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Data Science Project Manager Jobs in Queens, NY (NOW HIRING)

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

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 ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

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 ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

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 ...

Rent The Runway

Manager, Data Science

Manhattan, NY · On-site

$150 - $190/hr

We are looking for a hands‑on Data Science Manager to lead our growing Data Science function ... Demonstrated ability to independently lead complex projects from problem definition through ...

Vizio

(USA) Senior Manager, Data Science

Manhattan, NY · On-site

$121K - $242K/yr

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... data science projects aligned with strategic goals. * Guide and mentor team members on advanced ...

Omnicom

Data Science Director

New York, NY · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Excellent project management skills with an ability to set and achieve goals, meet deadlines and ...

OpenX

Data Scientist III

New York, NY · Remote

Define analytical approaches and scope data science projects for moderately complex or ambiguous business problems. * Partner with product managers and stakeholders to define success metrics and ...

Dentsu, Inc.

Manager, Data Science

New York, NY · On-site

We're looking for a Manager, Data Science to support business intelligence & data science initiatives by delivering high-quality analysis, models, and insights that inform campaign performance and ...

OpenX

Data Scientist III

New York, NY · On-site

Define analytical approaches and scope data science projects for moderately complex or ambiguous business problems. * Partner with product managers and stakeholders to define success metrics and ...

OpenX

Data Scientist III

New York, NY · On-site

Define analytical approaches and scope data science projects for moderately complex or ambiguous business problems. * Partner with product managers and stakeholders to define success metrics and ...

Omnicom

Data Science Director

New York, NY · Hybrid

UM Job Function: Data and Analytics Job Subfunction: Data Science and AI TheData ... Excellent project management skills with an ability to set and achieve goals, meet deadlines and ...

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 ...

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Showing results 21-40

All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Queens, NY

Data Science Project Manager information

See Queens, NY salary details

$17

$60

$83

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

As of Sep 4, 2026, the average hourly pay for data science project manager in Queens, NY is $60.01, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $70.24 per hour, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Data Science Project Manager jobs in Queens, NY?

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What job categories do people searching Data Science Project Manager jobs in Queens, NY look for?

The top searched job categories for Data Science Project Manager jobs in Queens, NY are:

What cities near Queens, NY are hiring for Data Science Project Manager jobs?

Cities near Queens, NY with the most Data Science Project Manager job openings:

Data Science Project Manager jobs near you

Data Science Growth Leader

Sky Consulting Inc

Jersey City, NJ • On-site

Other

Re-posted 25 days ago

Job description

We are seeking a dynamic and experienced Data Science Growth Leader to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.

Key Responsibilities

Business Development & Growth:

  • Identify and pursue new business opportunities in the AI & ML space.
  • Develop and execute strategies to expand our client base and market presence.
  • Build and maintain strong relationships with key stakeholders and clients.
  • Collaborate with sales and marketing teams to create compelling value propositions and proposals.

Technical Leadership:

  • Lead the design, development, and deployment of enterprise-level data science solutions.
  • Ensure solutions are scalable, robust, and aligned with business objectives.
  • Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings.
  • Mentor and guide a team of data scientists and engineers to achieve project goals.

Strategic Planning:

  • Develop and implement a strategic roadmap for data science initiatives.
  • Align data science projects with overall business strategy and client needs.
  • Drive innovation and continuous improvement in data science methodologies and practices.

Client Engagement:

  • Work closely with clients to understand their business challenges and requirements.
  • Translate client needs into actionable data science solutions.
  • Present findings, insights, and recommendations to clients in a clear and compelling manner.
Requirements

Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, or a related field.

18-20 years of extensive experience in the Data Science space.

Proven experience in a leadership role within the AI & ML services industry.

Strong track record of driving business development and growth initiatives.

Extensive experience in developing and deploying enterprise-level data science solutions.

Excellent communication and interpersonal skills.

Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Skills:

Experience with cloud platforms (AWS, Azure, Google Cloud).

Proficiency in programming languages such as Python, R, and SQL.

Familiarity with big data technologies (Hadoop, Spark).

Strong analytical and problem-solving skills.