Sr Data Scientist, Connect

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