Description A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.
Primary Responsibilities:- Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.
- Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.
- Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.
- Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.
- Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.
- Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.
- Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.
- Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.
- Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.
Requirements Qualifications:- Bachelor's degree in a quantitative or related field and 8+ years of relevant experience.
- Proven hands-on SQL, Python, and Databricks skills.
- Data science experience within a marketing context, including:
- Attribution modeling
- Audience segmentation, targeting, and measurement
- Campaign lift analysis
- Predictive modeling
- KPI forecasting and scenario planning
- Funnel conversion analysis
- Geographic performance and market opportunity analysis
- Marketing experimentation frameworks
- Hybrid work schedule based in Fort Lee, NJ (2 days onsite / 3 remote).
- Strong leadership skills and track record as a people manager.
- Excellent business and analytical acumen, with ability to analyze and present relevant information to non-technical and executive audiences.
- Deep experience with statistical modeling, machine learning, and advanced analytics methods.
- Proactive, results-driven approach, and proven track record of execution.
- Exceptional verbal and written communication skills, with structured problem-solving ability.
Preferred Qualifications:- Master's degree in a quantitative discipline (e.g., Data Science, Statistics).
- Experience in direct-to-consumer, financial services, or insurance sectors.
Compensation and Benefits:- Base salary compensation starting at $200,000 per year and above.
- Eligible for the annual bonus program.
- Comprehensive benefits package, including:
- Health and Welfare Benefits: Medical, dental, vision, health savings account, flexible spending accounts, accident/critical illness coverage, life insurance, AD& D, legal, identity theft protection, employee assistance program, wellbeing resources.
- Paid Holidays and Time Off: Short-term/long-term disability, paid parental and adoption leave, jury duty, military, and bereavement leave.
- Retirement Benefits: Savings plan with annual company contribution.
Team Information:The data science and analytics team is a diverse group of practitioners who collaboratively support all product categories and cross-functional stakeholders across finance, marketing, sales, compliance, and account management. The team delivers solutions across the sales funnel, from lead scoring to strategic business analysis.
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