176 applicants

Company

Dealer Tire · 1 day ago

Manager of Data Science

United States

Full-time

Remote

Mid, Senior Level

$117K/yr - $150K/yr

5+ years exp

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Senior Management

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Responsibilities

Drive business results by conceptualizing advanced algorithms and mathematic models that align with existing Supply Chain strategy and allow the organization to maximize revenue and profitability

Interact closely with the leadership team to solve issues using data and assess impact of results

Identify formal and informal leaders in other functional areas—build relationships within cross-functional teams that help drive progress of Data Science projects

Provide data and statistics expertise for leadership team—Produce data-driven insights that draw statistically valid conclusions and make actionable recommendations

Convert complex analysis into visual presentations and effectively communicate scenarios, risks and expected results

Serve as lead developer for assigned projects and manage development of applications and tools

Collaborate with subject matter experts to understand nuances or anticipated events that may impact analysis outcomes and ensure efforts are in alignment with the goals of the organization

Foster collaboration and open dialogue with key stakeholders to ensure all parties perceive the need for improvement and have clear expectations for project outcomes

Guide technical design and structuring of software tools that are complex and require a high level of integration with existing systems and reporting—Provide advanced-level development, testing, debugging and documentation skills

Build scalable solutions and balance predictive power and interpretability for the ease of successful implementation—Identify potential risks when using models to drive costly Supply Chain operations

Manage strategic projects

Establish project plans, timeframes, and deliverables according to stakeholder and organization needs

Ensure project sponsors are consistently kept up-to-date on project status

Quantify impact and risk of analyses and changes—ensure appropriate ROI for recommended initiatives

Collect and curate data needed for research, especially data that is external to the organization

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—relational databases to distributed file systems and cloud computing environments

Manage data in manner that protects privacy and confidentiality and upholds contractual obligations

Iteratively, efficiently, and effectively identify and execute projects with the greatest return

Develop mathematic models that maximize Dealer Tire and dealership profitability and inventory while minimizing costs

Apply statistical and algorithmic methods such as hypothesis testing, regression analysis, forecasting, natural language processing, clustering, classification, survival analysis, simulations and optimization

Apply data science approaches such as machine learning (supervised and unsupervised)

Develop, maintain and optimize models in cloud environments with modern approaches

Ensure business units can leverage insights by providing clear, actionable recommendations and analytics, and guidance around measurements

Direct team members to support priorities within the team

Ensure team’s work is delivered in a timely, error-free way, and that relevant stakeholders across the company have been involved and/or apprised of the work, as appropriate

Maintain a level of team performance that builds credibility and trust among leadership

Determine staffing needs, interview candidates, and make recommendations on individual hires

Maintain clear plans for efficiently on-boarding newly hired team members

Communicate expectations/strategic vision to the team and direct team members’ daily activities

Develop deep organizational perspective within the team

Motivate, coach, train, counsel and provide career development for each team member

Monitor performance, conduct annual performance evaluation of each team member and recommend appropriate action such as compensation changes, promotions, counseling and termination

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data Science product managementAdvanced modeling techniquesProgramming languages PythonProgramming languages RAWS SagemakerAWS S3AWS etc.SQLOperations ResearchStatistical modelingMachine learning frameworksAgile work management (Jira)Advanced MS OfficeData APIsVersion control (Git)AlteryxSoft skills LeadershipSoft skills Communication

Required

Master’s degree in Mathematics, Computer Science, Engineering or other quantitative fields

5+ years of experience with end-to-end data-science product management

3+ years of experience in the areas of Operations Research and/or Supply Chain Projects (demand planning & forecasting inventory, optimization, network design, segmentation, and S&OP) in sophisticated and complex environments.

Prior experience in applying data science to supply chain problems required

Effective project management experience with proven results required

Strong ability to present complex technical material to executive audiences

Advanced proficiency in programming languages for statistics and automation (Python or R)

Advanced proficiency in MS Office (Excel, Word, Power Point)

Advanced proficiency with AWS Amazon Web Services (Sagemaker, S3, Lambda, EventBridge, Glue, Step Functions, etc.)

Proficient in data-access languages (SQL, PostgreSQL, T-SQL)

Proficient in agile work management tools (Jira)

Proficient with version control approaches for product development (Infrastructure as code, Unit testing, Git, documentation, logging, etc.)

Works with a sense of urgency and is able to work independently with minimal supervision