Data Scientist

Love's Travel Stops; Oklahoma City (OK); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Company funded tuition assistance

Paid Time Off

401(k) – 100% Match up to 5%

Medical/Dental/Vision Insurance

Competitive Pay

Career Development

Job summary

A leading travel services company in Oklahoma City is looking for a Data Scientist to support marketing analytics. This role requires expertise in SQL, R, and Python, with a strong focus on customer insights and data-driven decision-making. The ideal candidate will have a BA/BS in a relevant field and experience in retail or analytics. Competitive benefits and a culture that values innovation and community engagement await you at this family-owned business.

Qualifications

• 1-2+ years of experience in retail, sales, marketing, or analytics.
• In-depth knowledge of data science tools preferable.
• Proven experience in troubleshooting and issue resolution.

Responsibilities

• Support marketing and customer analytics projects.
• Work with data platforms for reporting and analysis.
• Incorporate advanced statistical techniques to solve business problems.
• Utilize predictive modeling to enhance customer experience.
• Analyze customer-level data for advertising effectiveness.

Skills

SQL

R

Python

Data modeling

Data visualization

Statistical analysis

Excel

Education

BA/BS in a relevant field

Master's preferred

Tools

Data science tools

Statistical software

Job description

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 after 30 days
• Competitive Pay
• Career Development

Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.

Welcome to Love's:

The Data Scientist will support the Love’s business through a variety of analytical and statistical projects focused on marketing and customer analytics, including supporting strategic decision making and measurement of key marketing initiatives.

Job Functions

• Learn the Love’s business. Develop deep fluency in the composition, roles, and contributions of Love’s products, strategy, and customers, as well as Love’s business performance
• Work with multiple data platforms to perform ad hoc reporting, database mining, and analysis that provide a better understanding of the customer
• Partner with Marketing and other business units to gather requirements and deliver actionable insights
• Incorporate advanced statistical techniques and machine learning concepts (time series forecasting, clustering, neural network) to solve business problems
• Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Utilize predictive modeling to increase and optimize customer experience, store features, revenue, and other business outcomes
• Apply A/B testing framework and test model quality
• Analyze customer-level data to measure advertising effectiveness and optimize campaigns
• Create presentations and deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allow for business understanding and action
• Support any existing and future reporting or analytical needs
• Coordinate with outside data and analytics vendors
• Other duties assigned as needed

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.
• 1-2+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics
• In-depth, hands‑on knowledge of data science tools preferred
• Proven experience with troubleshooting principles and issue resolution technique

Skills and Physical Demands:

• Proficiency querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings
• Competency using R, Python, or other similar statistical software to develop analytical solutions
• Experience with data wrangling, data cleaning and prep
• Proven ability to juggle multiple workstreams as needed
• Data modelling and business analytics experience especially within the retail or marketing domain
• Excel proficiency including simple formulas and pivot tables
• Understanding of data warehouse principles and database structures
• Data visualization skills and ability to present technical solutions to non-technical audience
• 1+ years of experience with mentoring or leading analytical projects
• 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
• Capacity 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

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

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.

Job Category: Corporate

EOE-Protected Veterans/Disability