Staff Data Scientist - Andela : Job Details

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We are looking for a Staff Data Scientist to join our team building a world-class technology marketplace platform for engineering talent and delivering cutting-edge Generative AI (GenAI) managed solutions for enterprise clients. In this role, you will leverage deep statistical expertise, advanced modeling techniques, and rigorous research methods to design, evaluate, and optimize data-driven products. Your work will directly shape our talent-matching algorithms, enhance client–talent engagement strategies, and drive innovation in AI-powered services that fuel our strategic growth.Exceptional Leadership:As an Andelan, you don't need to be a people manager to be a leader, and 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 put the company and mission first above yourself and team alone.
• 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 do this by proactively collaborating with your team while actively engaging in important 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:

• Lead the design, development, and continuous improvement of advanced statistical, machine learning, and generative AI models, with a primary focus on talent marketplace matching, recommendation systems, and predictive analytics.
• Conduct research-driven initiatives to improve the scalability, interpretability, and real-world performance of AI models, ensuring measurable impact for enterprise customers.
• Build robust experimentation frameworks—including A/B testing, causal inference, and advanced statistical validation—to guide algorithmic and product decisions.
• Partner with engineering teams to ensure that models are deployed efficiently, monitored effectively, and optimized for performance in production environments.
• Collaborate closely with product managers, AI specialists, and client-facing teams to align data science initiatives with customer needs and business goals.
• Stay ahead of emerging trends in AI, GenAI, and marketplace technologies, proactively recommending innovations and best practices.
• Contribute thought leadership by publishing research, presenting at conferences, and mentoring peers to foster a culture of technical excellence.

Qualifications

• Ph.D. in a STEM discipline (Mathematics, Computer Science, Statistics, Physics, Engineering) with a significant research component.
• Strong expertise in mathematical modeling, optimization algorithms, and statistical analysis.
• Proven track record in designing, validating, and deploying machine learning and Generative AI models, ideally within marketplace or recommendation system contexts.
• Proficiency in industry-standard data science tools and frameworks (Python, TensorFlow, PyTorch, SQL) and familiarity with cloud-based data platforms.
• Ability to distill complex analytical findings into actionable insights for technical and non-technical stakeholders.
• Excellent communication and collaboration skills, with experience influencing cross-functional teams.
• Demonstrated thought leadership through publications, patents, or conference presentations is highly desirable.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesIT Services and IT Consulting

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