Data Scientist - Pricing & Product Strategy

Who We Are

We’re Dealer Tire, a family-owned, international distributor of tires and parts established in 1918 in Cleveland, OH. We’re laser focused on helping the world’s largest and most trusted auto manufacturers grow their tire business—in fact, we’ve sold more than 60 million tires to date. We’re a thriving company, and we’re looking for driven individuals to join our team. That’s where you come in!

As a Data Scientist, your essential job functions will include the following:

Manage Large Datasets

• Dive deep into data—utilize programming tools to cleanse, validate, and ensure the quality of large structured and unstructured data sets
• Apply transformation techniques (e.g., missing data, standardizing formats, detecting outliers, duplicate data) to move data from its raw form into clean, high-quality data tables
• Use SQL and data APIs to interact with data stored in various systems from relational databases to file systems
• When necessary, apply machine learning or other applicable techniques to enhance usefulness and reliability of large data sets
• Collect and curate data needed for research, from both internal and external sources

Advanced Modeling and Analysis

• Iteratively, efficiently, and effectively identify and execute projects that provide significant value to the organization focusing on a measurable impact.
• Develop mathematic models that allow the organization to maximize service and minimize costs
• Apply statistical and algorithmic methods such as supervised machine-learning, unsupervised machine-learning, hypothesis testing, regression analysis, forecasting, natural language processing, clustering, classification, survival analysis, simulations and optimizations
• Communicate findings through clear, visual presentations that can be easily consumed by staff and executives, making complex analyses understandable to technical and nontechnical stakeholders.
• Provide data-driven insight—draw valid conclusions and make recommendations
• Provide data-driven insight for internal partners—draw valid conclusions and make recommendations
• Provide trustworthy guidance, fact-checking and advice for colleagues and project sponsors
• Share knowledge and support colleagues to foster a collaborative learning environment, contributing as an integral member of the team.

Product and Project Management

• Serve as key contributor and developer for assigned projects and help coordinate activities of team
• Guide the technical design of data science solutions that involve software tools and models integrated into existing systems and reporting
• Contribute to the ideation and proposal phase for DS projects by participating in brainstorming sessions to evaluate technical feasibility.
• Ensure project sponsors are consistently kept up to date on project status
• Independently interface with client technical teams and business owners to establish project requirements and clearly communicate progress
• Provide advanced-level development, testing, debugging and documentation to ensure that project outcomes are reliable.
• Quantify impact of analyses and changes and communicate these results.
• Produce regular reporting and analysis—ensure reporting is timely and accurate
• Support the design and maintenance of data science tools and reporting related to data science product performance
• Document, update, and analyze data science production processes, as assigned—Ensure processes are updated routinely, are appropriately representative and drive action within the organization

Project Proposal and Ideation

• Participate in brainstorming sessions for new data science projects, providing input based on initial data analysis and identifying potential use cases for machine learning and statistical analysis.
• Assist in researching and presenting examples of similar projects from industry case studies that can support the ideation process.
• Initiate discussions on potential projects by identifying opportunities for data-driven solutions that can address business challenges or improve operations.
• Collaborate with stakeholders to gather requirements and refine project ideas, creating high-level proposals for new data science initiatives.

Mentoring and Team Support

• Ensure software development and statistical approaches adhere to best practices and quality standards through code and design reviews—Participate in solution design, development and implementation using relevant platforms
• Assist team members with routine data analysis tasks, including data cleaning, exploration, and validation, to help alleviate workload and ensure project timelines are met.
• Participate in team discussions, share learnings from completed projects, and support internal documentation efforts to help maintain accessible and organized project knowledge for the team

Other Duties as Assigned

Position Requirements

• Master’s degree in Mathematics, Computer Science, Engineering or other quantitative fields
• 2-5 years of experience
• Ability to present complex technical material to executive audiences
• Proficient with project management and product management skills sets
• Works with a sense of urgency and is able to work independently with minimal supervision
•  Proficiency in MS Office (Excel, Word, Power Point)
• Advanced proficiency in programming languages for statistics and automation (Python)
• Proficient in data-access languages (SQL, PostgreSQL, T-SQL)
• Experience with Alteryx
• Experience with Amazon Web Services (AWS)  
• Proficient with version control approaches for product development (Unit testing, Git, documentation, logging, etc.)
• Proficient in statistical modeling, supervised and unsupervised machine-learning frameworks (SciPy, Caret, sklearn)
• Familiarity with container services is a plus (Rancher, Kubernetes, Docker)
• Familiarity with OBIEE, Salesforce or Google Analytics platforms is a plus

Competencies Required

• Strategic Acumen
• Critical Thinking
• Agility
• Initiative
• Communication
• Relationship Building

Physical Job Requirements

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

Drug Policy

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

Why Dealer Tire: An amazing opportunity to join a growing organization, built on the efforts of hard working, innovative, and team-oriented people. The compensation offered for this position will depend on qualifications, experience, and geographic location. The total compensation package may also include commission, bonus or profit sharing. We offer a competitive & comprehensive benefit package including: paid time off, medical, dental, vision, and 401k match (50% on the dollar up to 7% of employee contribution). For more information on our benefit offerings, please visit our Dealer Tire Family of Companies Benefits Highlights Booklet.

Base Pay Range:

This position is targeted to be closed on:

EOE Statement: Dealer Tire is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act*), or any other legally protected status, with respect to employment opportunities. 

*ADA Disclosure: Any candidate who feels that they may need an accommodation to complete this application, or any portions of same, based on the impact of a disability should contact Dealer Tire’s Human Resources Department to discuss your specific needs. Please feel free to contact us at ADAAAccommodation@dealertire.com or via phone at 833-483-8232.