Director of Data Science at JCT Recruiting LLC

, , United States -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

0.0

Posted On

20 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Generative AI, Statistical Modeling, Optimization Algorithms, A/B Testing, Causal Inference, Team Leadership, Business Problem Solving, Communication Skills, Mentoring, Innovation, Collaboration, Experimentation, Strategic Vision, Technical Expertise

Industry

Logistics;Transportation;Supply Chain and Storage

Description

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

Responsibilities

Define and own the company’s data science strategy while leading a team of data scientists. Oversee the development and deployment of advanced models to drive business value and innovation.