Top Senior Data Science Jobs

As a Data Scientist at Promise, you'll develop AI solutions to improve government services through machine learning and document understanding, enhancing efficiency and accessibility.

As a Data Scientist at Promise, you will experiment with and apply AI to enhance government services, focusing on tasks like document understanding and classification, while ensuring ethical AI solutions.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and apply machine learning to solve critical business problems across various sectors while collaborating with clients to provide actionable insights.

As a Logistics Analytics Data Scientist, you will analyze data sets and develop models to solve complex logistics problems, guiding clients to make informed decisions.

The Bioinformatics Data Scientist will analyze data, build pipelines, evaluate tools, and collaborate on product development to enhance DNA synthesis innovations.

As a Senior Data Scientist, you will analyze complex data, develop algorithms, and create insights using machine learning and AI techniques in various sectors, while collaborating closely with clients.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Senior Data Scientist analyzes semiconductor manufacturing data, develops predictive models, collaborates with teams for process optimization, and creates data visualizations to enhance product performance.

The Lead Data Scientist will analyze user business problems, develop system recommendations, and create technical solutions within multi-disciplinary teams to enhance data management and analytics.

As a Principal Data Scientist, you'll leverage machine learning to derive insights from data, collaborate with teams, and enhance payment processes.

As a Data Scientist on Codex, you will enhance AI developer tools by defining developer productivity, running experiments, and analyzing user metrics to guide product direction.

As a Data Scientist, you'll enhance OpenAI's API solutions by defining key metrics, measuring model impacts, and improving developer experiences through analytics and cross-functional collaboration.

As a Data Scientist on the Financial Engineering team, you'll enhance payment systems, monitor analytics, and increase conversion rates while analyzing data for insights and decision-making.

The Data Scientist will support intelligence operations by applying advanced analytics to complex datasets, develop models, and collaborate with teams to enhance mission delivery.

The Data Scientist will lead automation and integration projects, define data architecture, apply AI/ML technologies, and collaborate with teams to develop solutions for federal programs.

The Experienced Data Scientist will design, develop, and deploy models using statistical and machine learning techniques, conduct data analysis, and collaborate across teams to improve model performance and address business needs.

As a Staff Data Scientist, you will enhance analytics across Flex by developing frameworks, dashboards, and causal analysis to drive strategic business outcomes.

As a Data Scientist, you'll analyze complex datasets, develop algorithms, and provide insights to solve global issues using machine learning and AI.

As a Data Engineer/Scientist, you will design and implement ML models to predict churn, generate insights, and collaborate on customer segmentation strategies.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

The Data Scientist will support the Model Management team by analyzing datasets, developing analytics, and implementing machine learning algorithms using Python, R, and SQL.

The Data Scientist will analyze data, develop solutions, and derive insights while working on statistical modeling, machine learning, and data mining techniques. They will collaborate in a cross-functional team to support federal and public agencies.

The Data Scientist Manager will develop and manage credit, fraud, and portfolio models, lead a team, and ensure compliance with financial regulations while translating business needs into effective analytics.

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.