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About the Role
As a Lead Data Scientist, you will be the technical expert responsible for setting technical direction and ensuring high-quality, scalable delivery of challenging, high-impact projects. This role combines deep machine learning expertise with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions, focusing on driving innovation, mentoring teams, and shaping technical standards and customer relationships.
Responsibilities
- Setting the technical direction for complex, business-critical projects, balancing speed, innovation, and reliability.
- Designing and implementing reliable, production-grade technical solutions with comprehensive documentation.
- Defining project problems, developing roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams.
- Leading technical scoping and feasibility studies for sales opportunities and customer engagements.
- Managing client relationships and communications, aligning technical solutions with commercial goals.
- Driving the adoption of best practices, shared resources, and robust technical processes.
- Mentoring and developing other data scientists and team members.
Requirements
- Depth of expertise in at least one machine learning domain and strong technical breadth across the data science landscape.
- Skilled technical leader proficient in mentoring individuals, managing teams, and rolling out impactful tools and workflows.
- Proven project management expertise, capable of dividing complex problems into actionable workstreams with defensible timelines.
- Adept at managing ill-defined, high-risk tasks, delivering innovative and practical outcomes under commercial pressure.
- Strong customer leadership skills, acting as a trusted technical advisor and driving long-term strategic relationships.
- Excellent cross-functional collaboration skills, aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams.
- Experience extending technical oversight to business unit-level initiatives.
Skills
- Machine Learning
- Data Science
- Technical Leadership
- Project Management
- Customer Relationship Management
- Cross-functional Collaboration
Location
- Remote
Work Type
- Full-time
- Part-time
Experience Level
- Lead
About the Company
- Faculty was established in 2014 with the belief that AI is the most important technology of our time.
- Faculty has worked with over 350 global customers to transform performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that delivers measurable impact.
- Faculty possesses unparalleled technical, product, and delivery expertise across government, finance, retail, energy, life sciences, and defense sectors.
- The Energy, Transition and Environment business unit pioneers change in the clean energy revolution, aiming to accelerate the transition to net-zero emissions and drive efficiencies for utility companies.
- Faculty believes in the responsible and intelligent deployment of AI for a smarter, cleaner, and more sustainable world.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Diverse teams deliver better work, relevant to the world.
- Faculty is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Applications are strongly encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Candidates who do not meet all requirements but are excited by the role and bring key strengths are encouraged to apply.
- Faculty is open to conversations about part-time hours.