Top Data Science Jobs

The Principal DSX Data Scientist leads the development of scalable tools and statistical platforms, driving automation, workflow optimization, and collaboration in data-driven decision-making across Product Development Data Sciences.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

As a Staff Data Scientist, you will design and optimize advanced machine learning models for fraud detection and risk management, lead initiatives, mentor peers, and collaborate across teams.

Lead and enhance financial forecasting systems at Duolingo, working with various teams to deliver accurate forecasts and insights, while mentoring data scientists and advancing technical methods.

The Senior Data Scientist will analyze complex data sets, provide insights, and drive data-driven decision-making in the Avail team collaborating with business stakeholders across functions.

The Data Scientist will develop physics-based simulation models, perform modeling for satellite missions, and conduct sensor phenomenology studies. Experience with Python for automation and data analysis is essential.

As a Data Scientist at BETA Technologies, you will create and manage data pipelines, build machine learning models, perform data analysis, and collaborate with stakeholders to provide data-driven solutions, ensuring quality and efficiency in operations.

As a Staff Data Scientist at Coupang Ads, you'll develop monetization strategies, analyze KPIs, conduct A/B tests, and create forecasting models to enhance advertising solutions.

As a Data Scientist Level 3, you will apply data science expertise to national security challenges, develop analytical tools, and communicate insights effectively to diverse audiences.

As a Data Scientist, Level 3, you'll leverage Python to automate workflows, perform data manipulation, and create visualizations, applying advanced analytics to complex datasets and communicating insights to varied audiences.

The Data Scientist will develop dashboards and reports, collaborate with teams to integrate data, support performance tracking, and drive strategic planning.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The Data Scientist Intern will analyze data, build models, collaborate with teams, and help drive data-informed decisions at Granite.

This role involves delivering data science and AI solutions, developing educational programs, building AI products, and maintaining a data platform for research and industry partners.

The role involves partnering with marketing teams, managing data science projects, establishing metrics, and driving data-driven culture and insights. Requires expertise in statistics, programming, and business intelligence tools.

As a Data Scientist, you will collaborate with scientists to develop algorithms and software solutions for data analysis and machine learning, while engaging in multidisciplinary teamwork to meet project objectives.

As a Staff Data Scientist, you'll analyze complex datasets, develop forecasting models, collaborate cross-functionally, and present insights to stakeholders to drive growth strategies for user acquisition and retention.

The Data Scientist will analyze data, build predictive models, and collaborate with teams to deploy data products, driving business outcomes.

Lead advanced analytical initiatives to optimize pharmaceutical distribution processes using data science methodologies. Design predictive models, analyze data, and present strategic insights to senior leadership.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

The Data Scientist I will develop data-driven solutions using machine learning and analytics, consult with customers, and implement geospatial techniques while also producing compelling visualizations.

The Staff Data Scientist will own end-to-end data science work, develop ML models, collaborate cross-functionally, and innovate methods to enhance healthcare payment solutions.

As a Senior Data Scientist, you will develop models for fraud prevention, collaborate with engineers, and analyze data to enhance client services.