Data Scientist Supply Chain Optimization

Dearborn, MI - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Description

We are looking for a Data Scientist to pioneer in optimizing Fords service supply chain. A successful candidate must have experience in Statistics AI/ML and Operations Research solving various operations problems such as supply chain. The ideal candidate will effectively interface between technical and business teams working through data challenges building models and refining model results using feedback.
This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. We value being Smart. Nice. Curious. Communicative.

Responsibilities

What youll do:
Acquire deep understanding of supply chain processes formulate problems and translate them into appropriate mathematical or modeling requirements
Work with large and small complex data sets using tools such as SQL BigQuery and Python
Identify data processing requirements for models clean assess validity and completeness of data samples from multiple sources
Develop/maintain model deployment pipeline on GCP
Contribute and review code for our code base in GitHub in object-oriented programming manners following appropriate software engineering practices (e.g. modular design testing version control)
Deliver insights models and tools using statistical analysis sample validation machine learning algorithm design and feature engineering
Interpret analysis and modeling results and communicate them to technical and non-technical audiences cross-functional teams and leadership
Interact and work cross-functionally with a variety of data scientists business analysts data engineers software engineers and product managers
Develop trust with stakeholders and peers by delivering quality results on time
Communicate complex analysis/model results through clear storytelling and visualization to both technical and non-technical audiences
Ensure overall quality of the data & solutions throughout the development process
Provide training and maintenance of implemented tools to business partners
Collect feedback from business users and continuously improve products

Qualifications

The minimum requirements we seek:
Bachelors degree in engineering Statistics Data Science Engineering Economics Mathematics Data Science Data Analytics Operations Research or similar technical field or a related quantitative discipline.
3 years of experience using Python SQL or BigQuery for acquiring and transforming data
3 years of experience building and applying complex models in supply chain / operations management (e.g. timeseries modeling forecasting inventory optimization service parts planning logistics/distribution)
3 years of experience in technical expertise across statistics machine learning AI operations research (optimization and/or simulation) with rigorous model validation (e.g. backtesting sensitivity/scenario analysis with respect to impacts to cost and customer
3 years of experience using Cloud Services ideally Google Cloud Platform including BigQuery Dataform Cloud Run Cloud Build for productionizing models
5 years of experience with real-world data data cleaning and processing for modeling data collection or other data wrangling challenges
Comfortable working in an environment where problems are not always well-defined
Well-organized a self-starter independent and ready to work with minimal supervision
A respectful and committed teammate willing to excel and work with talented people
Strong story telling skills to get buy-ins from leadership across and carry out the vision
Inquisitive proactive and interested in learning new tools and techniques

Even better you may have...

Masters or PhD in quantitative fields such as Statistics Engineering Economics Mathematics Data Science Data Analytics Operations Research or similar technical field.
Deep expertise with scaling approaches for large scale machine learning/optimization/simulation problems
Experience with inventory and service parts planning (e.g. multi-echelon service-level constraints lead time variability) building Data Science solution and realize quantified
Experience operationalizing models into production workflows (APIs scheduled pipelines monitoring/alerting production support).
Experience with Docker best practices and production-grade CI/CD and release management on GCP
Proven track record influencing stakeholders and driving adoption of analytics products in an operational business environment

You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!

As an established global company we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe or keep you close to home Will your career be a deep dive into what you love or a series of new teams and new skills Will you be a leader a changemaker a technical expert a culture builderor all of the above No matter what you choose we offer a work life that works for you including:

Immediate medical dental vision and prescription drug coverage

Flexible family care days paid parental leave new parent ramp-up programs subsidized back-up child care 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

A generous schedule of paid holidays including the week between Christmas and New Years Day

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

For a detailed look at our benefits click here: Benefit Summary

This role is on site in Dearborn MI you will be required on-site 4x a week.

*Visa Sponsorship IS provided for this specific role*

*Relocation assistance Is provided for this specific role*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race religion color age sex national origin sexual orientation gender identity disability status or protected veteran the United States If you need a reasonable accommodation for the online application process due to a disability please call 1-.

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DescriptionWe are looking for a Data Scientist to pioneer in optimizing Fords service supply chain. A successful candidate must have experience in Statistics AI/ML and Operations Research solving various operations problems such as supply chain. The ideal candidate will effectively interface between...

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