Director of Data Science

Join us and change the world.

This is a Remote Position and requires a Ph.D. or Master's in a STEM Discipline

We are seeking a Director of Data Science to lead and grow our data science function, driving innovation across our technology marketplace platform for engineering talent and our cutting-edge Generative AI (GenAI) managed solutions for enterprise clients. In this role, you will set the strategic vision for data science, guide the development of world-class marketplace matching algorithms, and ensure our AI capabilities deliver measurable business value. You will lead a high-performing team of data scientists, fostering a culture of experimentation, excellence, and impact.

Exceptional Leadership:

As a leader, you’ll serve as a role model for the rest of the company. Think about the feedback your peers typically give you – if it usually sounds like the below, we want to hear from you. 

• Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea. 
• One team mentality: You break silos across teams. You prioritize the company and mission above yourself and your team. 
• Great listener, hungry for feedback: You’re always seeking to improve – our product, our business, yourself. You solicit diverse opinions and deeply listen. 
• Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.
• Player-coach: You roll up your sleeves and get scrappy. You achieve this by proactively collaborating with your team and engaging in key details. 
• Business problem solver: You’re not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems. 

Key Responsibilities:

• Define and own the company’s data science strategy, aligning AI and analytics initiatives with business priorities and long-term growth objectives.
• Lead, mentor, and develop a team of data scientists, ensuring they have the tools, skills, and guidance needed to excel.
• Oversee the design, validation, and deployment of advanced statistical, machine learning, and generative AI models for marketplace matching, recommendation systems, and predictive analytics.
• Build a strong experimentation culture, embedding best practices in A/B testing, causal inference, and statistical validation across the team.
• Collaborate with engineering, product, and client-facing teams to ensure seamless integration of models into production environments and client solutions.
• Drive thought leadership, representing the company in industry forums, academic collaborations, and strategic partnerships.
• Monitor emerging trends in AI, GenAI, and marketplace technologies, proactively steering the team toward high-value innovations.
• Ensure data science initiatives are delivered on time, on budget, and with measurable business impact.
   

Qualifications

• Advanced degree (Ph.D. or Master’s) in a STEM discipline (Mathematics, Computer Science, Statistics, Physics, Engineering) with strong research credentials.
• Extensive experience leading data science teams in high-growth technology or AI-driven environments.
• Proven track record of delivering machine learning and generative AI solutions at scale, ideally in marketplace or recommendation system contexts.
• Strong expertise in statistical modeling, optimization algorithms, and applied machine learning.
• Executive-level communication skills, able to influence technical and non-technical stakeholders and guide strategic decision-making.
• Demonstrated ability to hire, grow, and retain top-tier data science talent.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Paid Time Off (Vacation, Sick & Public Holidays)