# Data Scientist, Long-Term Forecast Analytics

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $99,600-$166,600
**Category**: Data Science
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/72748?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7d181d41-63d

## Description

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where **Global Data Insight & Analytics** makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

We are seeking an experienced Data Scientist to join our Long-Term Forecast Analytics with Ford Motor Company.

## Responsibilities

- Develop and analyze future vehicle pricing and volume forecasts against business plans and scenarios, providing recommendations for effective decision-making.

- Create compelling visual representations of data, leveraging effective data storytelling and insights to persuade business partners to act on recommendations.

- Collaborate frequently with peers and business partners on diverse data analysis, studies, and projects.

- Continuously seek improved approaches and methodologies to evolve our advisory support as the business navigates an ever-changing industry landscape.

- Utilize advanced modeling and simulation techniques to generate modeling scenarios to support strategic business decisions, optimizing the performance of Ford Business Units.

- Apply attribution modeling, statistics, optimization, operation research, machine learning, and other advanced techniques to solve real-world business problems.

- Develop analytical methodologies and specify data requirements by translating business phenomena into appropriate mathematical/regression equations.

- Use ‘outside the box’ thinking and modeling to answer difficult questions in an environment with little information and resources.

## Qualifications

**Minimum Qualifications:**

- Education: Graduate Degree in quantitative field (i.e. Statistics, Data Science, Mathematics, Economics, Physics, etc.).

- 3+ years of experience with statistical analysis, data visualization (ex: QlikSense, Tableau, Power BI), data modeling, or optimization.

- Expertise using statistical software (R/Python, etc.), query languages or software, such as Big Query, SQL, Hadoop/Hive, Alteryx along with Microsoft Office programs, especially Excel and PowerPoint.

- Work with the customer to determine the underlying business question / need.

- Be able to quickly convert a real business question into a solvable modeling problem, sort out relevant information, and judge the solution against business reality.

- Apply business acumen to the problem and solution vs. a solely data-based approach.

- Familiarity with Ford’s vehicles, attention to detail, time management, willingness to learn, ability to handle multiple projects at a time, excellent communication and data presentation skills.

- Enabling Ford to keep competitive advantage in terms of state-of-the art business modeling and advanced analytical capabilities.

**Preferred Qualifications:**

- Education: Ph.D. in Statistics, Economics, Applied Mathematics, or similar field.

- Automotive experience is a plus.

- Capable of carrying out independent technical work in close collaboration with business partners is a plus.

## Benefits

- Immediate medical, dental, vision, and prescription drug coverage.

- Paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more.

- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments 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.

- Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day.

## Skills

### Required
- Statistics
- Data Science
- Mathematics
- Economics
- Python
- R
- SQL
- Big Query
- Hadoop/Hive
- Alteryx
- Excel
- PowerPoint
- QlikSense
- Tableau
- Power BI

### Nice to have
- Ph.D. in Statistics
- Applied Mathematics
- Automotive experience

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