Data Scientist

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