Top Data Science Jobs in Bangalore

The role focuses on data analysis to improve search algorithms, including A/B testing, exploratory analysis, and tool development, collaborating with the engineering and product teams.

The Data Scientist will develop machine learning solutions, conduct analyses, and provide insights for the Tax function at eBay, collaborating with business teams.

As a Data Scientist II, you will design and deploy data science solutions to drive business impact, collaborate with cross-functional teams, and experiment with various algorithms in the ad tech space.

As a Data Scientist II, lead model development and contribute to machine learning product development while mentoring junior members and innovating with AI-driven features.

As a Senior Data Scientist, you will analyze large datasets, develop methodologies, and collaborate with teams to enhance Nielsen's TV audience measurement methodologies and client acceptance.

The Senior Data Scientist will develop algorithms and applications driven by data science to enhance business decisions around risk and debt collection. Responsibilities include data mining, modeling, and analyzing data to improve various business outcomes while working closely with stakeholders to implement data-driven strategies.

The Senior Data Scientist will define and build data assets, enhance product KPIs, and employ statistical modeling to inform product development and user experience across Glean's AI products.

The Data Scientist III role involves designing and deploying machine learning models for advertising solutions, collaborating across teams, and solving real-world problems with advanced analytics.

The Senior Data Scientist will tackle data science and machine learning problems, engage clients, and develop statistical models using various techniques.

Lead Data Scientist responsible for leveraging data science and ML to build algorithms, manage projects, optimize processes, and provide technical leadership. Requires extensive experience in data analytics and machine learning.

Lead the development of ML and LLM products, manage ML models, and optimize production pipelines while mentoring team members.

The Data Scientist will build and validate custom risk models and AI/ML models, collaborate with stakeholders, and improve model performance while utilizing statistical techniques.

Lead data science initiatives, develop predictive models, manage client engagements, and guide teams in delivering data-driven solutions across various industries.

As a Senior Data Scientist, you will design data-driven models for detecting email security threats, analyze vast datasets, and collaborate with cross-functional teams to enhance defenses.

The Data Scientist will leverage advanced statistical analysis and machine learning to solve business challenges in telecommunications, developing predictive models and cloud AI solutions.

The Lead Data Scientist will lead AI solution development, manage project teams, and collaborate with stakeholders to deliver client projects while ensuring high quality and timeliness of deliverables.

The Senior Data Scientist will apply ML and NLP techniques to improve user experience with IP data, validate methods, and explore data insights.