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

... 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.

In this role at PwC, you will take ownership of projects, confirming their successful planning ... data science projects - Managing project timelines and deliverables to align with client ...

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 ...

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Data Scientist

Manhattan, NY · On-site

$114K - $129K/yr

You will be responsible for transforming ambiguous business challenges into concrete data science projects, building sophisticated models, and automating those models into production-grade data ...

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

... data management teams to architect datasets and automate rigorous quality controls. • Work ... to lead and implement data science projects with minimal supervision. • Proficiency in ...

Data Scientist

Manhattan, NY · On-site

$100 - $125/hr

... management. This is a great opportunity for somebody who wants to work in an environment where ... Take on data science projects from start to finish, including working with stakeholders to agree ...

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Enforce data integrity within Strategic Finance by collaborating with data management teams to ... Demonstrated ability to lead and implement data science projects with minimal supervision.

... management. This is a great opportunity for somebody who wants to work in an environment where ... Take on data science projects from start to finish, including working with stakeholders to agree ...

Data Scientist II

New York, NY · On-site

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

... management. This is a great opportunity for somebody who wants to work in an environment where ... Take on data science projects from start to finish, including working with stakeholders to agree ...

... management. This is a great opportunity for somebody who wants to work in an environment where ... Take on data science projects from start to finish, including working with stakeholders to agree ...

Data Scientist

Manhattan, NY · On-site

$60 - $80/hr

Job Title Data Scientist Department Data Science and Research Unit Division Family and Child Health ... Under technical supervision and in coordination with project management efforts, serve as a primary ...

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Data Scientist Project Manager information

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

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

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

Can a data scientist become a project manager?

A data scientist can transition to a project manager role by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Their technical expertise can be valuable in managing data-driven projects, but they typically need to gain experience in managing teams and project workflows.

What are popular job titles related to Data Scientist Project Manager jobs in New York?

For Data Scientist Project Manager jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Data Scientist Project Manager jobs?

Cities in New York with the most Data Scientist Project Manager job openings:

Infographic showing various Data Scientist Project Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Data Scientist

campus4tech

Manhattan, NY • On-site

Full-time

Re-posted 15 days ago


Job description

Job Title- Data Scientist
Location- New York, NY 10112
Reporting Type- Onsite
W2 candidates only preferred
Green Card Holders and US Citizens only preferred
Summary
This role involves building and delivering advanced data science and AI/ML solutions in an agile environment, with a focus on rapid iteration and business impact. The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting roles include Data Scientists and Data Engineers who will collaborate to build models, 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.
  • Develop and deploy AI/ML models, including propensity modeling.
  • Drive data engineering requirements to support model development and optimization.
  • Leverage GenAI/Data Assist tools to accelerate data science workflows.
  • Collaborate with stakeholders to align models with business outcomes.
  • Build and refine machine learning models under guidance.
  • Perform data analysis, feature engineering, and model validation.
  • Support deployment and testing of AI/ML solutions.

Requirements
  • Data Science Lead (SC or M level) - should have experience leading data science projects with rapid iterations in an agile manner.
  • Should have experience developing AI/ML propensity modeling experience and in driving data engineering to support the model development and refinement.
  • Driving the use of Data Assist or GenAI to accelerate the project would be great. Experience in the HR domain would be ideal!
    Data Science Support (SC or C level) - Should have AI/ML experience and be able to take direction and develop model as part of a team