Director, Data Science - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, Data Science based in United States.

This role offers the opportunity to lead a high-impact data science organization responsible for building intelligent systems that enhance customer experiences, optimize operations, and drive business growth. The Director of Data Science will define the machine learning strategy, guide technical innovation, and translate advanced analytics into measurable outcomes. Working across consumer experiences, delivery intelligence, and advertising solutions, this leader will shape the future of large-scale ML applications. The role combines strategic leadership with hands-on technical involvement, allowing the successful candidate to influence architecture, mentor teams, and contribute directly to production systems. This position requires a strong balance of business understanding, technical expertise, and leadership ability within a fast-paced technology environment. The ideal candidate will thrive in an autonomous setting where experimentation, innovation, and impactful data-driven decisions are highly valued.

Accountabilities:

The Director of Data Science will lead the development and execution of machine learning strategies across multiple business areas, ensuring that data science initiatives deliver meaningful customer and operational value. This role will manage talented teams, establish technical standards, and collaborate with executives and cross-functional partners to drive innovation.

• Own the end-to-end data science roadmap, aligning machine learning priorities with business goals, measurable outcomes, and strategic initiatives.
• Provide technical leadership, mentorship, and guidance to Data Scientists and ML Engineers while promoting best practices in model development, evaluation, and deployment.
• Partner with senior leadership, Product, Engineering, and Business teams to integrate ML capabilities into product and operational strategies.
• Build a culture of experimentation by defining measurement frameworks, improving A/B testing practices, and connecting model performance to business impact.
• Lead the development of advanced consumer-facing ML solutions, including search ranking, query understanding, personalization, recommendations, and behavioral modeling.
• Drive delivery intelligence initiatives through predictive modeling for ETA optimization, demand forecasting, routing, fleet utilization, and operational efficiency.
• Develop and optimize advertising intelligence solutions, including ranking systems, relevance models, attribution pipelines, bid optimization, and audience targeting.
• Architect scalable machine learning platforms and collaborate with engineering teams to bring models into production environments.