Top Data Science Jobs in Delhi

Own technical delivery of data pipelines and semantic models for Power BI, ensuring performance and governance while working with stakeholders.

Manage marketing activities across multiple Asian countries, driving user growth, improving retention, and embedding AI in marketing processes.

As a Product Manager for Asia at Jeff, you will oversee Asia-based platforms, manage product strategies, enhance user experience, and launch new markets, including an AI Financial Companion app.

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.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

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.

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

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.

Lead development of AI accelerators and ML models for sustainability and safety. Engage stakeholders, mentor teams, and ensure ethical AI practices.

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

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.

Design, test, and optimize prompts for AI systems, analyze performance, collaborate with teams, and communicate findings effectively to stakeholders.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

The Principal Engineer, Data Science will utilize advanced data science techniques and cloud solutions to design and implement predictive models, collaborate with cross-functional teams, and ensure adherence to best practices in data architecture and machine learning.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

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