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Senior Data Scientist

Location: 

Oklahoma City, OK, US, 73120

Req ID: 325241 

 

BASIC PURPOSE: The Senior Data Scientist will perform a variety of tasks and projects that address the advanced analytical needs of the broader business. You will mine and analyze complex and unstructured data sets using advanced statistical methods for use in data driven decision making. You will be responsible for driving adoption and enabling the use of advanced analytical techniques to support the decision making and measurement of initiatives that directly impact revenue and profitability of the broader business. To perform the job successfully, an individual should be a key contributor in delivering recommendations that drive business profitability, increase efficiencies and improve the customer experience. Other duties, assignments and specific projects may be assigned at the discretion of management. You will report to the Manager of Advanced Analytics and be supported along the way with robust coaching and development to help you grow. A qualified candidate will have a good mix of technology and insights skills and should be able to use a wide variety of tools and technologies.  

 

MAJOR RESPONSIBILITIES: 

  • 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. 

  • Effectively manage projects, tasks and stakeholders to ensure that projects are delivered on time and fulfilling the expectations outlined in the brief, while ensuring minimal downtime and maximum utilization. 

  • Work closely with various Love’s business units to understand their needs, identify the best analytical approach, develop models as appropriate, and provide 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 experiences, store features, revenue, and other business outcomes. 

  • Identify opportunities for standardization & automation of existing solutions and processes to enable the analytics team to realize our maximum potential  

  • Apply A/B testing framework and test model quality. 

  • Create presentations and deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allows for business understanding and action. 

  • Challenge and improve our analytical capabilities and approaches 

  • Coordinate with outside data and analytics vendors. 

  • Other duties assigned as needed. 

 

EDUCATION AND EXPERIENCE:    

  • 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. 

  • 2+ years experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics  

  • Hands-on experience with data science tools 

  • Proven experience with troubleshooting principles and issue resolution techniques 

 

SKILLS AND PHYSICAL DEMANDS

Hard Skills:  

  • 2+ years of experience \querying data from relational databases using SQL 

  • 2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities. 

  • Competency using R, Python, or other similar statistical software to develop analytical solutions 

  • Experience with data wrangling, data cleaning and prep 

  • Awareness of Big Data concepts, tools, and architecture 

  • Data modelling and business analytics experience 

  • Excel proficiency including simple formulas and pivot tables  

  • Understanding of data warehouse principles and database structures 

  • 2+ years of experience in extracting insights from large databases, translating data and insights into actionable solutions and presenting findings  

  • Data visualization skills and ability to present technical solutions to non-technical audience (Tableau preferred) 

Soft Skills:  

  • 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   

Typical Physical Demands:  

  • Requires prolonged sitting, some bending and stooping 

  • Occasional lifting up to 25 pounds 

  • Manual dexterity sufficient to operate a computer keyboard and calculator 

  • Requires normal range of hearing and vision 

  • Travel required as needed 

  • On-call availability 

 

Job Function(s): Corporate 

 

Love’s Travel Stops & Country Stores is the industry-leading travel stop network in the United States. For more than 55 years, we’ve provided customers with highway hospitality and “Clean Places, Friendly Faces.” We’re passionate about serving drivers with clean, modern facilities stocked with fuel, food and supplies. We offer meals from popular restaurant chains, trucking supplies, showers and everything needed to get back on the road quickly. The Love’s Family of Companies includes:

  • Gemini Motor Transport, one of the industry’s safest trucking fleets
  • Speedco, the light mechanical and trucking service specialists
  • Musket, a rapidly growing, Houston-based commodities supplier and trader
  • Trillium, a Houston-based alternative fuels expert

 

The Love's Experience

Love’s was founded in 1964 on the values of integrity, customer focus, strong work ethic, innovation and perseverance. We are looking for these in every person we hire. No matter what job you do for Love’s, your commitment to these values will not only continue our legacy of growth, it will also ensure your successful career.


Nearest Major Market: Oklahoma City
Nearest Secondary Market: Oklahoma

Job Segment: Testing, Scientific, Computer Science, Data Warehouse, Information Systems, Technology, Engineering