Data Scientist

• Dive deep into data: utilize programming tools to cleanse large structured and unstructured data sets. Apply transformation techniques to move data from its raw form to usable data tables.
• Use SQL and data API’s to interact with data stored in various systems from relational databases to distributed file systems.
• When necessary, apply machine learning or other applicable techniques to enhance usefulness of large data sets.
• Collect and curate data needed for research, especially data that is external to the organization.

• Leverage methodologies such as the CRISP-DM process to iteratively, efficiently and effectively identify and execute projects with the greatest return.
• Efficiently and expertly utilize the Python and/or R programming languages and the packages frequently leveraged in data science workloads (Pandas, scikit-learn, dplyr, ggplot2, etc.).
• Develop mathematic models that allow the organization to maximize service and minimize costs.
• Apply statistical and algorithmic methods such as hypothesis testing, regression analysis, forecasting, natural language processing, clustering, classification, survival analysis, simulations and optimizations.
• Convert complex analysis into visual presentations that can be easily consumed by staff. 
• Provide data-driven insight—draw valid conclusions and make recommendations.

• Produce regular reporting and analysis; ensure reporting is timely and accurate.
• Support the design and maintenance of analytic tools and reporting related to operational and program-specific metrics.
• Document, update, and analyze business processes, as assigned.  Ensure processes are updated routinely, are appropriately representative and drive action within the organization.

Position Requirements

• Bachelor’s degree in Applied Mathematics, Statistics, Computer Science or other quantitative field. Master’s degree preferred.
• Work-related or class room experience involving quantitative data analysis to solve problems; 1-3 years of work-related experience preferred.
• Proficient in system and data analysis tools including statistical software and programming (R and Python), data access (SQL, AWS) and data visualization (D3.js).
• Advanced proficiency in MS Office – Excel/Word/Access/Power Point required.
• Ability to define problems, collect data and draw valid conclusions.
• Detail oriented problem solver and the ability to multi-task.
• Works with a sense of urgency and is able to work independently with minimal supervision.
• Adaptable, resourceful, and has creative problem-solving skills.

• Results Orientation
• Agility
• Initiative
• Influence
• Customer Focus
•  Motivates Others
•  Delegation
•  Setting Direction
• Resource Optimization  
• Strategic Thinking

Physical Job Requirements

• Continuous viewing from and inputting to a computer screen.
• Sitting for long periods of time.
• Travel as necessary, <10%.

• Dealer Tire is a drug-free environment.  All applicants being considered for employment must pass a pre-employment drug screening before beginning work.