Top Data Science Jobs

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.

Analyze complex data sets, develop predictive models, collaborate with stakeholders, design visualizations, ensure data quality, and stay updated with trends.

The Data Scientist will analyze complex datasets, develop predictive models, collaborate with stakeholders, and ensure data quality to inform business decisions.

The Data Scientist will build and maintain machine learning models, optimize user engagement forecasts, and lead experimental designs to validate business hypotheses.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Senior Data Scientist, you'll develop predictive models and machine learning solutions to drive customer acquisition, engagement, and retention strategies that influence Airwallex's growth.

The Senior Data Scientist will analyze marketing performance, develop reports, collaborate with teams, and provide data-driven insights to enhance marketing strategies and drive business growth.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Data Scientist will design and optimize data algorithms, collaborate with federal stakeholders, and evaluate datasets for immigration policy analysis.

The Data Scientist will develop machine learning models, analyze datasets, create visualizations, and partner with stakeholders to improve mission outcomes.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

The Data Scientist will develop and deploy AI systems to identify threats, mentor juniors, and collaborate on various technical products.

The Data Scientist will explore, clean, analyze, and visualize data, leveraging machine learning and AI to deliver insights and solve complex problems for clients.

The role involves analyzing datasets, developing analytics, and building predictive models using Python, R, and machine learning frameworks. A strong background in statistics and data wrangling is required, along with proficiency in SQL and data visualization tools like Tableau.