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Data Scientist Project Manager Jobs in Arizona (NOW HIRING)

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... Strong organizational skills with an ability to manage multiple projects at any given time.

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... Strong organizational skills with an ability to manage multiple projects at any given time.

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... Strong organizational skills with an ability to manage multiple projects at any given time.

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... Strong organizational skills with an ability to manage multiple projects at any given time.

Senior Project Manager Job Locations: Phoenix, AZ, USA Required Experience: 8 - 10 Years Skills ... Serve as a scrum master to work across data science and data analytics to facilitate planning and ...

New

Senior Project Manager Job Locations: Phoenix, AZ, USA Required Experience: 8 - 10 Years Skills ... Serve as a scrum master to work across data science and data analytics to facilitate planning and ...

New

Senior Project Manager Job Locations: Phoenix, AZ, USA Required Experience: 8 - 10 Years Skills ... Serve as a scrum master to work across data science and data analytics to facilitate planning and ...

New

In the role of Data Scientist I, we'll count on you to: Handle highly sensitive and confidential ... Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast ...

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

Data Scientist II, Generative AI Location/Type: Onsite, Phoenix, AZ - Must currently permanently ... project that codes and classifies waste profiles using customer and waste data * Manage and ...

In the role of Data Scientist I, we'll count on you to: Handle highly sensitive and confidential ... Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast ...

Principal Data Scientist

Phoenix, AZ · On-site

$150 - $210/hr

We are seeking a Principal Data Scientist with deep clinical or healthcare and life sciences ... Familiarity with model transparency, AI risk management, PHI-sensitive environments, auditability ...

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

Data Project Manager

Phoenix, AZ · On-site

$65 - $75/hr

Data Project Manager Location: Hybrid Phoenix Full Time Job: Contract Salary: $65hr-$75hr Contact: Ryan Griffin Project Manager, Enterprise Data & Systems About the Role As a Project Manager ...

Showing results 41-60

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:

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.

Data Scientist (AHL)

Achieve

Tempe, AZ

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Company Description

Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers.

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S., with over $40B in enrollments for our industry-leading, tech-enabled debt resolution services business, and over $11Bn in personal and home loans originations via our banking-as-a-service partner.

Job Description

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience), you’ll impact the lives of everyday people and help them go from surviving to thriving with innovative digital personal finance solutions. You will focus on developing and deploying predictive and descriptive models throughout the customer lifecycle, including machine learning models. Additionally, you will conduct strategic analytics and develop BI to monitor program results.  You will serve as a strategic thought partner for leaders throughout the company, helping them in identifying and exploiting opportunities where modeling and analytics can add value. 

What you’ll do:

  • Conduct deep-dive analytics on strategic initiatives
  • Access data, run analytics models, solve business problems.
  • Understand an influence the pillars of conceptual risk modeling
  • Establish and maintain relationships with internal stakeholders.
  • Serve as a strategic thought partner for other members of the Data Science team
Qualifications

What you’ll bring:

  • 1-2+ years of experience as a professional data scientist. This is a must.  (Experience in a regulated industry like banking with hands-on compliance work is a plus).
  • Excellent risk modeling and analytic skills. 
  • Proficient coding skills in SQL and Python/R.
  • Experience developing BI dashboards using Tableau is a plus
  • Keen eye for opportunities to get value from data.
  • Ambitious, resourceful, and possessed of excellent judgment as evidenced by steadily growing professional responsibility.
  • Strong organizational skills with an ability to manage multiple projects at any given time.
  • Strong verbal and written communication skills.  In particular, be able to convert highly technical concepts and results into easily understood business value proposition.
  • Demonstrated ability to work independently as a self-starter.
  • Education in a "hard" quantitative field (e.g. Math, Stats, Economics, Operations Research, etc.), with evidence of outstanding academic achievement. This is a must.
  • Ideal candidates will have an advanced degree (>= MS), although professional experience and achievement are more important.

Preferred:

  • Experience in consumer lending domain (secured/unsecured loans, credit cards, etc.) or fintech lending environment.
  • Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.
  • Experience working with credit decisioning engines such as Oscilar, TakTile etc. will be a plus.
  • Experience working with capital markets and servicing businesses.
  • Knowledge or working experience in loan-level economics, yield curves, margins/profitability, etc.
  • Experience working in the GCP environment.
  • A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Achieve well-being with:

  • 401 (k) with employer match
  • Medical, dental, and vision with HSA and FSA options  
  • Competitive vacation and sick time off, as well as dedicated volunteer days
  • Access to wellness support through Employee Assistance Program, physical and mental health wellness programs
  • Pet care discounts for your furry family members
  • Financial support in times of hardship with our Achieve Care Fund
  • A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups

We are proudly offering hybrid options in the San Mateo, CA and Phoenix, AZ metro market. In other locations throughout the country, we offer work from home.

Salary Range: $140,000 - $160,000 + bonus + benefits. 

This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.

Join Achieve, change the future.

At Achieve, we’re changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you’ll get to be a part of their journey to a better financial future. We’re proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job—it’s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.

Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve’s Talent Acquisition leader.

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