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Senior Data Analyst Machine Learning Jobs in Oklahoma

PNC Bank

Senior Data Engineer - AMG Tech

Ponca City, OK · On-site

$50K - $202K/yr

As a Data Engineer Sr within PNC's Asset Management organization, you will be based in Pittsburgh ... Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Application Delivery ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is ... Learning Orientation: Curiosity and motivation to grow in ML- and LLM-adjacent data engineering ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is ... Learning Orientation: Curiosity and motivation to grow in ML- and LLM-adjacent data engineering ...

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK · On-site

$75K - $94K/yr

As a Senior Marketing Data Analyst , you'll serve as the primary analytics partner for marketing initiatives across BOK Financial. You'll leverage customer, campaign, performance, and bank product ...

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK · On-site

$75K - $94K/yr

As a Senior Marketing Data Analyst , you'll serve as the primary analytics partner for marketing initiatives across BOK Financial. You'll leverage customer, campaign, performance, and bank product ...

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK

$79K - $98K/yr

As a Senior Marketing Data Analyst , you'll serve as the primary analytics partner for marketing initiatives across BOK Financial. You'll leverage customer, campaign, performance, and bank product ...

Americanfidelity

Data Scientist

Oklahoma City, OK · Hybrid

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks ... senior executives. This includes the ability to speak confidently in both business and ...

American Fidelity

Data Scientist

Oklahoma City, OK · On-site

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks ... senior executives. This includes the ability to speak confidently in both business and ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

DATA ANALYST POSITION SUMMARY THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE ... This position reports directly to the Senior Business Intelligence Engineer and supports the ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

Expand Energy

Sr. ML Ops Engineer

Oklahoma City, OK · On-site

$85K - $117K/yr

Job Summary This senior level position is responsible for building and operating the platforms ... analytics and machine learning cases * Hands-on experience with cloud-based data platforms and ...

Varsity Tutors

Data Science Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Senior Data Analyst Machine Learning information

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Oklahoma?

The most popular types of Data Analyst Machine Learning jobs in Oklahoma are:

What are popular job titles related to Senior Data Analyst Machine Learning jobs in Oklahoma?

For Senior Data Analyst Machine Learning jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Machine Learning jobs in Oklahoma look for?

The top searched job categories for Senior Data Analyst Machine Learning jobs in Oklahoma are:

What cities in Oklahoma are hiring for Senior Data Analyst Machine Learning jobs?

Cities in Oklahoma with the most Senior Data Analyst Machine Learning job openings:

Senior Data Analyst Machine Learning jobs near you
Infographic showing various Senior Data Analyst Machine Learning job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Manager of Analytics and Data Science

Loves Travel Stops & Country Store

Oklahoma City, OK • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Love's Travel Stops rating

5.8

Company rating: 5.8 out of 10

Based on 800 frontline employees who took The Breakroom Quiz

404th of 739 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.

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