Senior Data Scientist

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.

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, 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.

We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.

Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.

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.

You have 5+ 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.

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

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

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

A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together

here

We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at [email protected].

We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.

Valence takes candidate fraud seriously. We verify identity, LinkedIn profiles, employment history, and references; any misrepresentation during the hiring process is grounds for withdrawing an offer or ending employment. All offers are contingent on successful completion of these checks.

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