Data Scientist

Apply now: Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract position. Job Title: Data Scientist, Audience & Growth Location-Type: Hybrid - New York, NY Start Date: ASAP Duration: Contract - 6 months Compensation Range: $75-80/hr W2 Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description: The client is seeking a mid-level Data Scientist to serve as the organization's central data resource, building out a foundational customer model and enabling data-driven decision-making across Retail, Digital, and Marketing teams. Job Summary • Design and build a customer segmentation model that synthesizes behavioral, transactional, and demographic data across multiple customer and user datasets • Translate segmentation model outputs into actionable audience profiles and cohorts that can be operationalized by marketing and digital teams • Analyze patterns across the customer lifecycle, including awareness, acquisition, engagement, lapse, and reactivation, to surface audience and revenue growth opportunities • Partner with stakeholders across Retail, Digital, and Marketing to frame business questions and deliver data-driven recommendations on pricing, experience, and communication strategies • Design and implement an experimentation framework for testing marketing campaigns, digital experiences, and activation offers, including defining success metrics and ensuring statistical validity • Build dashboards and reports that make key metrics accessible to non-technical partners and leadership • Maintain and iterate on segmentation models and reporting as audience strategy evolves over time Minimum Requirements: • 3-5 years of experience in a data science role • Strong background in customer data, including demonstrated experience building segmentation models such as clustering and RFM analysis • Proficiency in Python or R, and SQL • Solid understanding of customer KPIs including LTV, churn, and retention, with hands-on experience applying them in a business context • Ability to communicate complex data findings clearly to non-technical stakeholders and leadership across multiple departments • Experience with A/B testing and experimental design, including sample sizing and statistical inference Preferred Qualifications: • Deep familiarity with customer data spanning retail, membership, or a recurring-funnel business model • Experience with BigQuery or Google Cloud Platform • Experience with dbt, Dataform, or similar data transformation tools • Experience with Looker or comparable BI tools • Experience with Git or similar source version control tools