Top Data Science Jobs

The Data Scientist at Snap Inc. applies quantitative analysis, data mining, and statistical modeling to deliver actionable insights, driving informed decision-making and optimizing product performance.

The role involves developing analytic solutions for credit risk management and business intelligence in the financial services sector, while mentoring juniors and collaborating with teams.

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.

As a Data Scientist/Technical Analyst, you will develop predictive models, evaluate technologies, provide digital support, and communicate with stakeholders.

The Data Scientist Intern will analyze large datasets, optimize processes, and develop models and algorithms to support decision-making within the organization.

As a Data Scientist I, you will support ML development, conduct analyses, partner with teams, and contribute to MLOps workflows for ad performance.

Lead analytical initiatives in pricing strategy through statistical models, A/B testing, and data-driven insights to improve business outcomes.

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.

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 Senior Marketing Data Scientist will drive data-driven decisions, develop marketing strategies, analyze performance, and collaborate with marketing teams to increase business growth through data analysis and experimentation.

As a Senior Staff Data Scientist, you'll leverage data analysis and ML models to support SoFi's Home Loans growth. This includes high-level technical leadership, mentoring, stakeholder communication, and building data pipelines.

As a Staff Data Scientist, you'll lead data-driven projects, mentor team members, develop ML models, and collaborate cross-functionally to drive business insights and improve the personal loans segment.

Manage end-to-end Direct Mail campaigns, collaborate with marketing teams, analyze campaign effectiveness, and drive data-driven marketing strategies.

As a Product Data Scientist, you'll analyze product data, conduct A/B testing, and help guide product strategies through insights and metrics tracking.

The Senior Product Data Scientist will leverage data science and analytics to inform product development through experimentation, causal inference, and predictive modeling, while collaborating across teams and effectively communicating insights.

As a Senior Product Data Scientist, you'll partner with teams to lead product-focused statistical analysis, experimentation, and actionable insights using advanced models while collaborating cross-functionally to enhance product decisions.

The role involves analyzing product opportunities through data analysis and A/B testing to inform product strategies and success metrics. It includes collaboration with cross-functional teams and ensuring the integrity of data pipelines.

Lead experimentation, A/B testing, and causal analyses; build predictive and attribution models; partner cross-functionally to inform product, growth, and personalization; develop dashboards and scalable data tools; measure and improve AI systems and drive data best practices.

The Geospatial Data Scientist will lead the design and implementation of data architectures and algorithms to support GEOINT operations and customer intelligence requirements.

The Geospatial Data Scientist will support GEOINT analysts in creating data architectures and integrating algorithms for intelligence requirements, with a strong emphasis on data science techniques and GEOINT operations.

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

The Geospatial Data Scientist will work with GEOINT analysts, develop data architectures, and integrate data science techniques to support intelligence operations.

The Data Scientist will analyze complex datasets, develop predictive models, create visualizations, and collaborate across teams to drive data-informed decisions.

As a Field Data Scientist at Braze, you'll collaborate with clients on data integration, develop ML models, and ensure successful product adoption while shaping the product strategy.