Top Data Science Jobs in India
The role involves developing and delivering software solutions, enhancing existing functionalities, and ensuring customer satisfaction. Participants in the IMPACT program will rotate through various tech roles, gaining hands-on experience and structured training in a collaborative team environment.
The Technical Lead will guide the software development team in creating and improving software functionalities for fire detection systems. Responsibilities include providing technical direction, participating in product design and testing, mentoring junior engineers, and collaborating with cross-functional teams on product development processes.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
As a Data Science Senior Manager, you will design, develop, and deploy AI models primarily in Retail Banking. You will lead a team of data scientists to create innovative AI solutions, utilize machine learning and statistical techniques, and collaborate closely with stakeholders to ensure solutions meet business needs. The role involves mentoring, project ownership from data collection to deployment, and translating complex data insights into business strategies.
In this internship with Little Caesars' Data and Analytics team, you will support and improve production management models, investigate variables for accuracy, and document code development. This 13-week program includes mentorship, collaboration on data initiatives, and culminates in a presentation to senior leadership about your findings and projects.
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The Senior Manager of Data Science is responsible for leading large teams to deliver analytical solutions in Banking, Finance, and Insurance. This role includes project management, mentoring junior consultants, developing predictive models, and collaborating with clients to meet their analytical needs. The manager is expected to provide thought leadership and establish bureau-based analytics capabilities.
The Senior Manager of Data Science leads teams in creating data-driven solutions using machine learning and statistical analysis, educates others on conceptual models, directs analyses for marketing effectiveness, and partners with leaders across divisions to enhance data-driven services.
As a Senior Analyst in Data Science, you will be responsible for implementing analytical solutions, extracting and analyzing data from various sources, creating data pipelines, and applying MLOps frameworks for real-time monitoring of AI/ML models. Collaborating with global teams, you will ensure timely deliveries and develop insights from data.
Featured Jobs
The Analyst Data Science role involves analyzing business problems by collecting and interpreting relevant data. The incumbent will produce actionable insights through data modeling and analytical techniques, generate BI reports, and present findings to stakeholders. A strong attention to detail, knowledge of machine learning and statistical techniques, and excellent communication skills are vital.
As a Senior Data Scientist at Target, you'll design, develop, deploy, and maintain data science models and tools to solve retail challenges in the supply chain, ensuring efficient inventory management and fulfillment planning. You'll collaborate with cross-functional teams to understand business needs and enhance operational processes.
As a Senior Manager of Data Science, you will lead a team of data scientists, manage data science projects, utilize Python for data analysis, and apply machine learning techniques. You will collaborate with cross-functional teams and present insights to stakeholders, while staying updated on industry trends.
As a Senior Product Manager at Oportun, you will develop and execute data governance strategies, leading a cross-functional team to deliver innovative solutions that align with the company's vision. Your role will involve defining product strategy, setting objectives, and collaborating with various stakeholders to enhance data management for better decision-making.
The Senior Manager of Data Science will develop and enhance data products and machine learning models for risk management, fraud prevention, and collections. Responsibilities include creating monitoring tools, building deployment platforms, and leading collaborative projects to drive business value using alternative data to optimize customer experience and marketing strategies.
The Senior Data Science Manager at Visa will lead AI and ML driven data science projects, collaborating with clients to solve strategic problems, design analytical solutions, and guide project execution, ultimately enhancing business performance in the payment industry.
The Sr Product Ops Analyst will create measurements and enhancements for the Order Management System by performing exploratory data analysis, collaborating with teams to identify product issues, build reports, and monitor key product metrics to drive improvements.
The Senior Data Science Engineer at dunnhumby will develop and maintain engineering tools to enhance data science workflows. Responsibilities include optimizing data pipelines, collaborating with infrastructure teams, and leveraging cloud services, Kubernetes, and modern web frameworks to build scalable applications.
The Data Science Manager at Micron Technology will lead efforts in smart manufacturing through data science strategies and applications. Responsibilities include developing smart manufacturing applications, providing technical consulting, solving application issues, and keeping updated with data science trends. The role also involves working with teams to build machine learning models and integrating them effectively into existing systems.
The Data Science Senior Analyst is responsible for conducting strategic data analysis, optimizing data quality, and delivering analytics initiatives to address business problems. This role involves consulting with clients, leading system change processes, and ensuring high-quality work. Strong communication, leadership, and risk assessment skills are crucial.
The role involves developing and optimizing machine learning models and AI algorithms to address complex business issues. Responsibilities include designing and fine-tuning AI models, deploying them on cloud platforms, collaborating with clients, mentoring junior team members, and staying updated on industry trends.
Lead a team of data scientists in developing advanced data science and generative AI solutions. Oversee data strategy, algorithm development, and model creation while analyzing healthcare data to generate insights and drive innovative strategies, working closely with stakeholders.
The Data Science Contractor role focuses on building and deploying machine learning systems that drive business decisions and enhance customer experiences. The contractor will collaborate with engineers and analysts, perform data analysis, evaluate ML models, and improve ML systems through upgrades and experimentation.
This role involves driving talent recruitment, engaging in strategy meetings, mentoring employees, and collaborating with business stakeholders to influence product strategy. The Engineering Manager will focus on team development and performance improvement while fostering growth opportunities within the organization.
As a Senior Staff Engineer in Data Science, you will lead technical initiatives, tackle complex client challenges, and ensure delivery of advanced data science solutions leveraging machine learning, data analysis, and statistics. You will also mentor teammates and contribute to model packaging and deployment efforts across various cloud platforms.
The Subject Matter Expert in Data Analytics (AI) at Chegg is responsible for providing expertise in the field of data analytics, specifically focusing on artificial intelligence. This role includes supporting product development and enhancing educational tools to provide a better experience for students.
Lead Data Science projects by collaborating with engineering and client success teams, designing and maintaining data science systems, building statistical/machine-learning models, and mentoring team members while ensuring integration of models into products.
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