Top Data Science Jobs

The Data Scientist will develop and implement scalable machine learning solutions to solve business problems, collaborating with cross-functional teams.

Design and implement quantitative analytics and machine learning solutions using structured and unstructured data. Collaborate with business and technical teams to develop analytics strategy, deploy models for customer behavior and market modeling, and standardize computational services while communicating results to non-technical stakeholders.

The job involves supporting data-driven initiatives, performing analyses, building data models, and collaborating with product teams to enhance user engagement and improve business outcomes.

The Data Scientist will analyze large datasets, design machine learning models, collaborate on data management, and present findings to stakeholders.

As a Data Scientist at Kemper, you'll build predictive models and automate processes for claims operations, improving data infrastructure and monitoring solutions.

The Data Scientist will develop and maintain models for asset valuation and portfolio management, perform statistical analysis, enhance data capabilities, and work with various teams to solve complex business problems in real estate investment lending.

As an Applied Data Scientist, you'll ensure data quality, investigate discrepancies, collaborate on modeling, and maintain documentation for data processes.

The Data Scientist will analyze data, create dashboards, support strategic initiatives, and contribute to predictive modeling and machine learning efforts.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

As a Data Scientist II, you will analyze complex data, develop statistical models, and create data visualizations to support internal clients and enhance analytics capabilities. You will collaborate with technical leads and stakeholders, ensuring data quality and accuracy in deliverables.

The Data Scientist will build models using statistical and machine learning techniques, conduct analyses, collaborate with teams, and improve model performance.

The Data Scientist will analyze data to improve business operations, build AI/ML tools, visualize insights, and mentor stakeholders in AI initiatives.

Lead data science strategy across underwriting, claims, reinsurance, and portfolio management. Own multi-quarter cross-functional initiatives, design experiments and causal analyses, build scalable models and metrics, create executive dashboards, influence leadership decisions, and mentor scientists to raise technical rigor and repeatability.

The Data Scientist will build predictive models, analyze complex datasets, collaborate with engineering teams, and enhance operational efficiency through data science solutions.

The Data Scientist II will develop and improve machine learning models for document verification, engaging in model diagnostics and optimization, and collaborating with cross-functional teams to meet performance requirements.

The Senior Data Scientist will lead the development of personalization algorithms, collaborate cross-functionally, build data pipelines, and optimize machine learning models.

Perform data exploration, cleaning, analysis, and visualization; develop algorithms and predictive models using R/Python/SQL and NoSQL; analyze structured and unstructured data; apply text mining, ML, and AI techniques; work with clients to deliver actionable insights. Top Secret clearance required.

As a data scientist, you'll analyze data, develop algorithms, and provide solutions to clients using machine learning and data analysis techniques.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

As a Data Scientist, you will design statistical analyses on complex datasets, lead projects, mentor juniors, and provide actionable insights to clients, primarily working with the Department of Defense.

Embed with Product and Engineering to define success metrics, design measurement and experimentation frameworks, instrument and monitor launches, translate model-driven signals into decisions, and build repeatable decision loops to convert analysis into shipped changes.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

As a Senior Quantitative Data Scientist, you will ensure data quality, apply analytical methods for evidence generation, and collaborate with cross-functional teams to meet data strategy and analytic priorities.

The Data Scientist supports AI-driven initiatives, conducts analytics, builds machine learning algorithms, and develops technical reports. They work with large datasets to drive business improvements and enhance patient lifetime value.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.