Job Description

Company Description

Pilot Flying J is the 10th largest privately held company in North America with more than 28,000 team members. As the industry-leading network of travel centers, we have more than 950 retail and fueling locations in 44 states and six Canadian provinces. Our energy and logistics division is a top supplier of fuel, employing one of the largest tanker fleets and providing critical services to oil operations in our nation's busiest basins. Pilot Company supports a growing portfolio of brands with expertise in supply chain and retail operations, logistics and transportation, technology and digital innovation, construction, maintenance, human resources, finance, sales and marketing.

Founded in 1958, we are proud to be family owned and consider our team members to be part of the family. Our founding values, people-first culture and commitment to giving back remains true to us today. Whether we are serving guests, a fellow team member, or a trucking company, we are dedicated fueling people and keeping North America moving.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Pilot Flying J is part of the Pilot Company family of brands that keeps North America's drivers moving, including E-Z Trip, Mr. Fuel, One9 Fuel Stop, Pride, StaMart and Xpress Fuel.

 

Job Description

The purpose of this job is to develop and implement analytical solutions, including predictive modeling and machine learning to complex business problems

  • Identify business trends and problems through data analysis
  • Apply and integrate statistical, mathematical, and predictive modeling to manipulate data from a variety of sources to impact business partner decision making
  • Develop, analyze, and model operational, customer, economic, management, accounting, and other organizational data to quantify performance of business segments and evaluate potential operational changes
  • Use and analyze existing data science solutions to perform tasks in a reproducible, repeatable manner
  • Collaborate with data engineering and infrastructure team to deliver complete analytics solutions to business partners
  • Own the development and maintenance of data science tools deployed for business stakeholders
  • Keep up with the latest developments in own expertise in current technical field by engaging in opportunities for professional development and mentoring
  • Model behaviors that support the company’s common purpose; ensure guests and team members are supported at the highest level
  • Ensure all activities are in compliance with rules, regulations, policies, and procedures
  • Complete other duties as assigned
Qualifications
  • Master's degree or equivalent experience in a field requiring mathematics or computer science required; PhD preferred
  • Two years of statistics from an accredited mathematics, engineering, or science department or equivalent experience required
  • Minimum two years’ experience in developing and implementing machine learning models at scale in cloud environment
  • Strong expertise in data science algorithms such as logistic regression, dbscan, K-prototypes, CHAID, XbBoost, LightGBM, recommendation engines, T-Learner, time series analysis
  • Strong expertise in A/B testing
  • Strong expertise in machine learning/deep learning frameworks and libraries such as Scikit-Learn, Pytorch, Keras, Prophet
  • Experience in marketing and digital analytics, particularly advanced customer segmentation, campaign and channel analytics and consumer insights is highly desirable
  • Experience in deploying machine learning models to production in a cloud environment is highly desirable
  • Experience working in a cross functional, agile, faced-paced and experimentation-driven environment required

Specialized Knowledge

  • Mastery of SQL required
  • Mastery of Linux/Unix required
  • Mastery in Python required
  • Mastery in statistics, mathematical modeling, and analysis required
  • Expertise in version control and coding best practices required
  • Expertise in exploratory data analysis via code required
  • Expertise in a NoSQL technology required
  • Experience with machine learning required
  • Experience with cloud computing infrastructures (e.g., AWS, Azure, GPC) required

Competencies

  • Ability to work with large volumes of data and translate into actionable results and visualizations
  • Ability to create an analytical solution from a design
  • Ability to set priorities, work independently and remain engaged with problems and tasks until resolution
  • Strong attention to detail and accuracy
  • Ability to take initiative and work productively with a moderate level of guidance
  • Ability to work as a member of a team, engage in peer review and achieve goals

 

 

 

Additional Information
  • All your information will be kept confidential according to EEO guidelines.
  • Nation-wide Medical Plan/Dental/Vision
  • 401(k) Flexible Spending Accounts
  • Adoption Assistance
  • Tuition Reimbursement
  • Weekly Pay

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

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