Turn / River Capital is a private equity firm that applies a proprietary growth engineering strategy to investing, partnering with software businesses to accelerate growth and build enduring value. The firm's team of equal parts investors and operators provides hands-on operational support and the flexible capital to systematically scale marketing, sales and customer success at its portfolio companies. Founded in 2012 and based in San Francisco, Turn / River has $5.6bn in committed capital and invests globally with a focus on North America and Europe.
About the Role
Turn / River is seeking a Data Scientist to bridge the gap between financial data and strategic decision-making. This role will drive the development of financial dashboards, data models, and analytical frameworks that empower the Turn / River operations team and executive teams at the portfolio companies with actionable insights.
Key responsibilities include :
- Data & Reporting : Own the financial data and reporting infrastructure for a set of portfolio companies to enable us to gauge business health and identify opportunities / risks.
- Analysis & Modeling : Collaborate custom reporting, analysis and predictive models with our Head of Portfolio Company Finance to understand business financial opportunities / risks.
- IP Development : Work with the Operations team to build new intellectual property to support future investments.
- Portfolio Analysis : Conduct portfolio-level analysis for cost benchmarking, reporting to identify rationalization opportunities.
This is a highly collaborative role within Turn / River, where you will be working closely with other operations leads across GTM, R&D, RevOps, FP&A, and Accounting to ensure strong cohesion. This role will also partner with the Investment team to execute due diligence on potential investments / acquisitions.
Qualifications
- 3+ years of experience in a data analyst, data scientist, or another analytical role
- Strong proficiency in SQL and Python
- 2+ years of experience building and maintaining Tableau dashboards
- Experience with ETL tools
- Experience with Git
- B.A / B.S in a quantitative field such as mathematics, statistics, engineering, or business analytics
- Very data-driven, analytical, intellectually curious, and numerically inclined
- Strong project management, organizational, process management, and communication skills
- Experience conducting interviews or engaging with stakeholders to gather business insights and translate them into structured data inputs and analytical frameworks
- Experience with Google Cloud products preferred
Location
- San Francisco, hybrid work model
Compensation
- The annual base salary range for this role is $155,000 - 175,000 (plus annual bonus) taking into account numerous variable factors that are considered in making compensation decisions including but not limited to skill sets, experience, training, licensure, certifications, and organizational requirements.
This role is highly strategic and collaborative, offering the opportunity to shape how Turn / River leverages financial data to drive business performance. If you're passionate about financial data science and uncovering insights that fuel growth, we'd love to hear from you.
Benefits and Perks
The below benefits are offered to full-time employees based out of our San Francisco office :
- An opportunity to make an impact across multiple high-growth tech firms
- Competitive salary and discretionary bonus
- Medical, dental, and vision insurance
- Flexible vacation policy
- 401K
- Paid parental leave
- Donation matching
- Work from home Monday & Friday
- Energetic work environment with snacks and weekly team lunches, centrally located near multiple public transit lines
- A company that enjoys having fun : holiday parties, annual company offsite, annual summer work from anywhere month
Turn / River provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, natural hair styles, age (40 years and over), sexual orientation, veteran and / or military status, protected medical leaves (requesting or approved for leave under any applicable state, or federal leave act), domestic violence victim status, political affiliation, and any other characteristic or status protected by state or federal law.
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Data Scientist • San Francisco, CA, United States