**Company Description** Pilot Company is an industry-leading network of travel centers with more than 30,000 team members and over 750 retail and fueling locations in 44 states and six Canadian provinces. Our energy and logistics division serves as 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 by Jim A. Haslam II and currently led by CEO Adam Wright, 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 to 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, protected veteran status or any other characteristic protected under applicable federal, state or local law. **Job Description** The purpose of this job is to solve complex business problems as a subject matter expert and deliver commercial value by performing exploratory data analysis, building models, and designing and analyzing experiments. Essential Functions 1. Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance. 2. Perform analyses in areas such as loyalty/consumer analytics, time series forecasting, price elasticity and optimization, clustering, and causal inference. 3. Build models using techniques such as regression, logistic regression, and additional machine learning models. 4. Collaborate with business stakeholders and strategists to identify areas of opportunity for data science solutions that will deliver commercial value. 5. Collaborate with data engineering to define feature requirements and data quality tests. 6. Coordinate with machine learning engineers to scale and maintain data science solutions. 7. Ability to measure the impact of data science solutions. 8. Use and analyze existing data science solutions to perform tasks in a reproducible, repeatable manner 9. Maintain own expertise in current technical field by engaging in opportunities for professional development and mentoring others. 10. Model behaviors that support the company’s common purpose; ensure guests and team members are supported at the highest level 11. Ensure all activities are in compliance with rules, regulations, policies, and procedures **Qualifications** + Master’s degree or equivalent experience in fields such as statistics, econometrics, business analytics, data science, etc. + Minimum of 5-7 years of relevant industry experience (exploratory data analysis, model building, causal inference, etc.) + Experience deploying and maintaining productionized data science models a plus + Experience in ML, statistics, optimization or related fields required;deeper experience in working with large data sets,simulation/optimization/distributed computing tools is a plus Specialized Knowledge + Experience with git or other code versioning tools + Experience with Databricks or other cloud-based development tools + Design and analysis of experiments + Experience with programming is required, specific experience in R + and Python is a plus + Mastery of exploratory data analysis and data mining techniques + (SQL, R, Python, Tableau, Spark) + Experience with supporting deployment, monitoring, maintenance, + and enhancement of models desired. \#LI-CR1 **Additional Information** Nation-wide Medical Plan/Dental/Vision 401(k) and Flexible Spending Accounts Adoption Assistance Tuition Reimbursement Onsite Gym and Cafeteria Weekly Pay All your information will be kept confidential according to EEO guidelines 32492 Pilot is an Equal Opportunity Employer. Pilot does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.