Top Data Science Jobs

The Sr. AI & Data Scientist architects and delivers AI/ML solutions for healthcare, mentoring others, and partnering with leaders to achieve measurable outcomes.

The role involves leading data science projects to develop risk models and fraud prevention strategies. Responsibilities include analyzing data, collaborating with teams, ensuring data quality, and mentoring junior scientists.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The Data Scientist will apply AI/ML techniques to optimize workflows in Computer Network Operations, analyze datasets, and develop data-driven solutions. Responsibilities include collaboration, documentation, and adapting to dynamic mission needs.

The Data Scientist will apply machine learning and statistical analysis to support mission analysis, develop analytical tools, and visualize complex datasets for insights.

The Data Scientist will develop data-driven solutions, integrate APIs, manipulate data using Python, analyze large datasets, and collaborate with teams.

The Data Scientist II will support USSOCOM's POTFF program by consulting on data collection, performing statistical analyses, creating reports, and collaborating with various staff.

As a Data Scientist at Sleeper, you will analyze user behavior, build analytics systems, and develop risk insights to improve user experience and integrity on the platform.

The Data Scientist will analyze complex data, develop predictive models, and communicate results to stakeholders, focusing on consumer lending lifecycle insights.

As a Senior Mission Data Scientist, you will analyze complex data sets, develop algorithms, and build predictive analytics to aid federal health organizations in informed decision-making. You'll mentor teammates and work closely with clients to understand their data needs while applying machine learning techniques.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.

The Data Scientist will lead analytical workstreams, design clinical studies, develop scoring methodologies, build data pipelines, and collaborate with clinical teams to enhance surgical performance metrics.

The Senior Manager, Data Scientist will support the U.S. Business Unit by implementing advanced analytics, developing machine learning models, and collaborating with stakeholders to translate business needs into data-driven solutions.

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.

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.

The Data Scientist will design predictive models, analyze immigration data, create dashboards, and communicate technical findings to agency leadership.

The Data Scientist for ChatGPT for Work will use data to shape product strategy, define success, and drive improvements in adoption and retention, partnering with various teams for insights and experiments.

As a Data Scientist in the API team at OpenAI, you'll define key metrics, identify developer friction, and translate data into product decisions. Collaborating with various teams, you'll enhance data quality and create dashboards to improve platform reliability and usability.

The Data Scientist will analyze large datasets, design statistical systems, and build models to aid government clients in decision-making. Responsibilities include applying predictive modeling, optimizing processes, and collaborating on agile teams.

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

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.

As a Staff Data Scientist, you will lead data initiatives, partnering across teams to apply statistical methods and improve mental health care outcomes by translating data into actionable insights.