Top Data Science Jobs

As a Senior Data Scientist, you will analyze complex datasets, develop predictive models, and lead a team to provide insights that inform client decisions.

The Senior Data Scientist will lead the development of personalization algorithms, collaborate cross-functionally, build data pipelines, and optimize machine learning models.

Perform data exploration, cleaning, analysis, and visualization; develop algorithms and predictive models using R/Python/SQL and NoSQL; analyze structured and unstructured data; apply text mining, ML, and AI techniques; work with clients to deliver actionable insights. Top Secret clearance required.

As a Data Scientist, you will analyze complex datasets, develop algorithms, and provide insights to clients across various sectors. You will lead projects and mentor your team, focusing on machine learning and IoT solutions to tackle real-world challenges.

As a data scientist, you'll analyze data, develop algorithms, and provide solutions to clients using machine learning and data analysis techniques.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

As a Data Scientist, you will design statistical analyses on complex datasets, lead projects, mentor juniors, and provide actionable insights to clients, primarily working with the Department of Defense.

Embed with Product and Engineering to define success metrics, design measurement and experimentation frameworks, instrument and monitor launches, translate model-driven signals into decisions, and build repeatable decision loops to convert analysis into shipped changes.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

As a Senior Quantitative Data Scientist, you will ensure data quality, apply analytical methods for evidence generation, and collaborate with cross-functional teams to meet data strategy and analytic priorities.

The Data Scientist supports AI-driven initiatives, conducts analytics, builds machine learning algorithms, and develops technical reports. They work with large datasets to drive business improvements and enhance patient lifetime value.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

Data Scientist needed to analyze customer interactions, optimize product analytics infrastructure, ensure data quality, and generate insights using classical and LLM methods.

The Data Scientist Level 3 role involves analyzing large datasets, developing models, and communicating findings to non-technical audiences, requiring significant experience in data science and related fields.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Data Scientist will analyze marketing data, develop AI insights, enhance AI capabilities, and collaborate with teams to build data-driven products.

The Data Scientist will design experimentation frameworks, analyze ad performance, build data pipelines, and develop data science models to influence marketing strategies.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

The Data Scientist will analyze large datasets using statistical software to identify insights and present findings to stakeholders, manage projects, and apply machine learning techniques.

Lead data scientist role focused on developing data-driven product strategies, analyzing complex datasets, and deploying machine learning models to enhance user experience on the GeminiApp team.

The Data Scientist will utilize advanced statistics, data analytics, and machine learning to address cybersecurity challenges, collaborating with government and industry clients, conducting research, and presenting findings.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Staff Data Scientist will leverage data-driven insights to optimize customer engagement and retention through machine learning and analytics, communicate findings, and collaborate with cross-functional teams.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.