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Job Location: United States
Job Detail:
As an Associate Data Scientist, your essential job functions will include the following:
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
Other Duties as Assigned
Position Requirements
- Bachelor’s degree in Business, Mathematics, Computer Science, Engineering or related fields
- Advanced degree in a quantitative field strongly preferred
- 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.)
- 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
Competencies Required
- 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 background check, drug screening before beginning work.
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