Senior Manager, Data Science

Department: Portfolio Operations

Location: San Francisco, CA

Employment Type: FullTime

About Turn/River

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

We are seeking a Senior Data Scientist to join our Operations team. This role is crucial for empowering our portfolio companies through data and insights. Key responsibilities include:

• Data & Reporting: Own the data and reporting infrastructure for a set of portfolio companies, enabling us to gauge business health and identify opportunities/risks.

• Analysis & Modeling: Collaborate on ad-hoc analysis projects, custom reporting, and predictive models with Ops leads and functional leads to understand GTM opportunities/risks.

• IP Development: Work with the Operations team to build new intellectual property to support future investments.

• Portfolio Analysis: Conduct portfolio-level analysis on marketing, sales, and customer success data to identify trends, forecast sales, predict customer churn, and spot expansion opportunities based on product usage.

• AI Implementation: Proactively evaluate, recommend, and lead the implementation of AI-driven tools and solutions across the firm and portfolio companies, enhancing operational efficiency and strategic insights.

This is a highly collaborative role within Turn/River, where you will be working closely with other operations leads across marketing, sales, and customer success to ensure strong cohesion. This role will also partner with the Investment team to execute due diligence on potential investments/acquisitions.

Qualifications

• 5+ 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, intellectually curious, and numerically inclined

• Strong project management, organizational, process management, and communication skills

• Experience with Google Cloud products preferred

Location

• San Francisco, hybrid work model

Compensation

• Base salary range for this role is $227,500 - $237,500 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.

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 covered 100% for employee & dependents

• Flexible vacation policy

• 401K matching

• Paid parental leave

• Commuter benefits

• Health and Wellness benefits

• Household Services benefits

• Home Office benefits

• Annual Home Office Equipment Reimbursement

• Donation matching

• Work from home Monday & Friday

• Energetic work environment with snacks and weekly team lunches 3x per week, centrally located near multiple public transit lines

• A company that enjoys having fun: holiday parties, annual company offsite and retreat, 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.