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Data Scientist Project Manager Jobs in Arizona (NOW HIRING)

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... manage complex projects and priorities. * Understanding of data governance, data privacy ...

Unitek Learning

People Data Scientist

Tempe, AZ

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... manage complex projects and priorities. * Understanding of data governance, data privacy ...

Unitek Learning

People Data Scientist

Tempe, AZ

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... manage complex projects and priorities. * Understanding of data governance, data privacy ...

Republic Services

Data Scientist III

Phoenix, AZ

The incumbent serves as a technical leader on project teams, a mentor to junior data scientists ... Master's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Ability to independently drive complex data projects end-to-end with minimal supervision Our Ideal Candidate will have the following qualifications: * 2 or more years of experience in data science ...

Kforce Technology Staffing

Data Scientist II

Phoenix, AZ · On-site

Exposure to MLOps practices and machine learning lifecycle management is preferred but not required ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Demonstrated ability to work independently on complex problems, manage multiple projects ...

Master Electronics

Data Scientist II

Phoenix, AZ

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Demonstrated ability to work independently on complex problems, manage multiple projects ...

Master Electronics

Data Scientist II

Phoenix, AZ

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Demonstrated ability to work independently on complex problems, manage multiple projects ...

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ

The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Office of the Inspector General

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies ... The Office of Personnel Management (OPM) must authorize employment offers made to current or former ...

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Arizona

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 Arizona?

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

What job categories do people searching Data Scientist Project Manager jobs in Arizona look for?

The top searched job categories for Data Scientist Project Manager jobs in Arizona are:

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

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

Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 2% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

People Data Scientist

Unitek Learning

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Company Description
As a leading healthcare education organization, Unitek Learning's family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment.
Job Description
The People Data Scientist applies advanced statistical, analytical, and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling, experimentation, machine learning, and workforce analytics to identify trends, assess organizational effectiveness, and inform strategies related to talent acquisition, employee engagement, retention, performance, workforce planning, and diversity initiatives. Working collaboratively with Human Resources, Talent Acquisition, Total Rewards, Learning and Development, Finance, and business leaders, the People Data Scientist translates complex workforce data into meaningful recommendations and decision-support tools. The position develops predictive models, conducts research and experimentation, and delivers data-driven insights that improve organizational performance while ensuring ethical, responsible, and compliant use of employee data.
Job Responsibilities:
  • Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions.
  • Facilitate and support HCM system implementations, enhancements, integrations, testing, and ongoing system optimization across HR, Payroll, Benefits, Talent, and Workforce Management functions.
  • Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve processes, and implement scalable workforce technology and analytics solutions.
  • Configure and maintain HRIS workflows, security roles, business processes, system controls, and reporting structures to support operational efficiency and data integrity.
  • Manage workforce data governance activities, including data validation, audits, compliance monitoring, and the maintenance of accurate and reliable employee data across multiple systems.
  • Develop workforce analytics and statistical analyses to identify trends, correlations, and actionable insights related to headcount, turnover, retention, recruiting, labor costs, engagement, diversity, and workforce planning.
  • Apply predictive analytics, forecasting techniques, and data modeling methodologies to support strategic workforce planning and organizational decision-making.
  • Design, develop, and maintain dashboards, scorecards, and executive reporting solutions that provide visibility into key workforce and business metrics.
  • Translate complex workforce data into clear visualizations, executive presentations, and data-driven narratives that connect people's metrics to business outcomes.
  • Create and maintain automated reporting processes, data integrations, and data pipeline solutions that improve efficiency, accuracy, and scalability of workforce reporting.
  • Partner with HR Centers of Excellence, including Talent Acquisition, Total Rewards, Learning and Development, and Employee Relations, to support analytical and reporting needs.
  • Identify opportunities to improve workforce processes, reporting capabilities, and HR technology solutions through data analysis, automation, and emerging technologies, including AI-enabled tools.

Qualifications
Education, Experience, Knowledge, Skills and Abilities:
  • Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field required; Master's degree preferred.
  • Minimum of 5 years of experience in data science, people analytics, workforce analytics, applied research, or a related analytical discipline.
  • Strong knowledge of statistical modeling, predictive analytics, machine learning, hypothesis testing, survey methodology, and experimental design.
  • Proficiency in SQL and at least one analytical programming language such as Python or R.
  • Experience working with business intelligence and data visualization tools to develop dashboards, reports, and executive presentations.
  • Demonstrated ability to analyze large and complex datasets and communicate findings to diverse audiences.
  • Knowledge of workforce analytics, organizational research methods, employee lifecycle metrics, and talent management concepts preferred.
  • Strong critical thinking, problem-solving, and analytical skills with the ability to independently manage complex projects and priorities.
  • Understanding of data governance, data privacy, responsible AI practices, and bias mitigation principles.
  • Excellent communication and consulting skills with the ability to influence decisions through data-driven insights and recommendations.

Additional Information
We Offer:
  • Medical, Dental and Vision starting the 1st of the month following 30 days of employment
  • 2 Weeks' starting Vacation per year. Increasing based on years of service with company
  • 10 paid Holidays and 1 Floating Holiday
  • 401K with a Company Match
  • Company Paid Life Insurance at 1x's your annual salary
  • Leadership development and training for career advancement
  • Tuition assistance and Forgiveness for you and your family up to 100% depending on program

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