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Data Science Project Manager Jobs in New York (NOW HIRING)

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ...

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ...

... manage data pipelines, and ensure scalable data infrastructure. Experience in the HR domain is a plus. Responsibilities * Lead end-to-end data science projects using agile and iterative approaches.

Director of Data Science

Manhattan, NY · Remote

$336K - $356K/yr

... data science projects. Up to 10% domestic travel required for meetings/clients visits; 100% remote; must reside in U.S.; reports to HQ in New York, NY. Salary: $336,350 - $356,350 per year. Apply ...

New

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day.

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

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Data Science Project Manager information

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How much do data science project manager jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for data science project manager in New York is $62.92, according to ZipRecruiter salary data. Most workers in this role earn between $54.42 and $73.65 per hour, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in New York? For Data Science Project Manager jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Data Science Project Manager jobs? Cities in New York with the most Data Science Project Manager job openings:
Infographic showing various Data Science Project Manager job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,865 per year, or $62.9 per hour.
Senior Project Manager, Data Science Initiatives

Senior Project Manager, Data Science Initiatives

The Jackson Laboratory

New York, NY • Remote

$74K - $125K/yr

Other

Posted 22 days ago


The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

26th of 103 rated laboratories


Job description

The Senior Project Manager, Data Science Initiatives will play a leadership role within JAX Research, overseeing the planning, facilitating, executing, and delivering high-priority data science projects within established timelines, resource constraints, and defined objectives. This role is an essential point of leadership for the onboarding and setup of new initiatives. This role is responsible for building and standardizing the project management systems, frameworks, and tools that underpin Data Science Initiatives, establishing consistent processes and KPIs that scale across a growing and complex research portfolio. In this research-driven environment, the Senior Project Manager ensures the effective and efficient use of personnel, equipment, funding, and other resources to advance project goals. This role monitors project progress, identifies risks or deviations from expected outcomes, and implements corrective actions as needed. This position operates across cross-functional teams to ensure project objectives are met, stakeholder needs are addressed, and high-quality deliverables are produced. The Senior Project Manager provides clear communication, strategic context, and data-informed recommendations to internal and external stakeholders while driving alignment, accountability, and efficient execution across the project lifecycle.

Remote (with travel to JAX sites as needed) Salary Range: $74,772 - $125,184 based on years of related experience

Key Responsibilities (What you contribute):

  • Build and standardize project management systems, frameworks, tools, and KPIs that reflect best practices and enable consistent, scalable support across complex initiatives.

  • Maintain visibility across the full project portfolio, including intake and setup of new projects, establishing charters, resource plans, and clear frameworks before execution begins.

  • Document and track all active projects at an appropriate level of detail, capturing objectives, milestones, task priorities, team members and roles, commitment levels, decision points, and resource availability (staff, funding, equipment).

  • Partner with leads to map tasks and timelines, identify interdependencies, and ensure alignment across concurrent initiatives.

  • Develop a sufficient understanding of the aims of the sponsors and collaborators to effectively coordinate project teams and serve as a bridge between technical and operational workstreams.

  • Keep projects on track by proactively identifying and resolving blocking issues, unclear priorities, insufficient resources, risks, and deviations from expected outcomes, implementing corrective actions as needed.

  • Coordinate handoffs and ensure continuity as projects transition between phases or team members, including periodic and final review of sponsor satisfaction.

  • Contribute directly to hands-on technical or experimental work, documentation, reports, or publications as project needs require.

  • Mentor and coach a team of project and/or program managers across both technical and emotional intelligence domains.

Knowledge, Skills, and Abilities (What you're good at):

  • Bachelor's degree required/Master's preferred

  • 7 years required/10 years preferred of career project or program manager with experience in driving complex, long-term, strategic projects

  • Proven track record of managing large, complex research programs and cross-functional teams

  • Demonstrated experience being an agent of change with proven track record of influence and driving required operational change.

  • Demonstrated ability to successfully design & implement a project management framework that drives consistency and operational excellence

  • High fluency in risk management, decision making, and problem solving

  • Exceptional communication skills and stakeholder management experience

  • Experience managing budgets and driving measurable business impact

  • Experience building or scaling a project management function within a research organization

  • Familiarity with data science workflows, machine learning project lifecycles, or research operations

  • Experience contributing to documentation and reports

  • Ability to navigate matrixed or cross-functional environments and lead through influence

Why JAX

At JAX, you'll join a missiondriven organization dedicated to advancing human health through cuttingedge science, data innovation, and collaborative discovery. You'll shape partnerships and programs that accelerate breakthroughs in genetics, disease modeling, and translational research.

If you're a strategic thinker, a relationship builder, and a leader who thrives at the intersection of science and technology, we'd love to meet you.

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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