Senior Data Scientist

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 partner with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology to redefine how organizations operate with AI.

About Valence

We're the only company 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 through AI-powered personalization that adapts to individual goals and organizational culture. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes, and Inc. 5000. Our clients include Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS, and Bristol Myers Squibb.

Working at Valence means collaborating directly with Fortune 500 technology leaders on complex enterprise AI deployments across diverse industries.

Responsibilities

• Product & Customer Analytics
  • 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 assess the impact of new features on user experience and outcomes.
• Reporting & Visualization
  • 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.
• Data Infrastructure & Collaboration
  • 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.

Requirements

• 5+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment.
• 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.
• Familiarity with BI tools such as Tableau, Looker, Power BI, or equivalent platforms.
• Experience using Excel or Google Sheets for ad hoc analysis and data exploration.
• Ability to break down complex business problems into structured analyses and identify trends, patterns, and outliers in data.
• Strong communication skills to clearly convey findings to technical and non-technical stakeholders.

Nice to have: Experience in a fast-paced, early-stage startup; familiarity with AI/ML concepts; understanding of SaaS metrics and enterprise customers.

Benefits

• 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 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 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.
  • Meaningful equity ownership in a venture-backed company at a growth inflection point.
  • Top-up grants as the company scales and you deliver exceptional performance.
• 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.

Schedule

This role requires a minimum of 3 days a week (Tuesday–Thursday) in the office in Toronto or NYC, depending on your residency. Candidates must be comfortable working with colleagues in different time zones (UK) and have valid travel documents without work authorization restrictions.