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Data Science Project Manager Jobs (NOW HIRING)

campus4tech

Lead Data Scientist

Houston, TX · On-site

Exhibits strong project management skills, with an ability to work independently on multiple ... Advanced knowledge of data science methods - time series forecasting, linear regression, A/B ...

Tatari

Data Science Manager

New York, NY

$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 ...

Tatari

Data Science Manager

Los Angeles, CA · 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 ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Oversee data science project lifecycles, from ideation to production, ensuring alignment with ...

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking * Perform time-series ...

NCSU

Data Science Lead

Raleigh, NC · On-site

Coordinate Data Science Projects: Coordinate the execution of data science initiatives by tracking project progress, facilitating collaboration among stakeholders, managing project timelines and ...

Fora

Senior Data Scientist, Marketing Science

New York, NY · On-site

$130K - $185K/yr

About The Role Fora is hiring a Senior Data Scientist to help us scale our marketing and growth ... Looking for real world business impact, not a science project. * A collaborative and empathetic ...

1872 Consulting

Data Science Manager

Santa Clara, CA · On-site

The role involves establishing operational objectives, leading collaborative projects, and ... in Data Science or Natural Language Processing • 2+ years of experience in managing technical ...

ZS

Advanced Data Science Manager

Evanston, IL · On-site

$225K - $240K/yr

Direct multiple projects simultaneously, honing analytic and project management skills; * Play a key role in development of data science capabilities and offerings that create scale and advance our ...

Walmart

(USA) Senior Manager, Data Science

Fremont, CA · On-site

$143K - $286K/yr

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Translate business requirements into actionable data science projects aligned with strategic ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Manage project-based work cycles (8-24 weeks) with clear start and end points * Ensure completed ...

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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 Sep 15, 2026, the average hourly pay for data science project manager in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 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.

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What are popular job titles related to Data Science Project Manager jobs?

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Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.

Lead Data Scientist

Houston, TX • On-site

campus4tech
See more jobs at campus4techexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Title: Lead Data Scientist
Location: Houston, TX
Job Type: Permanent Full Time
Job Mode: 100% Onsite
Benefits- DENTAL INSURANCE/ MEDICAL INSURANCE/ VISION INSURANCE/ LIFE INSURANCE/ RETIREMENT/ Equity/ PAID TIME OFF
Must-Haves
Project Lead Experience
Building Data Sets
Presenting to A-C level executives
Must have Cogito experience
AWS Certification is a MUST
Job Description
MINIMUM QUALIFICATIONS
Education: Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master's Degree in Data Science preferred.
Licenses/Certifications: (None)
Experience / Knowledge / Skills:
  • Seven (7) years of experience in data science is required
  • Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred
  • Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required
  • Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Ability to communicate, gather requirements and execute storytelling with data
  • Possesses advanced level knowledge of the data science project life cycle
  • Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools
  • Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills
  • Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis
  • Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
  • Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
  • Advanced understanding of SQL database management tools
  • Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques
  • Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
  • Ability to work under minimal supervision in a fast-paced multidisciplinary environment
  • Advanced knowledge of data science methods - time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
  • Superior customer service in the form of first-rate work products and project management
  • Strong ability to manage challenging client situations
  • Strong ability to troubleshoot and recommend solutions
  • Strong ability to translate complex information for a wide range of stakeholders

PRINCIPAL ACCOUNTABILITIES
  • Leads high priority projects that impact the organization.
  • Leads complex issues and problems, and refers more complex issues to higher-level staff.
  • Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments.
  • Provides leadership, coaching, and/or mentoring to subordinate group.
  • Develops custom data models and algorithms to apply to data sets.
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making.
  • Performs research, analysis, and modeling on organizational data.
  • Maintains existing models and evaluates their goodness of fit.
  • Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
  • Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams.
  • Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
  • Assists with the evaluation of data science vendors and tools.
  • Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
  • Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
  • Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann's service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.

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