Lead Data Scientist - NYC - Hybrid - Freewheel

Data Science AdvisorIn this role you guide advanced data science to solve complex business problems, drive strategic actions, and mentor teams. You'll steer data analysis projects, build predictive models, and act as an expert advisor to shape data driven improvements. You collaborate across product and service teams to define analytics needs and apply ML and statistics to large datasets, delivering actionable insights and strategic impact.ResponsibilitiesLead cross functional collaboration with product and service teams to define data analysis and experimental needsDesign and implement software, algorithms, and automated data integration/cleansing processes from diverse sourcesApply statistical methods and machine learning to analyze large datasets and extract actionable business insightsDevelop statistical and mathematical solutions to address complex business problems and inform initiativesCreate data mining architectures and statistical reporting to identify trends in large datasetsOversee analysis of customer behavior and product performance using historical data for predictive modelingConduct predictive analytics to forecast customer behavior and support data driven decisionsResearch and apply emerging data science principles to enhance business outcomes as an organizational advisorExercise independent judgment in significant mattersRegular and punctual attendance; ability to work flexible hours as neededUnderstand Operating Principles and contribute to customer-centric goalsFoster teamwork, inclusion, and a culture of continuous learningSupport the Net Promoter System by incorporating feedback to improve customer outcomesDrive results and growth; uphold ethical standards and community responsibilityKey requirements10+ years of relevant work experienceMaster's Degree (preferred) or equivalent combination of coursework and professional experienceProficiency in actionable insights, data science, ML, predictive modeling, statistical models, and statisticsCollaboration and teamworkAbility to mentor and leadStrong communication and advisory capabilitiesData scienceMachine Learning (ML)Predictive Modeling