Data Scientist
Valence
What You'll Do
- Product & Customer Analytics
- You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights.
- You’ll identify friction points and areas of opportunity across key user journeys.
- You’ll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes.
- Reporting & Visualization
- You’ll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams.
- You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making.
- Data Infrastructure & Collaboration
- You’ll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection.
- You’ll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization.
What We’re Looking For
- You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment.
- You hold at least a Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures.
- You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization.
- You’re familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms.
- You’re familiar with using Excel or Google Sheets for ad hoc analysis and data exploration.
- You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts.
- You know how to break down complex business problems into structured analyses.
- You are skilled at identifying trends, patterns, and outliers in data to uncover key insights.
- You can clearly communicate findings—both in writing and verbally—to technical and non-technical stakeholders alike.
- Nice to have: You’ve worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers.
What you'll get
- Ownership & Rapid Growth
- Outsized missions from day one, with direct responsibility for company-defining projects
- Work alongside the executive team with transparency into strategy and decision-making
- Influence on direction through real-time customer feedback and market insights
- AI-First Operator
- Work directly with cutting-edge AI models and next-generation platforms
- Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
- Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale
- Compensation
- Competitive salary including base + bonuses
- Comprehensive health coverage (medical, dental, vision) from day one
- Generous PTO, company-wide R&R shutdowns, and paid parental leave
- Retirement plan support for US and global employees
- Equity
- Meaningful ownership in a venture-backed company at a growth inflection point
- Financial upside that comes from scaling fast
- Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact
- Top-Performing Culture
- A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together
