Lead Decision Science Analyst (testing and experimentation)
Core
Translates data into strategic insights to influence product, marketing, and business decisions through causal inference and experimentation.
Role type
Lead Decision Science Analyst (testing and experimentation)
Builds
Strategic insights, experiment designs, and data-driven recommendations for product and marketing teams.
Domain
Intelligent access technology (IoT, SaaS) and consumer products
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Causal inference, A/B testing, exploratory analytics, SQL, Python, Power BI/Tableau, statistical rigor, business acumen, data modeling
Preferred skills
Azure, Databricks, IoT/SaaS domain knowledge, Salesforce/SAP/CDP platforms, Project Management tools (Jira), financial analytics
Technologies
SQL, Python, Power BI, Tableau, Azure, Databricks, Salesforce, SAP, Tealium, Jira
Responsibilities
Design and analyze A/B tests and causal inference approaches; conduct deep exploratory and diagnostic analyses to identify growth levers; develop and monitor product/customer KPIs; translate technical results into clear recommendations for senior stakeholders; guide associate and senior analysts on analytics best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities
