ensure the quality of delivered content. Deliver final files to clients on specified platforms in a timely manner. Adhere to client Service Level Agreements (SLAs). Evaluate and onboard freelancers/vendors as needed. Study and understand client requirements, create instruction documents, and produce conversion samples. Analyze customer requirements to define tool requirements and document for automation. Work independently or in a team to meet tight deadlines. Skills & Experience Strong knowledge of XML, including both book and journal XML formats. Hands-on experience working with DTD, MathML, and XML editors (Epsilon, XML Exchanger, Oxygen XML, Notepad++, etc.). Familiarity with digital technologies such as XPath, XSLT, Schema, and ePub. Experience with third-party deliverables like PubMed, PMC, Ingenta, HighWire, Atypon, and Crossref. Excellent communication, problem-solving, and analytical skills. Strong attention to detail, ability to maintain quality under pressure, and a proactive learning attitude. Eligibility Criteria Role: Senior Data Conversion Specialist Location: Chennai Experience: 5+ years of related experience in data conversion or a similar field. Qualification: Bachelor's degree preferred. Equivalent years of experience may be considered in lieu of a degree. Qualification : Bachelor's degree preferred

Role: Digital Marketing Executive Experience Required: 3 5 Years Location: Chennai Job Description: We are looking for a highly motivated and skilled Digital Marketing Executive to join our team in Chennai. The ideal candidate will have hands-on experience in managing and optimizing a variety of digital campaigns across multiple channels. Key Responsibilities: Plan and execute digital marketing campaigns, including email, social media, SEO/SEM, and display advertising. Build, manage, and grow the company s presence across social media platforms. Analyze campaign performance data to identify trends and insights, and optimize strategies accordingly. Develop innovative and creative growth strategies that align with business goals. Collaborate with internal teams to design and create landing pages that enhance the user experience. Improve user journeys and optimize conversion points throughout digital channels. Ensure digital strategies are aligned with the overall goals and KPIs of the organization. Continuously research and adopt emerging digital marketing tools and technologies. Key Skills & Requirements: 3 5 years of proven experience in digital marketing. Demonstrated success managing SEO/SEM, email, social media, and display advertising campaigns. Strong creative thinking and the ability to design campaigns that captivate and convert. Proficiency in creating and optimizing landing pages and user funnels. In-depth knowledge of Google Ads (AdWords) campaign creation and optimization. Hands-on experience with HTML, CSS, WordPress, and JavaScript. Strong analytical skills and a data-driven approach to decision-making. Up-to-date with the latest digital marketing trends, tools, and best practices. Familiarity with ad-serving technologies and platforms.

Job Title: Content Writer Location: Chennai Experience: 1 2 Years Qualification: B.A. (English), B.A. (Journalism) Employment Type: Full-Time Job Overview We are seeking a creative and detail-oriented Content Writer to join our team. The ideal candidate will have a strong command of the English language, an understanding of content strategy, and a passion for crafting engaging and SEO-friendly content across multiple platforms. This role will support our marketing efforts by creating compelling content that drives traffic, engagement, and leads. Key Responsibilities Own and execute content marketing initiatives that support traffic generation, audience engagement, and lead conversion. Research and write original, SEO-optimized content for websites, blogs, articles, case studies, newsletters, emails, infographics, and other digital assets. Analyze content performance and create strategies to improve engagement and reach. Collaborate with internal teams (marketing, design, product) to develop innovative content ideas aligned with business goals. Ensure content aligns with brand tone, voice, and messaging. Apply on-page and off-page SEO principles, including keyword integration and metadata optimization. Distribute content strategically across various digital channels including PR platforms, forums, guest blogs, and social media. Repurpose existing content for different formats and channels to maximize reach. Create content that supports product launches, updates, and promotional campaigns. Edit, proofread, and ensure all content is grammatically sound, clear, and consistent. Monitor trends in content marketing and social media to keep strategies up to date. Requirements Bachelor's degree in English, Journalism, or a related field. 1 2 years of professional content writing experience, preferably in digital marketing or SEO. Excellent writing, editing, and proofreading skills with strong attention to detail. Knowledge of SEO best practices, including keyword research and content optimization. Familiarity with content management systems (CMS), Google Analytics, and basic HTML (preferred). Understanding of social media platforms, their audiences, and best content practices. Ability to manage multiple projects and meet tight deadlines. Strong collaboration and communication skills. Qualification : Bachelor's degree in English, Journalism, or a related field

Sales Support Specialist Location: Chennai Employment Type: Full-Time We re looking for a Sales Support Specialist to take charge of the top of our sales funnel generating and qualifying leads for our software-services offerings. In this high-impact role, you'll proactively engage prospects through cold calls, emails, LinkedIn, and more to schedule qualified meetings for our Account Executives. Over time, you'll also have the opportunity to help grow and mentor a high-performing lead generation team. Key Responsibilities Lead Generation & Outreach Drive outbound prospecting via cold calls, personalized emails, LinkedIn messages, and social channels Research and identify key decision-makers in target accounts across verticals like Healthcare, Industrial IoT, Manufacturing, and Semiconductors Build and manage a strong pipeline of qualified leads Qualification & Meeting Scheduling Conduct initial discovery calls to assess needs and ensure fit with our services Book high-quality meetings and seamlessly hand off warm leads to the sales team CRM & Campaign Management Maintain accurate records in CRM tools (e.g., Salesforce, Apollo, ZoomInfo, Sales Navigator) Develop and optimize outreach cadences using automation tools Reporting & Optimization Track and report on daily and weekly KPIs calls made, meetings booked, pipeline value, etc. Analyze campaign performance and continuously refine messaging for better conversions Team Building & Mentorship (Future Opportunity) After proving individual success, contribute to hiring and coaching 1 3 junior team members Share best practices and help document lead-gen processes Required Qualifications 3 8 years of experience in sales support or inside sales with proven pipeline-building success Background in selling software-services or professional services (e.g., IoT, QA/testing, AI/ML, custom software) Proficient in multichannel outreach cold calling, email, LinkedIn, social selling Strong written and verbal communication skills Experience with at least one of the following industries: Healthcare, Manufacturing, Industrial, or Semiconductor Skilled in using CRM and sales enablement tools Preferred Skills & Attributes Self-motivated with a strong hunter mentality resilient, target-driven, and action-oriented Quick learner with the ability to understand technical solutions and communicate business value Experience mentoring or leading junior sales reps is a plus Highly organized, detail-focused, and data-driven in your sales approach

Senior Data Scientist AI/ML Location: Chennai About the Team Join the ZF Center of Excellence (COE) team, where we translate complex AI, Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) concepts into impactful solutions. Our team communicates cutting-edge research insights to both technical and non-technical audiences, including presentations at conferences and publications in academic journals. What to Expect in this Role Conduct advanced research to develop innovative AI/ML methodologies, with a focus on DL and RL techniques. Design and execute experiments to validate new approaches and benchmark machine learning algorithms. Analyze complex datasets to discover hidden patterns that drive AI innovation. Stay current with the latest advancements in algorithms, tools, and theoretical frameworks, exploring areas such as model interpretability and efficient deep learning training. Prototype and evaluate advanced models like CNNs, RNNs, and other deep learning architectures. Develop foundational algorithms and frameworks applicable across diverse machine learning challenges. Focus on enhancing model efficiency, reducing bias, and improving explainability. Document research methods, experiments, and theoretical contributions to facilitate knowledge sharing. Shape the team s long-term research vision and strategic goals. Candidate Profile Master s degree in Mathematics, Computer Science, or related fields; PhD is a strong plus. 8+ years of research and development experience with deep knowledge of data structures and algorithms. 5+ years experience deploying ML models in production environments. Proficient with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing and large-scale data processing systems. Strong communication and teamwork skills. Experience contributing to invention disclosures and intellectual property processes. Proven publication record in leading machine learning conferences or journals. Innovative Environment: Work at the forefront of technology with a culture that fosters creativity and continuous growth. Diverse & Inclusive Culture: Thrive in an environment that values diversity, equity, and mutual respect. Career Development: Benefit from extensive training, clear advancement paths, and global project opportunities. Global Presence: Collaborate with international teams and contribute to world-class driveline and chassis technologies. Sustainability Commitment: Play a role in eco-friendly initiatives and reducing environmental impact. Employee Well-being: Enjoy health and wellness programs, flexible work options, and a supportive work-life balance. Join Us Take your AI/ML expertise to the next level with ZF. Apply now for the Senior Data Scientist AI/ML role and contribute to shaping the future of mobility! Our Commitment to Diversity, Equity & Inclusion (DEI) At ZF, we are dedicated to building a culture of inclusion where diversity is celebrated. We work to remove barriers so every employee can thrive and contribute to our shared legacy of innovation and excellence. Qualification : Masters degree in Mathematics, Computer Science, or related fields; PhD is a strong plus

Job Title: Data Engineer Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 to 4 years Job Description Blackstraw Technologies Pvt Ltd is seeking a skilled Data Engineer to join our dynamic team. You will play a crucial role in transforming raw data into actionable insights by designing and maintaining robust data pipelines and systems. Your work will ensure alignment between data infrastructure and business goals, helping to drive efficiency and scalability. You will leverage your analytical skills and proficiency in various programming languages to integrate, process, and optimize data from diverse sources. You will also collaborate closely with data scientists and end-users to support data-driven decision-making. Key Responsibilities Design, build, and integrate data pipelines from multiple sources for analytics and operational purposes. Perform data integration and troubleshoot production and development issues. Develop, automate, and optimize ETL pipelines and workflows. Work with big data technologies including Hive, Spark, and Hadoop; optimize performance for large-scale data processing. Write and maintain efficient Spark/PySpark or Spark/Scala programs. Utilize strong SQL skills for querying and database design. Develop shell scripts (Unix/Linux) to automate data processing tasks. Collaborate with data scientists and various business teams to understand and fulfill data needs. Maintain and deploy ETL code following Agile methodologies. Handle service delivery tickets and provide support related to ETL tools. Participate in root cause analysis and problem resolution for data pipeline issues. Required Skills & Qualifications Bachelor s degree in Computer Science, Information Technology, or related field; Master s degree is a plus. 2 to 4 years of hands-on experience in data engineering or related roles. Strong expertise in ETL development and data integration tools. Proficiency in Spark (PySpark or Scala), Hive, and Hadoop ecosystem. Advanced SQL skills and experience with relational database management systems (RDBMS). Experience with shell scripting in Unix/Linux environments. Familiarity with Java, Python, or Scala programming languages is desirable. Knowledge of Cloud platforms (Azure preferred) is a plus. In-depth understanding of Retail domain data and business processes is advantageous. Excellent analytical, organizational, and communication skills. Experience with Agile project management and teamwork. About Blackstraw Technologies Pvt Ltd Founded in 2015 and fully operational since 2018, Blackstraw Technologies is a global software products and services company specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Our AI platform accelerates data labeling, model training, and deployment across cloud and on-premise environments. Our 250+ member team boasts over 900 years of combined experience, focusing on areas such as computer vision, natural language processing, and deep learning annotation tools. We enable enterprises worldwide to rapidly adopt AI in a cost-effective, plug-and-play manner. Headquartered in Florida, USA, Blackstraw has operations across Canada, the USA, and India. Qualification : Bachelors degree in Computer Science, Information Technology, or related field. Masters degree is a plus.

Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.

Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.

Operations IT Data Technologist About Dow At Dow, we put people first and are committed to integrity, respect, and safety for our employees, customers, and the planet. We are a diverse community of relentless problem-solvers who thrive on collaboration, innovation, and the pursuit of a sustainable future. By leveraging science and technology, we help transform industries and shape the world we live in. If you're looking for a meaningful and challenging role, you're in the right place. About the Role As an Operations IT Data Technologist, you will play a key role in data management and system optimization within manufacturing facilities. You will lead and support projects, manage SAP Master Data Configuration, and ensure alignment across global operations. This role requires a strong understanding of maintenance and operations, along with expertise in SAP, data analytics, and IT systems. Responsibilities Manage and optimize master data, including the global Maintenance, Repair, and Operating (MRO) supplies catalog and SAP configurations. Ensure data alignment across global manufacturing sites. Lead projects involving data transfer (e.g., moving data to a tenant in case of divestiture). Analyze and improve data processes, utilizing methodologies such as data mining, statistics, visualization, optimization, and simulation. Facilitate collaboration between site maintenance, production leaders, and business end users to drive continuous improvement. Provide expertise in Operations ITOT, ensuring system effectiveness, training, troubleshooting, and targeted improvements. Align global priorities within a defined business process area to maximize value. Qualifications Bachelor s degree in Engineering, Manufacturing, or a related field. 10+ years of experience in maintenance, operations, or IT-related roles in a manufacturing environment. Strong leadership and facilitation skills to drive improvement initiatives. Skills & Technical Expertise SAP BO Data Services (BODS) SAP HANA / LSMW SAP Information Steward Mass data loads in SAP Tableau for data visualization Fluency in English and experience working in a global environment Additional Information Relocation assistance is not available for this position. Flexibility to work across international time zones may be required. Total Rewards & Benefits Competitive Salary & Bonus Equitable and market-competitive pay with performance-based incentives. Career Growth Extensive learning, mentoring, and development opportunities. Retirement & Financial Planning Savings plans, employee stock purchase programs, and financial education resources. Health & Wellbeing Robust medical, life insurance, and mental health support. Flexible Work Culture Role-based flexibility for work-life balance. Parental Leave & Family Support Paid leave for new parents and caregivers. Time Off & Volunteer Programs Paid vacation, volunteering opportunities, and Employee Resource Groups (ERGs). On-Site Fitness & Discounts Gym memberships, shopping discounts, and travel insurance (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science. With 1,000+ employees, our manufacturing sites, innovation centers, and commercial offices drive advancements in packaging, infrastructure, automotive, and consumer care. We are Great Place to Work Certified and actively support Corporate Social Responsibility (CSR) initiatives that empower women, children, and differently-abled individuals through technology and employee volunteerism. Join Our Team & Make an Impact! At Dow, diversity is our strength, and we are committed to equal opportunities for all. If you need any accommodations during the application or interview process, please let us know. Apply now and be part of a global team shaping the future through science and innovation!

Position: SEO Manager About DevRev: At DevRev, SEO is a critical component of our demand generation and marketing strategies. As a company, we re focused on growing through SaaS, AI, customer centricity, and revenue marketing. We are looking for someone passionate about SEO to play a key role in driving our SEO initiatives and strategies. The goal is to maximize organic search traffic by improving SERP rankings for relevant keywords. We re excited to welcome a dedicated SEO expert who thrives in a dynamic, fast-paced environment to help us achieve this mission. Role Overview: As an SEO Manager, you will be responsible for developing and executing DevRev s SEO strategy to drive sustainable organic growth. You will work closely with our content, web development, and marketing operations teams to ensure the implementation of SEO best practices across the organization. Your main focus will be optimizing the site to increase organic traffic, improve conversions, and ultimately drive revenue. Key Responsibilities: SEO Strategy: Develop and execute an SEO strategy to drive organic growth, focusing on keyword research, content optimization, and technical SEO. Content Optimization: Work closely with the content team to define the content strategy, identify SEO opportunities, and create a content calendar to capture organic traffic. Technical SEO: Collaborate with the web development team to implement technical SEO best practices and maintain an optimal site architecture. Measurement & Reporting: Define and drive regular reporting cadences (weekly, monthly, quarterly) to measure SEO activity impact, in collaboration with marketing operations. SEO Trends: Stay updated on SEO trends, algorithm updates, and industry changes to refine strategies and maintain a competitive edge. Lead Conversion: Monitor and analyze the conversion of traffic to leads and pipeline, providing insights to optimize the SEO roadmap. Team Development: Build and manage a team of motivated SEO experts to scale organic efforts. Stakeholder Communication: Manage regular updates to stakeholders, ensuring the team is aligned on goals, progress, and outcomes. Requirements: Experience: 6-9 years of hands-on SEO experience, specifically with Google Search. Experience in B2B SaaS is a plus. SEO Expertise: Deep knowledge of keyword research, content optimization, technical audits, internal linking, and backlink development. Tools Proficiency: Expertise in using Google Analytics, Google Search Console, Ahrefs, Semrush, HubSpot, and Google Tag Manager. Content Strategy: Experience working with content teams to create and execute content strategies focused on SEO. Data Reporting: Proficient in using Google Data Studio to create and manage SEO reports. Conversion Optimization: Ability to identify opportunities to convert organic traffic into leads and pipeline and experiment to improve those conversions. Project Management: Excellent project management and collaboration skills, with the ability to manage cross-functional teams and prioritize high-impact activities. Team Leadership: Experience in managing or mentoring a team of SEO professionals. Culture: At DevRev, we are deeply committed to the values of hunger, humility, honesty, and acting with heart. Our mission is to help build the earth s most customer-centric companies by empowering engineers with design, data engineering, and machine intelligence to connect with their customers.

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

About Comcast: Comcast is a Fortune 50 leader at the intersection of media and technology. With a focus on innovation, we create groundbreaking entertainment and online experiences for millions of customers worldwide. If you're passionate about teamwork, revolutionizing industries, and leading the future of media and technology, Comcast is the place to grow your career. Job Summary: The Data Analyst will work cross-functionally to collect, analyze, and model data to uncover trends and provide actionable insights. You'll support key business decisions through exploratory analysis, forecasting, and optimization. This role requires in-depth technical expertise, independent prioritization, and clear communication of findings to stakeholders. Core Responsibilities: Data Collection & Analysis: Work with business leaders to understand requirements and develop technical specifications. Retrieve, analyze, and summarize complex data from platforms like Teradata, SQL Server, Hadoop, and AWS. Identify relevant data sources and combine disparate datasets for actionable insights. Exploratory & Predictive Analysis: Conduct exploratory data analysis and hypothesis testing to uncover trends and drivers. Develop forecasting models for key business metrics such as sales and demand. Measure the impact of campaigns, features, or initiatives and identify opportunities for improvement. Visualization & Communication: Create narrative-driven presentations and effective data visualizations for executives and decision-makers. Communicate insights clearly and concisely to influence strategic business decisions. Innovation & Collaboration: Stay updated on trends in analytics, statistics, and machine learning, and apply them to solve business challenges. Promote a culture of knowledge sharing, healthy skepticism, and teamwork within the organization. Customer-Focused Approach: Drive results by integrating feedback from customers and employees via Comcast s Net Promoter System (NPS). Champion the customer experience and advocate for seamless digital interactions. Compliance & Accountability: Adhere to Comcast s Operating Principles and ensure regular, consistent, and punctual attendance. Fulfill additional duties as needed. Qualifications: Must-Have: Proven experience with big data platforms (e.g., Teradata, SQL Server, Hadoop, AWS). Strong proficiency in data analysis, hypothesis testing, and forecasting techniques. Ability to develop clear and compelling data visualizations and presentations. Exceptional problem-solving and independent judgment skills. Preferred: Knowledge of emerging analytics trends, statistics, and machine learning. Experience with business operating frameworks and a results-driven approach. Familiarity with Net Promoter System (NPS) feedback integration. Diversity & Inclusion: We believe diverse perspectives drive innovation and success. Growth-Oriented Culture: We foster an environment of learning and collaboration. Employee Benefits: Comprehensive benefits package, flexible schedules, and career development opportunities. Impactful Work: Be part of an organization that shapes the future of media and technology. Disclaimer: This description provides a general overview of the role. It is not intended to encompass all responsibilities or qualifications. Comcast is proud to be an equal-opportunity workplace, considering all applicants regardless of race, religion, gender, disability, or veteran status.

We are seeking a Senior Data Scientist with experience in various data science techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology. This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models. Responsibilities Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data preprocessing, training, optimization, and evaluation of models Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models Use appropriate metrics and statistical analysis to measure and interpret results Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders Requirements Bachelor s or master s degree in computer science, Data Science, Statistics, or related field 5 to 8 years of solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP Proficiency in Python Experience Deep Learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Familiarity with cloud services (AWS, Google Cloud, Azure) Excellent written and verbal communication skills Nice to have Proficiency in Docker and Kubernetes We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or masters degree in computer science, Data Science, Statistics, or related field

We are seeking a highly experienced Senior Big Data Software Engineer to join our dynamic team and tackle challenging projects that will enhance your skills and career. As a Senior Engineer, your contributions will be critical in designing and implementing Big Data solutions across a variety of projects. The ideal candidate will possess deep experience in Big Data and associated technologies, with a strong emphasis on Apache Spark, Python, Azure and AWS. Technologies Hadoop Hive Responsibilities Develop and execute end-to-end Big Data solutions to meet complex business needs Work collaboratively with interdisciplinary teams to comprehend project needs and deliver superior software solutions Apply your expertise in Apache Spark, Python, Azure and AWS to create scalable and efficient data processing systems Maintain and enhance the performance, security, and scalability of Big Data applications Keep abreast of industry trends and technological advancements to foster continuous improvement in our development practices Requirements 5-8 years of direct experience in Big Data and related technologies Advanced knowledge and hands-on experience with Apache Spark High-level proficiency with Hadoop and Hive Proficiency in Python Prior experience with AWS and Azure native Cloud data services We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of direct experience in Big Data and related technologies

About ICON: ICON is a world leader in clinical research, providing services to the pharmaceutical, biotechnology, and medical device industries. Our mission is to help improve patients' lives by accelerating the development of life-saving drugs and devices. ICON s commitment to diversity, performance, and development makes us an ideal place for talent to thrive and grow professionally. Role Overview: The Senior Clinical Data Science Programmer will focus on SQL development and visualization design within clinical data management. You will be responsible for designing data management reports, including Clean Patient Trackers, DM Metrics, and Coding Listings, as well as ensuring efficient data flow across various functions. You will collaborate across teams and organizations, using tools like Elluminate, Spotfire, Qlik, and Tableau, to deliver impactful reports and data insights. Key Responsibilities: Technical Data Management: Strong SQL skills in the context of clinical data management, including report generation and data visualization. Design, develop, and maintain Data Management Reports and Listings (Clean Patient Tracker, DM Metrics, Coding Listings). Have an in-depth understanding of end-to-end data flow in clinical data management. Create and manage technical specifications and documentation related to data reporting. Collaboration & Problem Solving: Work effectively in a matrix environment, collaborating across multiple functions and teams. Influence stakeholders and drive data management best practices without authority. Demonstrate leadership and contribute to conflict resolution, team building, and fostering a collaborative work environment. Compliance & Standards: Ensure compliance with Good Clinical Practices (GCP) and relevant regulations. Have strong knowledge of CDISC, SDTM standards, and ensure reports align with these standards. Visualization & Reporting: Lead visualization design and ensure the creation of clear, informative, and actionable data visualizations. Use Elluminate, Spotfire, Qlik, and Tableau to build and maintain dashboards and data visualizations that aid in clinical data analysis. Leadership & Communication: Provide clear and concise communication to stakeholders regarding data findings, issues, and resolutions. Demonstrate excellent problem-solving and conflict resolution skills, fostering strong working relationships. Required Qualifications: Life science graduation or equivalent. 5+ years of experience in clinical data management and programming. Strong expertise in SQL and data visualization tools such as Elluminate, Spotfire, Qlik, Tableau. In-depth experience with Data Management Reports and an understanding of the clinical data management environment. Strong knowledge of CDISC, SDTM standards. Excellent written and oral communication skills. Experience working in the biotechnology or pharmaceutical industry is highly preferred. Benefits of Working at ICON: Competitive salary with variable pay and recognition programs. Comprehensive benefits package: Health insurance, retirement planning, and more. Work-life balance initiatives including flexible country-specific benefits such as childcare vouchers, gym memberships, travel passes, and health assessments. Global Employee Assistance Programme offering 24-hour access to a global network of over 80,000 independent professionals. Life assurance and additional family-focused benefits. Why Choose ICON? At ICON, we believe our people are the key to our success. Join us and be a part of a dynamic, global team that fosters a culture of growth, development, and collaboration. If you are ready to take on an exciting role where you can make a direct impact on the advancement of clinical research, we would love to hear from you. How to Apply: If you're passionate about leveraging data to drive clinical insights and improve patient outcomes, apply now to join the ICON team. Qualification : 5+ years of experience in clinical data management and programming.

Billing Specialist (Demo and Charge Entry) Location: Chennai Department: Billing Operations Career Band: Professional II Role Overview: The Foundation of Billing Accuracy We are seeking a detail-oriented Billing Specialist to manage the critical front-end of our Revenue Cycle. You will be responsible for the precise entry of Demographics and Charges, ensuring that patient information is verified and billing data is submitted according to strict client protocols. Core Technical Responsibilities Data Management & Entry: Demographics (Demo) Entry: Accurately pull or create patient records using Face Sheets. Verify name, DOB, and contact details to prevent downstream claim rejections. Charge Entry: Translate medical services into billable charges by following specific Client Protocols and guidelines. Document Handling: Access and securely download Super Bills and Face Sheets from client file servers. Verification & Quality Control: Insurance Eligibility: Proactively check and update Eligibility Status to ensure the insurance provider is active before billing. Log Maintenance: Track and maintain status logs to ensure 100% accountability for all files received. Query Resolution: Maintain a real-time query log and ensure all client queries are updated by End of Day (EOD). Requirements & Qualifications Experience: Minimum 1 year of professional experience specifically in Demo and Charge Entry. Education: Graduate in any stream. Typing Proficiency: High speed and accuracy in typing to meet daily volume targets. Attention to Detail: Ability to spot discrepancies between Face Sheets and system data. Reporting Structure: Reports to Team Leader Billing Operations. Qualification : Graduate in any stream

Integration Engineer Location: Chennai Experience Required: 4 5 Years Domain: US Healthcare / RCM Role Overview: Architecting Healthcare Connectivity We are seeking a Integration Engineer to build and maintain the bridges between healthcare platforms, clearinghouses, and our in-house data engine. You will be responsible for ensuring seamless data flow across EMRs, PM systems, and clearinghouses, leveraging a mix of traditional EDI standards and modern API-driven automation to drive RCM efficiency. Technical Expertise & Required Skills Healthcare Interoperability & EDI: X12 EDI Transactions: Hands-on implementation of 837 (Claims), 835 (Remittance), 270/271 (Eligibility), and 276/277 (Claim Status). HL7 & Standards: Deep understanding of HL7 interfaces for real-time and batch healthcare data exchange. Clearinghouse Integration: Proven experience connecting healthcare systems with major clearinghouses and data platforms. Automation & Modern Development: Web Scraping: Proficiency in Node.js and Puppeteer.js for headless browser automation and complex data extraction. API & Web Services: Strong experience with REST and SOAP API integrations. Cloud Environment: Familiarity with Google Cloud Platform (GCP), specifically App Engine, Cloud Functions, and Pub/Sub. Data Architecture: Solid understanding of NoSQL databases and data transformation pipelines. Key Responsibilities Design & Development: Architect seamless integrations between internal data engines and third-party healthcare applications. Compliance Management: Ensure all data exchanges strictly adhere to HIPAA standards and healthcare security protocols. Cross-functional Collaboration: Partner with Data Science and Automation teams to deploy and monitor integrations in GCP environments. System Optimization: Proactively troubleshoot and enhance integration performance for maximum scalability and reliability. Legacy Support: (Preferred) Work with PHP (Laravel) applications where necessary to maintain existing integration logic. What Makes You a Great Fit 4 5 years of specialized experience in the US Healthcare RCM domain. The ability to handle "non-standard" data extraction through automation workflows when traditional APIs are unavailable. Excellent debugging skills for complex, multi-party data pipelines. A collaborative mindset focused on creating high-impact, innovative healthcare technology solutions.

Reconciliation Specialist Location: Chennai Experience: 2 5 years Employment Type: Full-Time Job Summary We are seeking a detail-oriented Reconciliation Specialist to manage and execute accurate financial reconciliations. The ideal candidate will have a strong background in account reconciliation, excellent problem-solving skills, and hands-on experience with tools like Excel and Tally. Key Responsibilities Perform detailed reconciliations of customer accounts, bank statements, and payment processor reports. Identify and resolve discrepancies in a timely and accurate manner. Collaborate with cross-functional teams (e.g., Accounting, Operations) to investigate and resolve inconsistencies. Analyze reconciliation data to spot trends, anomalies, and potential risks. Maintain comprehensive documentation for all reconciliation processes and activities. Support continuous improvement of internal controls, policies, and reconciliation workflows. Utilize Excel and Tally for automating reconciliation tasks, generating reports, and improving overall efficiency. Requirements 2 5 years of experience in reconciliation, accounting, or finance roles. Strong understanding of reconciliation principles and financial accuracy. Proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, etc.) and Tally. Excellent analytical and problem-solving skills. Attention to detail with strong organizational and documentation abilities. Ability to work independently as well as collaboratively across teams. If you are meticulous, process-driven, and thrive in a high-accuracy financial environment, we d love to hear from you!