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About the Role
As a Lead Data Scientist, you will be the technical expert responsible for setting the technical direction and ensuring the 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, driving innovation 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 relationships and communications with technical stakeholders to align solutions with commercial goals.
- Driving the adoption of best practices, shared resources, and robust technical processes across the Data Science craft.
- Mentoring and developing other data scientists and team members to contribute to organizational growth and technical excellence.
Requirements
- Proven project management expertise to divide complex problems into actionable workstreams with defensible timelines.
- Strong customer leadership skills to act as a trusted technical advisor and drive long-term strategic relationships.
- 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.
- Adept at managing ill-defined, high-risk tasks, delivering innovative and practical outcomes under commercial pressure.
- Excellent cross-functional collaboration skills, aligning technical strategy with Engineering, Commercial, and Infrastructure teams.
- Experience extending technical oversight to business unit-level initiatives and influencing organizational success.
Skills
- Machine Learning
- Data Science
- Project Management
- Customer Leadership
- Technical Leadership
- 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 would be 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 makes a significant impact.
- Faculty possesses unparalleled technical, product, and delivery expertise.
- Faculty serves clients across government, finance, retail, energy, life sciences, and defense.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement powerful AI applications.
- The Retail and Consumer team at Faculty is dedicated to helping clients in an industry transformed by new technologies and evolving consumer expectations.
- The Retail and Consumer team leverages over a decade of experience in Applied AI, combining technical and delivery expertise to help businesses adapt and thrive.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought and strengthens the principle of seeking truth.
- Diverse teams deliver better work, relevant to the world.
- The team 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.
- Conversations about part-time hours are welcome.