Top Data Science Jobs in Bangalore

The Head of Decision Intelligence leads the global DI strategy, overseeing BI solutions and a team to enhance decision-making using AI and analytics.

This role involves applying data science methods to provide insights, managing analytics engagements, and developing team strategies and training objectives.

The Manager is responsible for developing strategies, managing analytics engagements, providing insights to clients, and leading the team.

The role involves leading the design and implementation of scalable data architecture and platforms, guiding teams in alignment with business objectives and driving data strategy and governance.

The Data Lead Consumer is responsible for defining and executing the data strategy, ensuring high-quality data delivery, governance, and alignment with business outcomes across the Consumer and Customer domains.

The role involves managing AI-powered supply chain solutions and delivering data-driven insights for operational improvements at KPMG.

The Data Science Engineer III will develop and maintain scalable data pipelines, enhance data processing systems, and enable AI/ML use cases, collaborating with cross-functional teams and ensuring data quality.

Lead the product management for data & analytics solutions, coordinating between business stakeholders and IT to deliver scalable, high-value solutions and ensuring ongoing enhancement and user adoption.

The IT Engineer Tech Lead will govern data acquisition architecture, establish reusable interfaces, define standards, and support data engineering teams across multiple sources, ensuring quality integration and analytics.

The role involves designing, building, and operating analytics pipelines on Google Cloud Platform, utilizing modern practices for orchestration, transformation, and machine learning integration.

As a Clinical Data Science Programmer, you will develop and validate programming code for clinical trials, ensuring data integrity and compliance with regulatory standards while collaborating with scientists and statisticians.

The Support Engineer will optimize machine learning techniques, conduct data mining, handle forecasting issues, and enhance datasets while collaborating closely with engineering and product teams.

Lead the Marketing Analytics & Data Science team, developing measurement strategies and frameworks that influence Zillow's marketing decisions. Manages a team, collaborates with stakeholders, and ensures high-quality analytical outputs while promoting career development.

The role involves owning product analytics for Search, designing and interpreting A/B tests, and collaborating cross-functionally to translate data insights into actionable strategies.

The role focuses on designing and operating analytics pipelines on Google Cloud, utilizing tools like Apache Airflow and BigQuery, while implementing CI/CD practices.

The Facilitator will deliver academic support in Data Analytics through live sessions, tutoring, and quality assurance, while collaborating on curriculum enhancements and mentoring others.

Lead data science initiatives by defining roadmaps, managing teams, and engaging clients, while driving innovative AI and analytics solutions.

Drive strategic initiatives in healthcare analytics, manage consulting projects, deliver data-driven recommendations, and engage stakeholders across the Life Sciences industry.

Manage consulting projects in healthcare analytics, providing strategic advisory services, and developing data-driven recommendations to enhance business performance.

Lead the Data Science team for Lending at Grab, overseeing credit risk modeling, guiding ML strategies, and partnering with stakeholders for data-driven insights and model governance.

Lead and manage a team of Data Scientists and Data Analysts, establishing data standards and practices in Stripe's India office while driving data-centric decision-making across the organization.

As a Data Scientist, you will enhance data productivity, develop models, collaborate with business stakeholders, and provide insights to improve product usability and reseller performance.

The role involves leading Offer Optimization solutions for airlines, managing project implementations, training analysts, and collaborating with teams for efficient solution delivery and maintenance.

As a Senior Data Scientist, you will tackle complex data science and machine learning challenges, engage with clients, and develop statistical models using advanced techniques.