ZipRecruiter

Log In

1

Data Science Project Manager Jobs in Phoenix, AZ

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

... data science project lifecycles, from ideation to production, ensuring alignment with business ... and stakeholder management skills. Preferred : • Semiconductor industry experience. • ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

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 ...

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 ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Incumbent must have ability to manage a varied workload of projects with multiple priorities and ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

$99K - $148K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Incumbent must have ability to manage a varied workload of projects with multiple priorities and ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Incumbent must have ability to manage a varied workload of projects with multiple priorities and ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Incumbent must have ability to manage a varied workload of projects with multiple priorities and ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Documents requirements for data science and reporting projects. * Supports the development of ... Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Documents requirements for data science and reporting projects. * Supports the development of ... Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Republic Services

Data Scientist III

Phoenix, AZ

Documents requirements for data science and reporting projects. * Supports the development of ... Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Republic Services

Data Scientist III

Phoenix, AZ

Documents requirements for data science and reporting projects. * Supports the development of ... Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Documents requirements for data science and reporting projects. * Supports the development of ... Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Documents requirements for data science and reporting projects. * Supports the development of ... Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... science projects across multiple teams and domains. In this role, you'll take ownership of ...

next page

Showing results 1-20

All JobsData Science Project Manager JobsData Science Project Manager Jobs in Phoenix, AZ

Data Science Project Manager information

See Phoenix, AZ salary details

$16

$57

$79

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

As of Jun 25, 2026, the average hourly pay for data science project manager in Phoenix, AZ is $57.10, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $66.83 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

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?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Phoenix, AZ? For Data Science Project Manager jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Phoenix, AZ look for? The top searched job categories for Data Science Project Manager jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Science Project Manager jobs? Cities near Phoenix, AZ with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you

Data Scientist

SD Department of Veterans Affairs

Phoenix, AZ • On-site

$106K/yr

Other

Posted 10 days ago

Job description

This position supports the Veterans Benefits Administration (VBA), Medical Disability Examination Office (MDEO) in Washington, D.C. The primary purpose for this position is to serve as a Data Scientist, supporting the data architecture modernization and sustainment, and analyzing data and trends associated with medical disability examinations associated with Veterans and their claims.

Qualifications:To qualify for this position, applicants must meet all requirements by the closing date of this job opportunity announcement, 06/22/2026.
INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) / BASIC REQUIREMENT:

  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

    or

  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

To qualify at the GS-13 grade level: In addition to basic requirements, applicants must have completed at least 1 full year (52 weeks) equivalent to the next lower grade level of GS-12, in a federal, state and/or private setting. Specialized experience for this position must include: (1) Experience using SQL querying language (such as Oracle SQL or PLSQL) to acquire data from relational databases for data science projects. (2) Experience using data mining techniques to design and execute data science projects. (3) Experience using data visualization tools (such as Microsoft Power BI or Tableau) for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.
Examples of specialized experience for this position may include:
  1. Experience preparing and analyzing structured and unstructured datasets for exploration and evaluating data science centric models.
  2. Experience working with multiple data types and formats as a part of a data science project.
  3. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration
  4. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects.
  5. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project.
  6. Experience planning and executing a variety of data science and/or analytics projects.
There is no educational substitution authorized for the grade level of GS-13.
Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Full-Time vs. Part-Time Employment: Full-time employment is considered to be at least 35 hours per week. Part-time experience will be credited on a pro-rated basis; when including part-time employment in your resume you must specify the average hours worked per week.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at http://://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Education:An unofficial or official copy of your transcripts must be submitted with your application if you are basing all or part of your qualifications on education.
Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education: http://ope.ed.gov/accreditation/
If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: Recognition of Foreign Qualifications | U.S. Department of EducationEmployment Type: OTHER

Apply