Top Data Science Jobs

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.

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 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 large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

Data Scientist needed to analyze customer interactions, optimize product analytics infrastructure, ensure data quality, and generate insights using classical and LLM methods.

Lead design and delivery of advanced measurement, predictive and causal analytics for marketing. Build and deploy cloud-based ML solutions (Vertex AI, BigQuery ML), integrate marketing and CRM data, implement MLOps best practices, mentor teams, and translate model outputs into dashboards and actionable insights to improve media performance and ROI.

The Data Scientist will analyze marketing data, develop AI insights, enhance AI capabilities, and collaborate with teams to build data-driven products.

The Data Scientist will design experimentation frameworks, analyze ad performance, build data pipelines, and develop data science models to influence marketing strategies.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

The Data Scientist will analyze large datasets using statistical software to identify insights and present findings to stakeholders, manage projects, and apply machine learning techniques.

Lead data scientist role focused on developing data-driven product strategies, analyzing complex datasets, and deploying machine learning models to enhance user experience on the GeminiApp team.

The Data Scientist will utilize advanced statistics, data analytics, and machine learning to address cybersecurity challenges, collaborating with government and industry clients, conducting research, and presenting findings.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

Lead end-to-end data science projects at Poshmark, focusing on machine learning, model development, and business impact. Collaborate with cross-functional teams and innovate with AI technologies.

The Data Scientist will collaborate with teams to shape product strategy using machine learning and econometric models on large datasets, measuring outcomes and designing data-driven solutions.

The Junior Data Scientist will build data pipelines, assist with predictive model training, and troubleshoot data quality issues, contributing to decision-making tools in the Risk & Underwriting teams.

As a Data Scientist, you'll design and implement innovative models, conduct exploratory data analysis, and mentor others while developing scalable algorithms using machine learning techniques.

The Data Scientist will design and implement causal inference models for underwriting and portfolio management, create algorithms for credit pricing, and lead ML infrastructure projects.

The data scientist will optimize credit and marketplace products using machine learning, create algorithms, analyze experiments, and manage ML infrastructure.