Senior Data Scientist

Valence

1d • Hybrid

About The Position

Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. In this role you’ll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You’ll uncover user behavior patterns, operational performance insights, and commercial opportunities — all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we’re making the smartest possible decisions from day one. Valence is pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.

Requirements

• 5+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment.
• At least a Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Highly proficient in SQL and comfortable writing complex queries and working with diverse database structures.
• Hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization.
• Familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms.
• Familiar with using Excel or Google Sheets for ad hoc analysis and data exploration.
• Know how to break down complex business problems into structured analyses.
• Skilled at identifying trends, patterns, and outliers in data to uncover key insights.
• Can clearly communicate findings—both in writing and verbally—to technical and non-technical stakeholders alike.

Nice To Haves

• Experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts.
• Worked in a fast-paced, early-stage startup.
• Familiarity with AI/ML concepts.
• Understand SaaS metrics and enterprise customers.

Responsibilities

• Analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights.
• Identify friction points and areas of opportunity across key user journeys.
• Support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes.
• Develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams.
• Translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making.
• Collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection.
• Identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior