Senior Data Scientist

Valence · Remote · Remote / International ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior Data Scientist
  • Hybrid (Toronto/NYC)
  • SQL + Python
  • AI Coaching Platform
  • Equity Included

Join Valence, an AI-native coaching platform for enterprise leaders, to shape how data informs decisions across product, customer, and go-to-market teams. You will collaborate with Product, Engineering, and Sales to build a scalable, insight-driven data culture while working with Fortune 500 clients.

This position requires analyzing platform usage, identifying friction points, and supporting A/B testing to evaluate AI model performance. You will also develop self-serve dashboards and translate complex data into clear stories for diverse stakeholders.

What you'll do

  • Analyze platform usage and feature engagement to surface actionable insights
  • Identify friction points and opportunities across key user journeys
  • Support rigorous A/B testing and evaluate AI model performance
  • Develop self-serve dashboards and recurring reporting frameworks
  • Translate complex data into clear stories for technical and non-technical audiences
  • Collaborate with Product and Engineering to define tracking requirements
  • Recommend improvements to data processes for quality and efficiency

What you'll need

  • 5+ years of experience in data analytics, ideally in B2B SaaS or AI startups
  • Bachelor’s degree in Data Science, Statistics, CS, Economics, or related field
  • High proficiency in SQL and complex query writing
  • Hands-on experience with Python (Pandas, NumPy) or R for analysis
  • Familiarity with BI tools like Tableau, Looker, or Power BI
  • Ability to break down complex business problems into structured analyses
  • Strong communication skills for technical and non-technical stakeholders

Nice to have

  • Experience in fast-paced, early-stage startups
  • Familiarity with AI/ML concepts
  • Understanding of SaaS metrics and enterprise customers
  • Experience with product analytics platforms like Mixpanel or Amplitude
  • Knowledge of cloud environments such as AWS or GCP

Stack

  • SQL
  • Python
  • Pandas
  • NumPy
  • Tableau
  • Looker
  • Power BI
  • AWS
  • GCP

How you'll work

  • Hybrid: 3 days/week in office (Tue-Thu)
  • Locations: Toronto or NYC
  • Must work with colleagues in UK time zone
  • Valid travel documents required without work restrictions

What you get

  • Competitive salary with base and bonuses
  • Comprehensive health coverage from day one
  • Generous PTO and company-wide shutdowns
  • Paid parental leave
  • Retirement plan support for US and global employees
  • Meaningful equity in a venture-backed company

Hiring process

  • Third-party verification of employment and education
  • Identity and LinkedIn profile checks
  • Reference checks required before offer