Associate Data Scientist
About The Position
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 an Associate Data Scientist, your essential job functions will include managing large datasets by diving deep into data, utilizing programming tools to cleanse large structured and unstructured data sets, applying transformation techniques to move data from its raw form to usable data tables, and using SQL and data APIs to interact with data stored in various systems. You will also apply machine learning or other applicable techniques to enhance the usefulness of large data sets and collect and curate data needed for research, especially data that is external to the organization. You will also be responsible for advanced modeling and analysis, iteratively, efficiently and effectively executing assigned projects, developing mathematical models, and applying 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. You will ensure a deep level of knowledge for assigned data analytics products and processes, so that internal partners see you as the “go-to” expert in your assigned areas of responsibility. Additionally, you will manage data science products, produce regular reporting and analysis, and ensure reporting is timely and accurate. You will also support the design and maintenance of data science tools and reporting related to data science product performance.
Requirements
- Bachelor’s degree in Business, Mathematics, Computer Science, Engineering or related fields
- 1-2 years of experience -OR- an advanced degree
- Works with a sense of urgency and is able to work independently with minimal supervision
- Ability to deliver under tight deadlines in rapidly changing business environment
- Strong intellectual curiosity and desire to learn about/get exposure to many aspects of the business
- Advanced proficiency in MS Office (Excel, Word, Power Point, VBA)
- Advanced proficiency in programming languages for statistics and automation (90% Python, 10% R)
- Proficient in data-access languages (SQL, PostgreSQL, T-SQL, SOQL)
- Proficient with version control approaches for product development (Unit testing, Git, documentation, logging, etc.)
Nice To Haves
- Advanced degree in a quantitative field strongly preferred
- Familiarity with statistical modeling, supervised and unsupervised machine-learning frameworks (SciPy, Caret, sklearn) is a plus
- Familiarity with AWS Amazon Web Services (Codecommit, S3, Lambda, EventBridge, SystemsManager, CloudWatch, etc.) is a plus
- Familiarity with container services is a plus (Rancher, Kubernetes, Docker)
- Familiarity with OBIEE, Salesforce or Google Analytics platforms is a plus
Responsibilities
- Manage Large Datasets
- 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 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 of large data sets
- Collect and curate data needed for research, especially data that is external to the organization
- Advanced Modeling and Analysis
- Iteratively, efficiently and effectively execute assigned projects
- Develop mathematic models
- 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
- Ensure deep level of knowledge for assigned data analytics products and process, so that internal partners see you as the “go-to” expert in your assigned areas of responsibility
- Manage Data Science Products
- 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
Benefits
- paid time off
- medical
- dental
- vision
- 401k match (50% on the dollar up to 7% of employee contribution)
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
