Data Scientist
Bain Capital
Data Scientist
Bain Capital
Manages private equity, venture, credit globally
Bain Capital Ventures is a partnership within Bain Capital, one of the world's largest private investment firms with $215B under management. BCV invests in outlier founders across stages and has helped launch and grow over 400 companies across 20+ years, including Cognition, Crusoe, Pylon, Decagon, Docusign, LinkedIn, Rapid7, and Redis.
This role sits alongside BCV's investing team and will own the data layer that powers our investing AI engine – you’ll work closely with investors to build pipelines, signals and automations to identify investment opportunities. This is a hybrid builder role for someone with a T shaped skillset – an expert in data science but capable across the full stack (product, engineering and AI). It's high-ownership with plenty of variety: you'll architect pipelines one week and shadow a live deal the next.
Build and own end-to-end data pipelines and infrastructure that ingest, clean, and unify internal and third-party sources into reliable, queryable systems for the investment team, that can be effectively integrated into downstream AI systems
Design and deploy workflow automations that streamline sourcing, diligence, and portfolio monitoring
Build internal tools and dashboards that scale across the firm for data-driven diligence and proactive investing
Collaborate effectively with internal stakeholders across the investing team, platform team, and broader Bain Capital
4+ years in data engineering, data science, solutions architecture, or forward-deployed engineering
AI-native: you rely on tools like Claude Code, Cursor, etc. every day to multiply your productivity while keeping yourself accountable for a high quality bar. You keep yourself up-to-date on the latest coding technology and regularly uplevel your AI workflows
Advanced Python and SQL; strong command of building production data pipelines and working with large, messy datasets
Experience with data visualization and workflow automation tooling
Experience with Snowflake, DBT, and Fivetran (or similar tools)
Strong collaboration and communication skills; bonus points for experience building for non-technical stakeholders
Exposure to venture capital, private equity, or financial services, and a working understanding of investment and valuation principles
Experience deploying LLM/AI-powered tools or automation into real workflows
Experience with data-driven investing and/or investment model development
Experience with advanced machine learning techniques and/or statistical modeling
This is a hybrid role based in BCV's San Francisco office (near Jackson Square). Case-by-case exceptions for the NYC office may be considered, depending on prior experience. In both SF and NYC, there is an in-office expectation averaging 3+ days per week.
The base salary range for this role is $180,000-$250,000 dependent on experience. In addition, this role is eligible for BCV's annual bonus program; firm benefits spanning healthcare, travel, 401(k), and more; and profit-sharing plan.
Please visit baincapitalventures.com to get to know our team and learn more about our portfolio companies. You can also follow us on X and LinkedIn.
Manages private equity, venture, credit globally
Bain Capital is a private investment firm that manages multiple asset classes including private equity, venture capital, public equity, credit, and real estate. It works by making long-term investments in companies across a wide range of industries and geographies, and then actively partnering with the management teams of portfolio companies to drive growth and improve operations over time. The firm uses a long-term investment horizon and an active-ownership approach to build value for its investors. What sets Bain Capital apart is its multi-asset scale and global presence, combined with hands-on collaboration with portfolio companies and a strong emphasis on social responsibility through charitable initiatives. The goal is to deliver sustained, long-term value for investors and partners while contributing to communities through its charitable programs.
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