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 transition data from its raw form into clean, high-quality data tables.
- Use SQL and data APIs to interact with data stored in various systems, ranging from relational databases to file systems.
- When necessary, apply machine learning or other applicable techniques to enhance the usefulness and reliability of large data sets.
- Collect and curate data needed for research from both internal and external sources.
Advanced Modeling and Analysis:
- Identify and execute projects that provide significant organizational value, focusing on measurable impact.
- Develop mathematical models to maximize service and minimize costs.
- Apply statistical and algorithmic methods including supervised and 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 are easily consumable by technical and nontechnical stakeholders.
- Provide trustworthy guidance and fact-checking for colleagues and project sponsors; offer data-driven insights and recommendations.
Product and Project Management:
- Serve as a key contributor and developer for assigned projects, coordinating team activities and guiding the technical design of data science solutions.
- Participate in brainstorming sessions for new projects, evaluating technical feasibility and establishing project requirements.
- Ensure project sponsors are kept up to date on status, and provide advanced-level development, testing, debugging, and documentation for reliability.
- Quantify the impact of analyses and communicate results; support the design and maintenance of data science tools and reporting related to performance.
- Document, update, and analyze data science production processes to ensure they are routinely represented and actionable.
Project Proposal and Ideation:
- Participate in brainstorming sessions for new data science projects, providing insights from initial data analysis.
- Identify opportunities for data-driven solutions that address business challenges or improve operations while collaborating with stakeholders to refine project ideas.
Mentoring and Team Support:
- Ensure adherence to best practices and quality standards through code and design reviews.
- Assist team members with routine data analysis tasks to alleviate workload and meet project timelines.
- Participate in team discussions, sharing learnings and supporting internal documentation efforts to maintain organized project knowledge.
Position Requirements:
- Master’s degree in Mathematics, Computer Science, Engineering or other quantitative fields.
- 2-5 years of experience with the ability to present complex technical material to executive audiences.
- Proficient in project and product management skills, with a sense of urgency and the ability to work independently.
- Proficiency in MS Office (Excel, Word, PowerPoint), programming languages for statistics and automation (Python), and data-access languages (SQL, PostgreSQL, T-SQL).
- Experience with Alteryx, Amazon Web Services (AWS), and version control approaches for product development (Unit testing, Git, documentation, logging).
- Proficient in statistical modeling and machine learning frameworks (SciPy, Caret, sklearn); familiarity with container services (Rancher, Kubernetes, Docker) and platforms (OBIEE, Salesforce, Google Analytics) 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.
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