Top Data Science Jobs

The Senior Data Scientist will lead the development of analytics products for revenue cycle operations, mentor junior team members, and ensure scalable data solutions. Responsibilities include building metrics frameworks, executing complex analyses using SQL and Python, and collaborating with engineering teams to enhance client insights and relationships.

Design and build data schemas and models, perform analytics and transformations, run complex graph-database queries, operate in cloud compute environments, produce weekly progress highlights, and prepare briefings, slides, and user documentation while collaborating with cross-functional teams under program management.

The Data Scientist will analyze hyperspectral satellite imagery, develop machine learning models, and build data pipelines to derive insights.

The Data Scientist II role involves validating and monitoring machine learning models, conducting performance tracking, and analyzing data to improve models. Key responsibilities include writing production-level code and explaining complex analyses to non-technical audiences.

A Data Scientist extracts insights from large datasets to drive decisions using advanced statistics and machine learning, collaborating with stakeholders and ensuring data effectively supports business strategies.

As a Data Scientist, you'll analyze complex data sets, develop predictive models, and lead algorithm development to provide actionable insights for clients across sectors.

Lead statistical and analytical operations at the Philadelphia site, ensuring alignment with global strategies, mentoring teams, and enhancing drug development through advanced analytics.

The Data Scientist will evaluate supply chain data, create predictive models, and integrate data from multiple sources, requiring strong analytical skills and knowledge of statistical modeling.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

As a Staff Data Scientist, lead experimentation efforts, apply causal inference techniques, conduct deep analyses, and mentor junior scientists to influence strategic decisions across the organization.

The Data Scientist III/Sr/Principal role focuses on leading complex analytics initiatives, developing analytical solutions, and enforcing coding standards within the business intelligence team, utilizing SQL, Python, and R.

The candidate will analyze complex data to inform business decisions, design customer models, utilize machine learning tools, and collaborate across departments.

The Data Scientist Intern will analyze AI applications for compliance, assist in developing detection models, and support legal documentation.

Lead data science projects by exploring, cleaning, and analyzing structured and unstructured data. Design data pipelines, develop predictive models, create visualizations, and guide teammates. Communicate findings clearly at both strategic and technical levels to inform client decisions.

As a Mid Data Scientist, you will analyze data, develop predictive models, and communicate insights to support intelligence operations. You'll utilize various data formats, APIs, and visualizations to enhance decision-making for mission partners.

As a Data Scientist, you'll analyze structured and unstructured data, develop predictive models, and lead teams to solve complex problems using machine learning and AI.

As a Data Scientist, you'll analyze complex data sets, develop machine learning models, and create data visualizations to inform decision-making for an intelligence community agency.

As a Data Scientist, you will explore and analyze data, develop predictive models, and present findings to leadership to aid decision-making.

As a data scientist, you will analyze complex data sets to provide insights, develop predictive models, and assist clients in making data-driven decisions. You will work with various data sources and utilize machine learning techniques to solve real-world challenges.

As a Data Scientist, you will analyze data, develop predictive models, and work with machine learning techniques to solve complex problems for clients.

As a Data Scientist at eBay, you will analyze data, design A/B tests, and partner with teams to enhance AI-driven selling experiences, impacting product decisions and seller success.