Senior Data Scientist - AI Tooling
Build and deploy AI-powered internal tools and data products for go-to-market teams, from rapid prototyping through production. The role requires applied data science experience, strong SQL and Python or R skills, LLM application expertise, and the ability to measure business impact.
About the job
Responsibilities
- Design, evaluate, and ship AI-powered internal tools for go-to-market use cases, including account research and summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization and follow-ups.
- Own the full lifecycle from problem definition and data modeling through production-ready tools, including Python backends and React frontends.
- Rapidly prototype with users, then productionize quickly to iterate and deliver impact.
- Define success through real usage and measurable business impact, such as improved win rate, conversion, or expansion.
- Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.
Requirements
- Proven track record of applied data science with measurable go-to-market impact, including shipped models or tools that improved conversion, cycle time, or retention.
- Experience applying LLMs and machine learning, including RAG, prompt and tool design, vector search, and evaluations.
- Experience leveraging AI for software development.
- Excellent SQL skills and fluency in Python or R.
- Experience applying analytical and statistical methods to business problems.
- Experience with orchestration tools such as dbt and Airflow for reliable data workflows.
- Strong communication and empathy, with the ability to explain complex data concepts to non-technical stakeholders.
- Collaborative product mindset and comfort working with Sales and Success teams to turn ambiguity into clear deliverables.
Benefits
- Competitive salary and equity.
- Lunch provided every weekday, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Open vacation policy and flexible holidays.
- Paid maternity leave and six weeks of paternity leave.
- MacBook or other equipment needed to perform the role.
- Hybrid working policy with employees expected in the office at least three days per week.
Skills
Python, React, SQL, R, RAG, Vector Search, Prompt Engineering, Machine Learning, Statistical Analysis, dbt, Airflow, Llm Evaluation
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