Top Data Science Jobs in Chennai

The role involves leading product management for data science and AI initiatives, defining roadmaps, engaging stakeholders, and driving adoption of AI products across teams.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

The Associate Engineer role involves software development, gaining modern technology exposure, and participation in skill development programs. Responsibilities include coding, debugging, and collaborating on IT solutions.

The Senior Manager, Advanced Analytics Translator leads analytics and performance initiatives, collaborates across functions, and develops analytic strategies to drive business value through data insights.

Lead the development of advanced data science models and algorithms, ensure data quality, mentor junior scientists, and collaborate with stakeholders.

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

As an Intelligence Analyst, you will create intelligence assessments on global security issues and support national security decision-making by fusing AI-derived data with open-source information. Responsibilities include producing assessments, briefings, and collaborating within an intelligence team.

As a Senior Product Manager for lending, you will shape product strategies, manage roadmaps, conduct market analysis, and oversee product development to enhance lending services in emerging markets.

The Data Science Senior Analyst conducts strategic data analysis, drives optimization, leads system changes, and communicates complex data insights to business clients. Requires strong analytical skills and team leadership.

Develop and validate statistical programming code for clinical trial data analysis and reporting, ensuring data integrity and compliance with standards.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

Lead customer analysis projects, mentor analysts, apply data science methods, communicate insights, and manage day-to-day client interactions.

Lead and manage customer analysis projects by integrating datasets, mentoring analysts, and applying data science methods to provide insights and recommendations to clients.

As a Sr. Data Scientist, you will work with large datasets, implementing ETL and machine learning pipelines while improving data quality and analyzing algorithms.

Design and develop scalable applications on Azure, collaborating with teams to meet business needs while mentoring junior engineers and ensuring cloud security.

Lead customer analysis, mentor analysts, apply data science methods, manage projects, and communicate insights to clients.

As a Product Researcher, you'll plan and conduct user research, deliver insights for product decisions, and collaborate with teams to improve user experience across Coursera's enterprise workflows.

The Senior Manager, Data Science oversees a team of Data Scientists, implementing data-driven solutions and fostering collaboration to optimize business outcomes. Responsibilities include managing analytics processes, guiding data collection, and applying machine learning techniques.

Join a talent network for upcoming opportunities in product management and engineering at Resilinc, focusing on innovative supply chain solutions.

The Principal Engineer, Data Science will lead data science projects focusing on predictive modeling, cloud solutions, and machine learning techniques while collaborating on technical designs to meet client requirements.

The Director of Data Science & Automation will lead teams in developing AI/ML solutions, influence data strategy, and deliver impactful insights, requiring extensive experience in data science and leadership.

Lead a data science team, managing projects and technical guidance while ensuring best practices in machine learning and model deployment.

Lead and develop a data science team, manage projects, and provide technical guidance in model selection and implementation for ML solutions.

Analyze raw data, develop statistical and machine learning models, and implement data management and analytics procedures. Use Python and SQL for data analysis.