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Head Data Science Jobs in New York (NOW HIRING)

As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide ...

Act as the primary point of escalation when the Head of is unavailable. * Directly manage the ... Support the Head of & Data Science & AI Delivery in leading and developing a growing team of Data ...

Gusto is looking for an experienced Senior Data Science Leader to empower our Sales Data team, the team that powers the insights, forecasting, and measurement infrastructure behind how we acquire ...

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the Head of Media Science. This role will primarily ...

SVP Marketing Data Science

Manhattan, NY · On-site

$163.60 - $245.40/hr

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the Head of Media Science. This role will primarily ...

The ideal candidate would have 8+ years of data science marketing experience, strong leadership skills, and proficiency with SQL, Python, and Databricks. Must be comfortable reporting to the C-suite ...

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Head Data Science information

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in New York?

The most popular types of Data Science jobs in New York are:

What cities in New York are hiring for Head Data Science jobs?

Cities in New York with the most Head Data Science job openings:

Infographic showing various Head Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Head of Data Science

Tranzact

Fort Lee, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


TRANZACT rating

6.4

Company rating: 6.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

282nd of 311 rated insurance


Job description

TRANZACT is a leading direct-to-consumer insurance services business, specializing in the distribution of Medicare Advantage, Medicare Supplement and Life & Supplemental insurance policies. Our focus is on leveraging our highly skilled team of over 3,000 professionals to deliver innovative solutions for our insurance carrier partners and provide consumers with a best-in-class experience.
We work with some of America's largest insurance brands to attract, educate and connect with consumers. Our diverse team of analysts, writers, engineers, designers, business leads, data scientists and sales professionals all work together to create thoughtful, data-driven and effective marketing, technology, sales and servicing strategies. These efforts have resulted in TRANZACT earning recognition and winning awards from some of the biggest names in the industry.
When you become part of TRANZACT, you join a team of passionate people who push for excellence, follow through on commitments, and love to succeed together. Our culture rests on a simple principle - "Be Real" - that means being genuine, keeping your word, and having the courage to make tough decisions. Our "Be Real" values resonate and are meaningful to us. We are entrepreneurial, fast paced and empower our people. We know how to make things happen and know that our people are always the source of our success.
Position Summary
TRANZACT is looking for a hands-on data leader who thrives at the intersection of high-impact analytics, people development, and strategic influence to help shape the future of our data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for what data can do when aligned with bold business goals.
As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide range of ML models and advanced analytics including predictive modeling, segmentation, lead scoring, marketing optimizations as well as crafting data stories and presentations of key findings to stakeholders.
Your primary role will be to put Data Science in the center of all our marketing and business decisions. To get there you need to have a deep understanding of data science marketing, what works, where to find leverage and how to build a team around driving best in class marketing outcomes. This is not a support role. While the marketing team may come to your team for help with certain analyses, your team's primary role is to find areas of opportunity for marketing to execute against.
The Responsibilities of the Head of Data Science include:
  • Help 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.
  • Day-to-day collaboration 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.
  • Be an SME and key producer of forecasting model development, production, and execution, in partnership with our 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 that's motivated by business and technical challenges.

Qualifications include:
  • Bachelor's degree in a quantitative or related field, and 8+ years of relevant experience.
  • Data Science experience within marketing. Needs to have done the following:
    • Attribution modeling
    • Audience segmentation, targeting and measurement. Experience within clean rooms a bonus
    • 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.

Preferred qualifications include:
  • 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).

Compensation and Benefits
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation.
Compensation
The base salary compensation range being offered for this role is $200,000 and above per year.
This role is also eligible to participate in the annual bonus program.
Company Benefits
TRANZACTprovides a competitive benefit package which includes the following (eligibility requirements apply):
  • Health and Welfare 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).
  • Leave Benefits: 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).
  • Retirement Benefits: Savings Plan with annual nonelective company contribution.

TRANZACT is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Equal Opportunity Employer/Disability/Vet

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