1

Data Science Project Manager Jobs in Oklahoma (NOW HIRING)

Our client is seeking an experienced Senior Project Manager to support a strategic enterprise data initiative on a part-time basis. This opportunity is ideal for an experienced consultant, semi ...

New

Project Manager Location: This position is remote. Shape the Future of Online Learning with OU ... Oversee data and analytics initiatives - data governance, pipeline integrity, dashboard development ...

This is a jobsite-based project management role (not clerical) running the electrical scope on large mission-critical and data center builds. Future assignments are primarily across the Midwest. It ...

This is a jobsite-based project management role (not clerical) running the electrical scope on large mission-critical and data center builds. Future assignments are primarily across the Midwest. It ...

This is a jobsite-based project management role (not clerical) running the electrical scope on large mission-critical and data center builds. Future assignments are primarily across the Midwest. It ...

Experience with large-scale earthwork, underground utilities, or data center/site development preferred Certifications (Preferred but not Required) * OSHA 30 * CPR/First Aid * Project Management ...

Experience with large-scale earthwork, underground utilities, or data center/site development preferred Certifications (Preferred but not Required) * OSHA 30 * CPR/First Aid * Project Management ...

Showing results 41-60

Data Science Project Manager information

See Oklahoma salary details

$15

$53

$74

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

As of Aug 7, 2026, the average hourly pay for data science project manager in Oklahoma is $53.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $62.16 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 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.
What are popular job titles related to Data Science Project Manager jobs in Oklahoma? For Data Science Project Manager jobs in Oklahoma, the most frequently searched job titles are:
Infographic showing various Data Science Project Manager job openings in Oklahoma as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $110,446 per year, or $53.1 per hour.

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 797 frontline employees who took The Breakroom Quiz

395th of 731 rated retailers


Job description

Req ID: 484503  

This is an onsite role located in OKC. Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future. 

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance the first of the month after 30 days * Competitive Pay * Career Development *  

Welcome to Love's: The Data Scientist plays a critical role in advancing Love's customer analytics capabilities by driving deep understanding of customer behavior, loyalty, and lifecycle dynamics. As part of Analytics team, this role develops advanced machine learning and analytical solutions that shape customer strategy and influence key business decisions across the organization.

Job Functions:

  • Drive Strategic Decision-Making through Customer Insights
    • Analyze customer behavior across channels to identify trends, patterns, and opportunities for growth
    • Develop and maintain customer segmentation and personas to support targeted strategies
    • Work closely with CX Research team to synthesize both qualitative and quantitative data
    • Provide insights into customer lifecycle dynamics, including acquisition, engagement, and retention
  • Develop Advanced Analytics Solutions
    • Design and deploy predictive models (forecasting, segmentation, optimization)
    • Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets
    • Apply statistical and machine learning techniques to solve complex business problems and improve targeting
    • Enable AI-driven workflows and scalable decision-support tools
    • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Enable Loyalty Marketing & Growth Strategies
    • Evaluate the performance and effectiveness of loyalty programs and promotional initiatives
    • Measure customer engagement, program adoption, and incremental impact on spend and visits
    • Generate recommendations to enhance program design and customer experience
  • Improve Efficiency Through Automation
    • Streamline and automate reporting and analytical workflows
    • Work with data engineering to build scalable data products that reduce manual effort and improve speed to insight
    • Support the creation and maintenance of a customer data platform to enable a unified customer view
    • Identify opportunities to apply AI across both new and existing work
  • Communicate Insights Clearly
    • Develop a deep understanding of Love's business, including products, customers, and performance drivers
    • Create compelling visualizations and presentations for cross-functional stakeholders
    • Deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allows for business understanding and action

Experience and Qualifications:

  • BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields
  • 3+ years experience preferred in analytics, data science or related field
  • Experience with data analysis, statistical modeling, or machine learning

Skills and Physical Demands: 

  • Proficiency querying data from relational databases using SQL
  • Competency using R, Python, or other similar statistical software to develop analytical solutions
  • Experience with data wrangling, data cleaning and prep
  • Awareness of Big Data concepts, tools, and architecture
  • Data modelling and business analytics experience
  • Excel proficiency including simple formulas and pivot tables
  • Understanding of data warehouse principles and database structures
  • Ability to develop clear, impactful visualizations using Power BI, Tableau, or similar tools
  • Experience applying AI tools to improve efficiency, automation, and analytical output
  • Natural curiosity that welcomes and embraces change and willingness to try new things
  • Excellent written, oral and interpersonal skills
  • Ability to devise an analytical approach to solving business problems
  • Expertise in translating data into business insights and recommendations
  • Demonstrated ability to explain and simplify complex analytics for a wide range of audiences
  • Work effectively within a team-oriented and collaborative environment
  • Keen attention to detail
  • Highly motivated self-starter
  • Requires prolonged sitting, some bending and stooping
  • Occasional lifting up to 25 pounds
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Requires normal range of hearing and vision
  • Travel required as needed
  • On-call availability

Must be authorized to work in the U.S. without sponsorship 

#LI-Onsite

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.


What Love's Travel Stops employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom