Top Data Science Jobs

The Senior Data Scientist will develop actionable insights through quantitative analysis, collaborating with cross-functional teams to enhance product decisions and optimize performance using statistical modeling and machine learning techniques.

As a Senior Data Scientist, you'll lead projects using quantitative analysis to solve business problems, build models, and enhance inventory optimization.

The Senior Data Scientist will architect and maintain data platform infrastructure, support data scientists in model development, and automate data project deployments.

Lead Data Scientist responsible for managing and optimizing Parts Long-Term Forecast processes, developing analytics solutions, and delivering insights using machine learning and statistical models.

Join the Data Science Team at Edmunds to design and implement AI-driven initiatives, optimize products, and collaborate with engineers and product managers in the development of ML solutions.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

The Product Data Scientist will drive product decisions through data analysis including A/B testing, maintain data pipelines, and collaborate with teams.

The Data Scientist will conduct complex data analysis, lead projects, and collaborate with teams to drive data-driven decisions, focusing on secure environments.

In this role, you will use data analysis and statistical modeling to identify initiatives and product features, assess business health, and provide actionable insights.

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

As a Data Scientist at Waymo, you will develop evaluation frameworks, new metrics, and statistical methods for autonomous vehicle performance and collaborate with engineering teams to ensure safety and quality.

Analyze complex datasets, develop and implement predictive models, collaborate with stakeholders to find data-driven growth opportunities, create visualizations, ensure data quality, and stay current with industry trends.

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

The Senior Data Scientist will enhance provider data insights, develop algorithms, collaborate with teams, and mentor members in a healthcare-focused environment.

Lead Data Scientist partners with stakeholders to solve business problems using data: extract SQL data, analyze with Python/R/Excel, visualize in Tableau, validate hypotheses, and present actionable recommendations; collaborate with data engineers and participate in Agile sprints.

The role involves leading analytic client engagements in financial services, developing predictive risk management solutions, and mentoring junior colleagues while managing multiple projects and delivering insights.

As a Data Scientist, you will develop, deploy, and analyze models, collaborating with teams to solve business problems and improve data quality.

Data Scientists needed to extract value from large datasets, employing analytical, statistical, and computational methods. Must communicate complex data insights effectively.

Provide data science and operations research support for national security, developing analytic methods and automated applications, and leading teams in data visualization and analysis.

Design, build, and maintain data analytics and ML solutions to support CRM, marketing, demand planning and business strategy. Query large datasets, develop and test machine learning models, perform quantitative analysis, and deliver actionable insights and visualizations to drive data-driven decisions.

Support data processing, model maintenance, and analytics reporting. Use SQL/BigQuery, R or Python, and BI tools to prepare datasets, run analyses (including media-mix and incrementality), create visualizations, and support cross-functional presentations and automation efforts.

This role involves solving complex problems in retail analytics, building predictive models, optimizing assortment decisions, and collaborating cross-functionally to enhance customer satisfaction and revenue.

Perform data science work including ETL, statistical analysis, predictive modeling, and machine learning. Lead development of algorithms and automated analytic software, create visualizations, integrate FOSS/COTS, guide teammates, and translate data into actionable insights for clients.

The Data Scientist analyzes data, develops predictive models, implements machine learning algorithms, and communicates insights to stakeholders, driving data-driven decision-making.