Senior Data Scientist, AI-Driven Product Analytics

remote work; United States; Remote; USD 110,000 - 170,000; Part time

Job summary

Valence is seeking a data analytics leader to own analytics across the platform. You will surface insights from user behavior, measure feature impact, and guide data-informed decisions for product and GTM teams.

You will build self-serve dashboards, collaborate with Product and Engineering to define tracking, and communicate complex data to both technical and non-technical audiences. A strong SQL background and experience with BI tools are required.

Qualifications

• 5+ years in a data analytics role, ideally in B2B SaaS or AI focused startups.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics or related field.
• Proficient in SQL with experience across diverse database structures.
• Hands on Python or R for analysis and visualization (Pandas, NumPy, Matplotlib or Seaborn).
• Experience with BI tools like Tableau, Looker, Power BI or equivalent.
• Familiar with Excel or Google Sheets for ad hoc analysis; familiar with product analytics tools and cloud environments are a plus.

Responsibilities

• Analyze platform usage, feature engagement, and user interactions to surface actionable insights.
• Identify friction points and opportunities across key user journeys.
• Support A/B testing, evaluate AI model performance, and assess feature impact.
• Develop self serve dashboards and reporting frameworks for multiple teams.
• Translate complex data into clear stories for technical and non technical audiences.
• Collaborate with Product and Engineering to define tracking and data collection requirements.

Skills

SQL

Python or R

BI tools

Communication storytelling

Education

Bachelor’s degree in Data Science/Statistics/CS/Economics

Tools

Tableau

Looker

Power BI

Excel

Job description

Valence is seeking a data analytics leader to own analytics across the platform. You will surface insights from user behavior, measure feature impact, and guide data-informed decisions for product and GTM teams.

You will build self-serve dashboards, collaborate with Product and Engineering to define tracking, and communicate complex data to both technical and non-technical audiences. A strong SQL background and experience with BI tools are required.