Top Data Science Jobs in Delhi

As a Senior Data Scientist at Saks, you will build machine learning solutions, address business problems, and demonstrate outcomes to stakeholders. You will collaborate with the team, apply advanced algorithms, and stay updated on machine learning advancements, focusing on customer analytics and product development in ecommerce and retail domains.

The Data Scientist will develop and implement AI models to solve complex problems, collaborating with stakeholders to convert business problems into analytical use-cases. The role involves data exploration, machine learning model development, driving innovation, and ensuring scalable analytics solutions, while adhering to best practices in coding and continuous learning.

The Associate Data Scientist role at MetLife involves working with data to deliver insights and support business decisions. The position likely includes data analysis, model development, and collaboration with cross-functional teams.

The Senior Data Scientist will leverage data analytics and statistical modeling to extract insights that influence strategic decisions. Responsibilities include designing experiments, collaborating with cross-functional teams, and building predictive models to enhance business performance.

As a Data Scientist in the Solution Consulting team, you will develop data-driven solutions by collaborating with team members, utilizing cutting-edge technologies like machine learning and cloud services. You will analyze diverse data, create POCs, and deliver actionable insights to clients, ensuring the stable deployment of your solutions.

As a Senior Data Scientist at Oportun, you will develop machine learning models and data products for assessing risk, fraud detection, and optimizing marketing strategies. Responsibilities include building data pipelines, monitoring tools, and leading collaborative initiatives for model governance. You will work with various data sources to create insights that enhance financial inclusion for underbanked consumers.

The Data Scientist will leverage analytical skills and machine learning to create predictive models and data-driven solutions, focusing on pricing optimization, customer segmentation, and revenue optimization. Responsibilities include driving analytical strategy, collaborating with stakeholders, performing data analyses, developing and validating machine learning models, and leading other analysts in model development.

As a Data Scientist at BitGo, you will develop data-driven insights, create metrics and dashboards, automate reporting, design experiments, and enhance data quality by collaborating with cross-functional teams to support business growth.

The Staff Data Scientist will design data-driven strategies for optimizing ad effectiveness on native Android platforms, implement predictive models for ad targeting, analyze user behavior, and provide mentorship to junior data scientists, ensuring alignment with business objectives and user experience goals.

As a Data Scientist at Turing, you will analyze data to drive improvements in products and operations. You will define success metrics, perform statistical analysis, create dashboards, and present insights to both technical and non-technical stakeholders. You'll thrive in a fast-paced environment, collaborating with product leadership to influence strategy.

The Senior Data Scientist will design and implement end-to-end data science solutions, develop large-scale data pipelines using AWS Glue and PySpark, build and deploy machine learning models with Amazon SageMaker, and monitor production models using AWS CloudWatch. This role also includes automating deployment processes for improved MLOps workflows.

The Senior Data Scientist will build, test, and maintain NLP solutions, manage small-scale projects, and ensure the robustness of data science pipelines. Responsibilities include data analysis, model development, and collaboration with technology teams for production-ready implementations.

The Credit Data Scientist will develop and manage credit models for innovative products, ensuring alignment with strategic goals and collaborating with product managers and engineers. Responsibilities include building from the ground up, utilizing machine learning, conducting experiments, and guiding the team in extracting insights from complex datasets.

The Senior Data & AI Specialist will design and implement advanced data analysis and AI models, perform data analysis and visualization, develop predictive models using machine learning techniques, and collaborate with cross-functional teams to align customer needs with business objectives.