Top Data Science Jobs

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

The role involves leveraging AI and machine learning to develop advanced analytical methodologies, supporting intelligence programs, and collaborating with teams to automate analytic processes and improve tradecraft.

Build and deploy predictive models and analytics to optimize lending decisions, design A/B tests, create automated dashboards, support model implementation and monitoring, and deliver actionable insights to cross-functional teams and senior management.

As a Staff Data Scientist, you'll build data assets and analytics solutions, create machine learning models, and collaborate with stakeholders to drive business value.

The Data Scientist collaborates with leaders to develop predictive models, apply machine learning techniques, and provide insights for decision-making.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

The Data Scientist Intern will support analytics by applying machine learning techniques, developing predictive models, and translating data insights into actionable recommendations during the internship period.

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 Co-op, you'll support analytics and decision-making, develop predictive models, and collaborate on data-driven solutions while learning about machine learning applications.

The Data Scientist will automate data workflows, analyze datasets using big data frameworks, develop predictive models, and collaborate with other data professionals to deliver insights supporting national security objectives.

Entry-level data scientist supporting the full analytics lifecycle: data preparation, exploratory analysis, feature engineering, model development, validation, and deployment. Assist with adapting/fine-tuning foundation models and LLMs, use AI-augmented tooling, monitor model performance, and follow responsible AI and governance practices.

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.

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

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.