Senior Data Scientist, Modeling

OverviewBabylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. We partner with hundreds of brands to engage families during one of life's most important transitions. With over $1 billion in annual GMV and substantial growth, Babylist is reshaping the $320 billion baby product industry.Babylist thrives as a remote-first company, with HQ team members located across the U.S. and Canada. We meet in person twice a year to strengthen relationships and drive results — from anywhere.The RoleSenior Data Scientist to own and evolve our most critical internal decision support models that drive strategic business decisions at the executive level. You will be the dedicated data science expert responsible for maintaining and iterating on core predictive models, while developing new modeling capabilities that scale with our growing organization. This is a high-visibility, business-critical role where your work directly supports financial projections and growth strategies. Initially you will be the sole dedicated data scientist, collaborating with business analysts, marketing teams, and cross-functional partners to translate complex technical concepts into actionable business insights. As our first dedicated modeling expert, you will set best practices, influence strategic decisions, and lay the foundation for expanding data science capabilities during an exciting growth period at Babylist.ResponsibilitiesOwn the paid conversion model, stabilizing and improving its accuracy and performance to better predict which signups become paying customersLead the deployment of LTV V1 into production, ensuring reliability and scalabilityEstablish and champion modeling best practices across the organizationBuild strong relationships with cross-functional stakeholders and demonstrate measurable business impactDevelop new modeling initiatives, including the evolution of the LTV model and other decision-support toolsDeliver actionable, data-driven insights and recommendations to leadershipScale modeling capabilities as the organization grows, including mentoring and developing future team membersPartner with leadership on ambitious growth projections and strategic planningLay the foundation for expanded data science capabilities across various business functionsQualifications5+ years of experience in data science or a related field, with a track record of developing and deploying models that drive business impactHands-on experience building and maintaining decision-support models (e.g., customer lifetime value, conversion prediction, retention forecasting) with influence on business decisionsAbility to distill complex technical concepts into simple, actionable insights for executives and non-technical stakeholdersStrong prioritization skills with clear communication of tradeoffs and value to leadershipExpertise in SQL with experience handling large-scale datasets and complex queriesProgramming proficiency in Python or R with background in statistical modeling and advanced analyticsExperience with orchestration and deployment tools like AirflowBackground in dynamic pricing and promotion modelingExperience developing decision-support models that inform internal strategy and operationsAptitude for identifying high-impact modeling opportunities, securing stakeholder buy-in, and delivering end-to-end solutionsCuriosity and willingness to contribute beyond modeling to the broader analytics landscapeAbility to work independently while maintaining strong cross-functional relationshipsWhat You Will Do to Make an ImpactOwn the paid conversion model, improving accuracy and performanceLead production deployment of LTV V1Champion modeling best practices across the organizationBuild relationships with cross-functional stakeholders and demonstrate measurable impactDevelop new modeling initiatives and evolve existing modelsDeliver data-driven insights and recommendations to leadershipScale modeling capabilities and mentor future team membersCollaborate with leadership on growth projections and strategic planningLay the foundation for expanded data science capabilities across functionsWhy You Will Love Working At BabylistWe invest in the infrastructure you need to succeed, including tools, collaboration opportunities, and a stipend for setting up your officeWe build products that positively impact millions of livesWe maintain a sustainable pace with real work-life balanceWe believe technology and data can solve hard problemsAI plays a meaningful role in how we work and scale—embedded in our tools, systems, and decision-makingWe value exceptional managementCompetitive pay with meaningful opportunities for advancementComprehensive benefits including company-paid medical, dental, and vision, generous parental leave, and 401(k) with matchPerks supporting wellbeing: physical, mental, and financial health, parenting, childcare, and financial planningCompensation and NoticesBabylist follows a market-based compensation approach. The starting salary range is $166,207.00 to $199,407.00, with pay determined by location, experience, and qualifications. Future adjustments consider role growth and performance. In addition to pay, Babylist offers equity, bonuses, and a comprehensive benefits package including health, dental, and vision insurance, 401(k) matching, flexible spending accounts, and paid leave.Important NoticesInterview Process & Data Use: Babylist uses AI to transcribe interviews. Transcripts are confidential and used for evaluation in compliance with data privacy laws. By applying, you acknowledge and consent to this use.Official Communication: All application communications come from @. We will never request payments or sensitive financial information. Verify opportunities on our careers page.SMS Consent: You may opt to receive text updates about your application. Opting out will not affect your status. Message rates may apply. See Privacy Policy for details.Note: This description is intended to convey information essential to understanding the scope of the role and is not an offer of employment or a guarantee of compensation. #J-18808-Ljbffr

Created: 2025-09-17