Senior Data Scientist - Customer Success

What you'll do

• Define customer-success KPIs and provide evidence-based recommendations, including clear decisions on whether to launch or iterate.
• Design and own experiments, causal analyses, predictive models, and customer segmentation through their business-impact lifecycle.
• Build automated self-serve analytics and partner across teams to communicate insights and integrate AI solutions into business processes.

What they ask for

• 4+ years of experience in product, web, customer care, or other customer experience analytics.
• Advanced proficiency in SQL, big data technologies, and BI tools.
• Expertise in experimentation design and causal inference, including small-sample or non-randomized populations.
• Bachelor’s degree in a quantitative field; Master's Degree preferred.

Nice to have

• Strong programming skills in Python or R; experience building ML and GenAI models.
• Experience evaluating AI-native or non-deterministic systems.

Pay

Mountain View $162,500 - $220,000 (base salary)

Tools

SQL, Redshift, Spark, Hive, BigQuery, Tableau, Qlik, Plotly Dash

AI focus

Collaborate with AI teams to integrate AI solutions into business processes, assess use cases by business value, and automate recurring analytical bottlenecks into agentic systems; preferred experience includes ML and GenAI models and evaluating AI-native systems.