Sr Director, Data Science and Analytics

Accountabilities:

• • Own the data science and applied AI roadmap across operational and finance functions, developing solutions such as agentic systems, forecasting models, lead scoring, and decision-support tools that improve efficiency, reliability, and unit economics.
  • Lead, hire, mentor, and develop a data science and analytics team, establishing high standards for technical rigor, experimentation, evaluation, and production quality.
  • Identify high-impact business and operational challenges in partnership with operations, finance, and product leaders, translating ambiguous problems into well-defined analytical and AI initiatives.
  • Oversee finance analytics supporting accounting, FP&A, pricing, and broader financial decision-making.
  • Develop AI and agent-based workflows that move beyond prediction toward automated action, improving team productivity and operational outcomes.
  • Partner with data engineering, machine learning engineering, and platform teams to ensure appropriate infrastructure, data quality, orchestration, tooling, deployment processes, and governance are in place.
  • Drive analytics-led decision-making by applying advanced analysis and communicating actionable recommendations to executive stakeholders.
  • Champion an AI- and agent-first approach across the organization, combining hands-on technical leadership with the development of systems that accelerate team performance.
  • Establish scalable approaches to experimentation, model evaluation, AI deployment, and analytics delivery.
  • Continuously identify new high-ROI opportunities where data, machine learning, and AI can create measurable operational or financial value.

  Requirements:

  • 8+ years of experience in data science, applied AI, or machine learning, including 5+ years leading and growing technical teams.
  • Proven experience managing analytics teams and driving data-informed decisions across complex business functions.
  • Demonstrated success influencing operational decisions through machine learning systems, such as forecasting, lead scoring, or other predictive solutions.
  • Strong statistical and machine learning foundations combined with hands-on knowledge of modern AI technologies, including LLMs, agentic systems, orchestration, tool use, retrieval, and AI evaluation methodologies.
  • Strong analytics capabilities with a demonstrated ability to use deep analysis to guide business and operational decisions.
  • Advanced proficiency in SQL and Python, with familiarity with modern cloud data and AI ecosystems, including cloud warehouses, dbt, and LLM or AI deployment pipelines.
  • Experience translating ambiguous business challenges into practical, measurable technical initiatives.
  • Strong ability to communicate complex technical concepts and recommendations clearly to non-technical executives and senior stakeholders.
  • Demonstrated ability to lead cross-functional initiatives and collaborate effectively with engineering, product, finance, and operations teams.
  • Comfort working in a fast-paced, data-intensive environment where decisions have meaningful operational and financial consequences.
  • A strategic, innovative, and hands-on leadership style, with a willingness to remain close to technology while developing teams and organizational capabilities.
  • Experience in B2B SaaS, marketplaces, logistics, field operations, or similarly complex operational environments is a plus.

  Benefits:

  • Competitive base salary ranging from $319,600 to $479,400 USD for eligible candidates in CA, CT, DC, MD, MA, NJ, NY, VA, and WA.
  • Competitive base salary ranging from $298,700 to $448,100 USD for eligible candidates in other U.S. locations.
  • Annual bonus and equity opportunities as part of the total compensation package.
  • Flexible time off and support for autonomous working.
  • Comprehensive learning and development programs, including onboarding and leadership training.
  • Recognition programs, peer-nominated awards, and other opportunities to celebrate strong performance.
  • Company-paid medical, dental, and vision coverage, including options with 100% employer-paid employee premiums and substantial dependent coverage.
  • Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and a 401(k) match.
  • Telehealth services and access to One Medical memberships.
  • Parental leave and comprehensive family support programs.
  • Up to $20,000 in fertility, adoption, and surrogacy reimbursement.
  • Maternity support and breast milk shipping services.
  • Pet insurance, legal advisory services, financial planning tools, and additional lifestyle benefits.
  • A flexible, inclusive environment that encourages diverse perspectives, professional growth, and meaningful career development.