# Product Manager & Data Science Supervisor

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $193,149.00 - $214,986.00/yr
**Category**: IT
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/65649?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a2ed061c-3b5

## Description

At Ford Motor Company, we believe freedom of movement drives human progress.

Join our Global Data Insight & Analytics team as a Product Manager & Data Science Supervisor and use your data expertise and analytical skills to drive evidence-based decision making.

## Responsibilities

- Supervise a global cross-functional team composed of data scientists, data analysts, data engineers, product designers, program managers, and software engineers.

- Provide leadership, mentorship, and guidance to ensure effective collaboration and successful delivery of analytics-driven solutions and product initiatives.

- Foster an environment of open communication and teamwork, facilitating alignment across diverse technical and business disciplines to achieve organizational goals and continuous improvement.

- Work closely with stakeholders throughout Ford Operations/Enterprise to identify opportunities to improve process optimization and efficiency via data-driven approaches.

- Lead, coordinate, and communicate work across multiple teams.

- Organize large datasets and get actionable insights for business.

- Apply data mining, data transformation, and develop statistical, optimization, and machine learning models.

- Create meaningful data visualization, outputs files and presentations to communicate findings with stakeholders.

- Work with IT to implement analytics tools into a production environment.

- Develop analytic models using skills such as data wrangling, algorithm design, prototype and deployment.

- Support cross-function teams on Reductive Design decisions with insights gained from analytics tools and visualization from the data.

- Problem formulation for Reductive Design problems.

- Acquire a deep understanding of business problems, define the problem scope from business requests and translate business requirements to analytical projects through Design Thinking.

- Work effectively with a wide range of stakeholders and functional teams.

- Interpret results and communicate them to technical and non-technical audiences, cross functional teams, and executive leadership.

- Support ad hoc requests and serve as insight provider/consultant for business units.

- Have ownership of the project, create a project plan, track project progress, and host user group meetings.

- Run efficient SQL to process TB-level datasets.

- Design a visual interface for users to interact with the data, or persuading visualization.

- Provide training and maintenance of implemented tools to stakeholders.

- Build advanced analytics models in the supply chain space.

## Qualifications

- Master's degree or foreign equivalent in Data Science, Mathematics, Applied Statistics, Computer Science, Mechanical Engineering, Operations Research or a related field and 3 years of experience in the job offered or a related occupation.

- 3 years of experience with each of the following skills:

- Programming languages, Python or R, and SQL for complex data transformation and analysis.

- Applying machine learning, statistical modeling, and deep learning techniques to solve business problems and inform product development.

- Leveraging cloud platforms and big data technologies for scalable data solutions.

- Developing, fine-tuning, and deploying large language models (LLMs) for NLP tasks, including text classification, summarization, and conversational AI.

- Communicate complex technical findings and business impacts to diverse technical and non-technical stakeholders.

- Managing project timelines, scope, and resource allocation within Agile environments.

- UX principles and the end-to-end software development lifecycle.

- Version control tools and product management tools (Jira, Confluence, or Figma).

- Defining and executing product requirements and roadmaps, including the creation of product documentation and user stories.

## Benefits

- Immediate medical, dental, and prescription drug coverage

- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

- Vehicle discount program for employees and family members, and management leases

- Tuition assistance

- Established and active employee resource groups

- Paid time off for individual and team community service

- A generous schedule of paid holidays, including the week between Christmas and New Year's Day

- Paid time off and the option to purchase additional vacation time.

## Skills

### Required
- Python
- R
- SQL
- Machine Learning
- Statistical Modeling
- Deep Learning
- Cloud Platforms
- Big Data Technologies
- NLP
- Agile Environments
- UX Principles
- Version Control Tools
- Product Management Tools

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