Top Hybrid Data Science Jobs

Partner with Growth, Marketing, Sales, and Product to measure and optimize marketing and growth initiatives. Build dashboards and scalable measurement frameworks, design experiments, analyze ROI and trends, provide actionable recommendations, and communicate results to technical and non-technical stakeholders.

Lead GTM data science initiatives to build revenue forecasting, causal inference analyses, and AI-enabled solutions that improve sales, retention, and expansion. Partner with Product, Growth, and Commercial teams to operationalize insights, communicate findings to stakeholders, and mentor junior data scientists.

Lead GTM-focused data science initiatives: build revenue forecasts, apply causal inference, develop AI-enabled sales and retention solutions, partner with Product/Growth/Commercial teams, and translate analyses into scalable, automated workflows and executive-ready recommendations.

The Senior Manager, Data Science & Analytics will lead the analytics strategy for client engagement, focusing on data-driven insights and marketing performance to assist in customer acquisition efforts.

Lead CRM marketing analytics for Seller and Owner verticals: build segmentation and personalization models, map customer journeys, design targeted campaigns, define KPIs, analyze consumer data, integrate CRM with other systems, collaborate with engineering and marketing to optimize engagement and drive revenue.

As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management.

The Data Scientist will analyze data to develop machine learning models and analytical solutions for business problems in Corporate and Institutional Banking.

Perform data cleaning, preprocessing, integration, and quality assurance; create complex visualizations and dashboards (Tableau/Power BI); run routine data quality checks; and apply AI/ML models to analyze unstructured data to support mission-critical decision making.

This role involves leading data science projects, developing machine learning models, collaborating with stakeholders, and mentoring other data scientists.

The Senior Manager will lead data science initiatives in fraud detection, collaborating with data scientists and engineers to build machine learning models and mentor junior staff.

As a Data Scientist, you'll leverage data to drive corporate strategy by building machine learning models and collaborating with cross-functional teams.

Join PwC's Financial Crime Unit to analyze complex datasets using SQL and Python to detect AML/sanctions issues. Contribute to client engagements, explore ML, NLP and LLM approaches, build and deploy models, participate in research, and uphold professional and ethical standards while developing technical and commercial skills.

Lead and transform the Sales Analytics team by rebuilding a scalable sales data foundation, delivering advanced forecasting and causal analyses, enabling AI-driven self-serve analytics, and partnering with revenue, data engineering, and operations to drive strategic, revenue-focused insights. Recruit, mentor, and raise team analytical rigor while executing remediation of technical debt.