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