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Full Time Data Science Manager Jobs in New York (NOW HIRING)

Optimize Partners

Director, Data Science

New York, NY · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... full-time Director, Data Science to lead, motivate, and manage a team of 7 data scientists, including multiple data projects. Responsibilities: * As a manager of a world-class data science team ...

Dentsu, Inc.

Manager, Data Science

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Manager, Data Science to support business intelligence & data science ... Amplifi Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal ...

Omnicom

Manager, Data Science

New York, NY · On-site

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... advertising, management consulting, marketing or digital consulting Knowledge of agency-side ...

Omnicom

Manager, Data Science

New York, NY · Hybrid

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... advertising, management consulting, marketing or digital consulting Knowledge of agency-side ...

Brigit

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Managing and growing a team of data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry-standard ...

Pwc

AIT - AI Data Scientist Manager

New York, NY

$99K - $297K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary The Opportunity As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

  • Medical

  • Retirement

  • PTO

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

Gartner

Director, Data Science

Stamford, CT · Remote

  • Medical

  • Retirement

  • PTO

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

Medidata Solutions

Senior Data Scientist

New York, NY · On-site

$114K - $153K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering. Responsibilities: Your are an ...

SageSure

Director, Data Science

Jersey City, NJ · On-site

Proven ability to think strategically, manage complex initiatives, and prioritize effectively ... Our Data & AI organization brings together Data Science, Business Intelligence, Data Management ...

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All JobsData Science JobsFull Time Data Science Manager JobsFull Time Data Science Manager Jobs in New York

Full Time Data Science Manager information

What is the difference between Full Time Data Science Manager vs Data Scientist?

AspectFull Time Data Science ManagerData Scientist
CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often prefers leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareUsed across industries for data analysis, modeling, and insights

The Full Time Data Science Manager oversees data teams and strategic projects, requiring leadership skills, while Data Scientists focus on analyzing data and building models. Both roles require strong technical skills, but the manager also emphasizes team management and project coordination.

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

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

What cities in New York are hiring for Full Time Data Science Manager jobs?

Cities in New York with the most Full Time Data Science Manager job openings:

Full Time Data Science Manager jobs near you
Infographic showing various Full Time Data Science Manager job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, 2% Hybrid, and 15% Remote job distribution.

Manager, Data Science

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

Company description
Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world's most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA. Spark Foundry's start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo. Combined with Publicis Media's powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we "Bring HEAT to Brands." No other agency possesses the expertise that we do to address today's most pressing challenges to drive business transformation through media.
Overview
The Manager of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with large individual- and transaction-level datasets to design and deliver best-in-class data science solutions that enable clients to identify, target, engage, and measure audiences with precision and efficiency. The data scientist must be able to translate across technical and non-technical stakeholders in both directions: from client requirements to innovative data science solutions, and from quantitative results to business-relevant, actionable insights.
Responsibilities
  • Navigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions

  • Monitor data quality and maintain data science pipelines for client data assets, including 1PD and 3PD

  • Develop, deploy, and maintain ML and AI workflows for identifying and targeting relevant audiences, including propensity/classification models as well as unsupervised clustering/segmentation

  • Develop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations, etc.

  • Collaborate with strategy teams to translate technical outputs into relevant business insights and recommendations, including client-facing discussions and dashboards

  • Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement

  • Develop and implement a test-and-learn roadmap to continuously refine data-driven strategies, enabling rapid optimization

  • Contribute to data science team- and practice-building initiatives, e.g. presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects

  • Document and share optimized, reusable code with data science colleagues using Git

  • Continuously innovate, staying current with the latest technological developments and applying them to current workflows

  • Independently set, communicate, and deliver against realistic expectations and timelines

  • Guide the development of client data strategy and promote the adoption of data-driven processes across planning, activation, and measurement

  • Proactively identify and pursue new use cases and opportunities to use data science capabilities to solve client challenges

Qualifications
  • 2+ years of data science experience in advertising, marketing, or related fields, with agency experience preferred

  • Advanced degree in Statistics, Data Science, or other quantitative fields preferred

  • Deep theoretical and practical understanding of statistical/ML techniques and experimental design

  • Hands-on experience with granular, disaggregated data, particularly behavioral consumer datasets and/or media logs; engagement with publisher walled gardens (AMC, ADH, etc.) a plus

  • Advanced proficiency with SQL for big data analytics and Python for production-ready workflow development

  • Experience with Databricks or similar cloud-based big data platforms, e.g. Snowflake, BigQuery, Redshift

  • Experience building agentic workflows and integrating AI solutions into existing data and tech stacks

Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
#LI-HA1
Compensation Range: USD $88,540.00 - USD $141,687.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/29/2026.

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