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Data Scientist Project Manager Jobs in Oklahoma (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Director

Tulsa, OK · On-site

$155K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... multiple projects while maintaining executive-level client relations. You will inspire others by ...

Pwc

AI & GenAI Data Scientist-Director

Oklahoma City, OK · On-site

$155K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... multiple projects while maintaining executive-level client relations. You will inspire others by ...

Accenture

Mentor data scientists and other practitioners and contribute to reusable frameworks, standards ... Management consulting * Project and workstream leadership * Technology strategy and transformation ...

Accenture

Senior Data Scientist

Oklahoma City, OK · On-site

Mentor data scientists and other practitioners and contribute to reusable frameworks, standards ... Management consulting * Project and workstream leadership * Technology strategy and transformation ...

Pwc

Payer Healthcare Data Scientist, Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Take ownership of projects, ensuring their successful planning, budgeting, execution, and ... The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ...

Teleflora

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Analytics Manager (India) * Data Engineering / DW team * Product, Marketing, and Finance ... projects within our local communities. Say everything and share your "Love Out Loud™" with the ...

The OSU/A&M System

Project Manager GS9070

Tulsa, OK · On-site

Campus OSU-Center for Health Sciences Contact Name & Email Jamie Childers Jamie.Childers@okstate ... Experience with data entry, data coding, and data quality control is required. Skills ...

SwiftCruit

Senior Engineer, Data Science

Oklahoma City, OK · On-site

$150 - $190/hr

Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... management at scale in production environments. * Translates complex business problems into ...

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Oklahoma

Data Scientist Project Manager information

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.

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.

Can a data scientist become a data scientist project manager?

A data scientist can become a data scientist project manager by developing leadership, communication, and project management skills, often through experience and certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and teams while maintaining technical expertise in data analysis and modeling.

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.

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 are popular job titles related to Data Scientist Project Manager jobs in Oklahoma?

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

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

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

Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Data Scientist

Loves Travel Stops & Country Store

Oklahoma City, OK • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 hours ago

Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 799 frontline employees who took The Breakroom Quiz

400th of 733 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.

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