Director, Data Science [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Data Science in the United States.

This leadership role sits at the intersection of data science, product strategy, and machine learning innovation, driving measurable impact across core product surfaces and business outcomes. You will lead and grow a high-performing team of data scientists while shaping the vision and execution of data-driven initiatives across search, product intelligence, and revenue optimization. The role combines hands-on technical depth with strategic leadership, requiring close collaboration with engineering, product, and executive stakeholders. You will guide experimentation frameworks, statistical modeling efforts, and applied ML systems that influence key product decisions. A strong focus is placed on privacy-first analytics and building scalable insights in constrained data environments. This position is ideal for a leader who thrives in high-ownership, mission-driven environments and enjoys elevating both people and technical systems.

Accountabilities:

• Lead, mentor, and develop a team of experienced data scientists, setting clear expectations, providing actionable feedback, and enabling high-impact delivery.
• Oversee multiple concurrent data science initiatives spanning statistical modeling, experimentation design, and ML/NLP systems applied across core product areas.
• Partner with cross-functional teams to design, validate, and interpret experiments that inform product strategy and business decisions.
• Drive definition, monitoring, and improvement of key business metrics such as usage, acquisition, engagement, and revenue performance.
• Guide the evolution of data pipelines and analytical infrastructure to support scalable, privacy-conscious decision-making.
• Translate complex technical findings into clear, actionable insights for executive and cross-functional stakeholders.
• Foster an evidence-driven culture that prioritizes rigor, transparency, and high-quality decision-making.

Requirements:

• 10+ years of experience in data science, machine learning, or related fields, including 4+ years in a leadership or management role.
• Proven experience building and scaling multi-team roadmaps and adapting priorities in fast-moving environments.
• Strong ability to coach senior-level data scientists and elevate team performance through direct, constructive feedback.
• Expert-level proficiency in Python (or equivalent), with experience building and deploying ML/NLP systems in production.
• Advanced SQL skills with experience optimizing queries and working with large-scale columnar databases (e.g., BigQuery, Redshift, ClickHouse, Druid).
• Deep understanding of experimentation design, statistical modeling, and causal inference in product environments.
• Strong experience working with LLMs and AI systems, including evaluation methods (e.g., LLM-as-judge), fine-tuning, and applied AI experimentation.
• Ability to communicate technical tradeoffs clearly to executive and cross-functional audiences.
• Experience in consumer-facing technology environments where data is central to product strategy is highly preferred.
• Strong ownership mindset, with the ability to stay close to technical execution when needed.

Benefits:

• Competitive annual compensation of $243,800 USD , plus stock options with transparent leveling across the organization.
• Remote-first work environment with flexible scheduling and no core hours.
• Company-sponsored health benefits for eligible team members based in the United States.
• Paid parental leave and wellbeing-focused support programs.
• Home office setup support and co-working allowances.
• Opportunities for in-person collaboration through annual all-hands and team retreats (typically 4–5 days, twice per year).
• Strong culture of autonomy, ownership, and end-to-end responsibility for meaningful projects.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.