Data Scientist
1 week ago
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
- 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.
- 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
- 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.
- 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
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
- Strategic Acumen
- Critical Thinking
- Agility
- Initiative
- Communication
- Relationship Building
- Continuous viewing from and inputting to a computer screen
- Sitting for long periods of time
- Travel as necessary,
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