Head of Data Science

TRANZACT•Fort Lee, NJ
•$200,000•Hybrid

About The Position

TRANZACT is seeking a hands-on data leader to shape the future of its data science organization. This role requires deep technical mastery, a passion for mentorship, and a vision for leveraging data to achieve bold business goals. The Head of Data Science will oversee advanced analytics projects impacting the entire sales funnel and all product categories, driving the delivery of ML models and advanced analytics such as predictive modeling, segmentation, lead scoring, and marketing optimizations. A key aspect of the role is to embed Data Science at the center of marketing and business decisions, requiring a strong understanding of data science marketing, team building, and driving best-in-class marketing outcomes. This is a strategic, not just a support, role, focused on identifying opportunities for marketing execution.

Requirements

  • Bachelor's degree in a quantitative or related field.
  • 8+ years of relevant experience.
  • Data Science experience within marketing, including: Attribution modeling, Audience segmentation, targeting and measurement, Campaign lift analysis, Predictive modeling, KPI forecasting and scenario planning, Funnel conversion analysis, Geo performance and market opportunity analysis, Marketing experimentation frameworks.
  • Hybrid work schedule in Fort Lee, NJ.
  • Strong leadership skills and successful outcomes as a people manager.
  • Excellent SQL, Python, and Databricks skills.
  • Intuitive business and analytical skills with the ability to collect, organize, analyze, and disseminate relevant information with attention to detail and accuracy to non-technical and senior leadership audiences.
  • Deep experience with successful statistical modeling, machine learning, and other advanced analytics methods.
  • Proactive, results-driven, and have a proven track record of execution.
  • Structured thinker with exceptional verbal and written communication skills.

Nice To Haves

  • Masters in a quantitative or related field (i.e., Data Science, Statistics, etc.).
  • Experience in a direct to consumer, financial service, or insurance sector(s).
  • Experience within clean rooms.

Responsibilities

  • Develop Data Science team’s project and roadmap in line with business objectives and strategic opportunities.
  • Lead and oversee a team of (5) data scientists and analysts to deliver best-in-class impactful models and analysis.
  • Collaborate daily with cross-functional teams to understand evolving business needs and develop effective analytics solutions and models.
  • Execute on a model strategy roadmap to continuously improve accuracy and functionality of models and business outcomes.
  • Drive data science initiatives to improve customer engagement and operational efficiency through personalization and effective targeting.
  • Deliver on varied projects such as customer audience segmentation, propensity models, and dynamic bidding algorithms.
  • Serve as an SME and key producer of forecasting model development, production, and execution, in partnership with Enterprise Data Management and Technology teams.
  • Prepare and deliver presentations summarizing key insights and conclusions, often to senior leaders.
  • Embrace and foster a curious growth and learning mindset for the entire team.
  • Support a collaborative, team-oriented, and client-focused organization motivated by business and technical challenges.

Benefits

  • Medical (including prescription coverage)
  • Dental
  • Vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Group Accident
  • Group Critical Illness
  • Life Insurance
  • AD&D
  • Group Legal
  • Identity Theft Protection
  • Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
  • Paid Holidays
  • Annual Paid Time Off (includes state/local paid leave where required)
  • Short-Term Disability
  • Long-Term Disability
  • Other Leaves (e.g. Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave)
  • Savings Plan with annual nonelective company contribution.
  • Annual bonus program.
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