> Markdown version of [/jobs/ext/2835354-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/2835354-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** FACULTY INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Programming, Python (Programming Language), NumPy, Software Architecture, Pytorch, Deep Learning, Pandas, Core Data - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/omkm72snfb ## About the Role * You possess senior experience in a professional data science position or a quantitative academic field. * You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). * You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. * You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture. * You exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework. * You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule. ## Description As a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What You'll Be Doing * Mapping the end-to-end data science approach and designing the associated software Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector. * Conceiving the core data science approach and designing the associated robust software architecture for new engagements. * Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects. * Partnering with commercial teams to build client relationships and shape project scope for technical feasibility. * Contributing to Faculty's thought leadership and reputation through delivering courses, public speaking, or open-source projects. * Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery., * Talent Team Screen (30 minutes) * Take Home Technical Test * Technical Interview (90 minutes) * Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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