Data Scientist at Love's Travel Stops & Country Stores

Oklahoma City, Oklahoma, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

0.0

Posted On

19 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Analysis, Machine Learning, Predictive Modeling, SQL, R, Python, Data Visualization, Data Wrangling, A/B Testing, Customer Analytics, Marketing Analytics, Database Mining, Statistical Techniques, Presentation Skills, Problem Solving

Industry

Retail

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

Responsibilities

The Data Scientist will support Love's business through various analytical and statistical projects focused on marketing and customer analytics. Responsibilities include developing insights from data, partnering with marketing, and utilizing advanced statistical techniques to solve business problems.