ZipRecruiter

Log In

1

Director Data Science Analytics Jobs in Oklahoma

Varsity Tutors

Data Science Tutor

Stillwater, OK · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Safety Radar

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

Position requires a Master's degree (or foreign equivalent) in Data Science, Business Analytics, or a related technical field, and 2 years of statistical analysis experience. Experience must include ...

asrcfh

Data Scientist

Oklahoma City, OK · On-site

Analyze system performance, operational trends, failure data, and reliability metrics to support ... Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related ...

asrcfh

Data Scientist

Oklahoma City, OK · On-site

Analyze system performance, operational trends, failure data, and reliability metrics to support ... Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related ...

next page

Showing results 1-20

All JobsData Science Analytics JobsDirector Data Science Analytics JobsDirector Data Science Analytics Jobs in Oklahoma

Director Data Science Analytics information

Is 40 too late for data science?

For a Director of Data Science Analytics, starting a career at 40 is not too late, as many professionals transition into data roles later in life. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data management. Age is less important than demonstrated expertise and adaptability in the field.

What does a director of data analytics do?

A director of data analytics oversees the development and implementation of data analysis strategies to support business goals. They lead teams of data scientists and analysts, manage data projects, and ensure the accuracy and integrity of data insights, often using tools like SQL, Python, or Tableau. This role requires strong leadership, strategic thinking, and expertise in data management and analytics techniques.

What is the salary of head of data science and analytics?

The salary for a Director of Data Science and Analytics typically ranges from $120,000 to $180,000 annually, depending on experience, industry, and location. Senior roles may also include bonuses, stock options, and other benefits, with higher compensation for those with advanced skills in machine learning, statistical analysis, and leadership.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently, making it a useful concept for data analysis and feature selection. Understanding this rule helps data scientists prioritize efforts and optimize resources in analytics projects.
Director Data Science Analytics jobs near you

Sr. Manager of Analytics and Data Science

Loves Travel Stops & Country Store

Oklahoma City, OK

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Love's Travel Stops rating

5.8

Company rating: 5.8 out of 10

Based on 792 frontline employees who took The Breakroom Quiz

395th of 728 rated retailers

Job description

Req ID: 484195  

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 Senior Manager of Analytics & Data Science leads teams of analytics and data science professionals responsible for delivering enterprise-wide insights, advanced analytics, and scalable solutions that drive strategic decision-making across the organization. This leader partners closely with business and technology stakeholders to identify opportunities, solve complex business challenges, and deliver measurable business impact through data. 

Job Functions: 

Drive Strategic Decision-Making Through Analytics 

  • Partner with leaders across the organization to identify opportunities where analytics can improve business performance and support strategic objectives
  • Translate complex business questions into actionable analytical approaches and measurable outcomes
  • Deliver insights and recommendations that influence decision-making at all levels of the organization
  • Promote the use of data and analytics as strategic assets across the enterprise 

Advanced Analytics & Solution Delivery 

  • Oversees the entire lifecycle of analytics projects, including requirement gathering, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI-enabled solutions
  • Ensures analytical solutions are scalable, actionable, and aligned to business objectives while delivering measurable business value
  • Establishes best practices that drive consistency, quality, and adoption across analytics initiatives
  • Guides teams in balancing technical rigor with practical business application to maximize organizational impact 

Team Leadership & Development 

  • Build and scale a high-performing data science & analytics organization, defining roles, career paths, and operating norms that attract and retain top analytical talent.
  • Lead a team of data scientists, seen as trusted advisors, known for proactive insights and creating thought leadership.
  • Foster a culture of curiosity, accountability, analytical rigor, experimentation, and continuous improvement.
  • Collaborate cross-functionally with Customer Experience, FP&A, and Data Engineering to deliver comprehensive solutions.
  • Provide coaching, performance management, and career development opportunities that support employee growth and engagement
  • Establish clear priorities and create an environment that enables teams to perform at their highest level 

Strategic Analytics Roadmap 

  • Define and evolve the enterprise analytics roadmap in alignment with organizational priorities
  • Evaluate and prioritize initiatives to maximize business impact and resource effectiveness
  • Balance short-term business needs with long-term capability development
  • Identify opportunities to expand analytics capabilities and increase organizational value 

Strengthen Enterprise Partnerships 

  • Develop trusted relationships with stakeholders across operations, finance, marketing, merchandising, customer experience, technology, and other business functions
  • Align analytics investments with enterprise priorities and strategic goals
  • Facilitate collaboration between analytics, technology, and business teams to maximize impact
  • Effectively communicate complex analytical concepts to technical and non-technical audiences, including senior leadership 

Data Governance & Quality 

  • Partner with technology and data teams to improve data quality, governance, accessibility, and trustworthiness
  • Advocate for data standards and best practices that support enterprise analytics
  • Ensure analytical solutions are built on reliable, well-governed data foundations
  • Promote confidence and trust in analytical outputs across the organization 

Innovation & Continuous Improvement 

  • Champion the adoption of emerging analytics, automation, and AI-enabled capabilities that improve business outcomes, accelerate insight generation, and enhance team effectiveness
  • Encourage experimentation and continuous improvement in analytical approaches and methodologies
  • Partner with technology teams to evaluate and apply emerging capabilities that enhance analytics effectiveness
  • Maintain awareness of industry trends and identify opportunities to create value through innovation 

Experience and Qualifications:

  • Bachelor's degree required in a quantitative or technical field (e.g., data science, statistics, mathematics, computer science, economics, engineering, or operations research); Master's or PhD strongly preferred
  • 8+ years of progressive experience in data science, advanced analytics, or quantitative modeling, including hands-on delivery of machine learning and statistical models in a production environment
  • 3+ years of direct people-leadership experience managing and developing teams of data scientists and analysts
  • Demonstrated track record of translating ambiguous business problems into analytical solutions that drive measurable, enterprise-level impact
  • Experience partnering with executive and cross-functional stakeholders to set strategy and influence decisions without direct authority
  • Retail, fuel, hospitality, or large-scale consumer/operations experience preferred

Skills and Physical Demands: 

  • Deep proficiency in machine learning, statistical modeling, experimentation/A/B testing, forecasting, and optimization techniques
  • Strong programming and data fluency with Python and/or R, advanced SQL, and modern data platforms (e.g., Snowflake, Databricks, or comparable cloud data warehouses)
  • Working knowledge of cloud environments (AWS, Azure, or GCP) and MLOps practices for deploying, monitoring, and maintaining models at scale
  • Proficiency with BI and visualization tools (e.g., Tableau, Power BI, Sigma) to communicate insight clearly to business audiences
  • Familiarity with generative AI and large language model applications and their responsible, value-driven use in the enterprise
  • Proven ability to build, scale, mentor, and retain high-performing technical teams
  • Strong business acumen with the ability to connect analytical work to financial and operational outcomes
  • Excellent written and verbal communication skills, including the ability to make complex concepts clear and compelling to senior, non-technical leadership.
  • Skilled at prioritization, roadmap planning, and resource management across competing demands
  • Self-directed leader who thrives in a fast-moving, collaborative, and evolving environment

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

Apply