Top Data Science Jobs

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

Lead data science efforts by providing insights to executives, leveraging AI, and building data products while mentoring juniors.

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

The Staff Data Scientist will drive business strategy through predictive insights, collaborate across teams, and develop solutions to enhance products and reduce losses.

The Data Scientist will analyze large datasets, develop predictive models, and collaborate with cross-functional teams, utilizing AI and machine learning techniques.

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

The Senior Product Data Scientist will leverage data to optimize the customer experience, evaluate new features, and provide product recommendations through analytics and experimentation.

The Geospatial Data Scientist will create optimal data architectures and integrate algorithms to support GEOINT operations and analysis for intelligence requirements.

As a Summer Intern, you'll develop predictive models, analyze data, clean data, and communicate findings while gaining professional experience in the telecommunications industry.

The Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.

As a Staff Data Scientist, you will lead product analytics, define measurement strategies, drive cross-team initiatives, and mentor junior data scientists to enhance mental healthcare outcomes.

As a Staff Data Scientist for Marketing Analytics, you will lead marketing performance analysis, develop measurement frameworks, and influence strategic decisions to drive patient growth.

The Data Scientist will focus on data cleaning, dashboard development, and applying AI/ML models for unstructured data analysis. They will also conduct routine data quality checks and ensure data visualization.

The Data Scientist will develop predictive models, conduct exploratory analysis, collaborate with teams, build data pipelines, and create visualizations to drive decision-making.

As a Data Scientist, you will build models using machine learning and NLP, collaborate with teams, and apply analytics to HR strategies.

As a Senior Associate Data Scientist, you'll leverage machine learning and AI to deliver insights from large data sets, collaborating with cross-functional teams. Responsibilities include model development, data analysis, and translating complex data into business goals.

Contribute to product and growth by designing experiments, building predictive models and data pipelines, measuring product engagement, and presenting results to leadership. Collaborate cross-functionally to define metrics, deploy ML solutions, and improve data science practices.

The Data Scientist develops machine learning models for credit risk and operations, collaborating across teams to enhance decision-making and profitability.

The Senior Data Scientist will analyze complex economic data, manage research projects, collaborate with cross-functional teams, and implement data-driven strategies to support economic policy and business outcomes.

The AI Data Scientist will transform complex datasets into insights, collaborate with engineers on data quality, and use ML techniques to inform business decisions.

The Data Scientist role involves developing analytic solutions, leading client engagements, designing predictive models, and delivering insights across industries served by TransUnion, particularly in financial services.

The Data Scientist will research and prototype machine learning algorithms, collaborate with engineers for scalable models, process large datasets, and contribute to ad tech solutions.

The Data Scientist will analyze large genomic datasets, develop statistical methods and machine learning models, and collaborate with cross-functional teams to drive innovation in early cancer detection.