Senior Data Scientist

About the role

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.

What You'll Do

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 help 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.

What We’re Looking For

• 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.
• 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.
• Familiarity with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts.
• Ability to break down complex business problems into structured analyses.
• Skilled at identifying trends, patterns, and outliers in data to uncover key insights.
• Strong communication skills to clearly convey findings—both in writing and verbally—to technical and non-technical stakeholders alike.

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

What You'll Get

• Ownership & Rapid Growth: Outsized mission 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 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 you deliver exceptional performance — your compensation grows alongside your impact.