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Data Scientist - Supply Chain Analytics

$66.1k - $186.62k

Ford Motor Co

Job Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

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.

Responsibilities

What you'll be able to do:

Data Scientist - Supply Chain Analytics - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Design analytical solutions that harness internal and external data, and leverage visualizations, predictive analytics, and prescriptive methods. Collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to define problems, identify data, develop data pipelines, develop machine learning algorithms, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable, transformational benefits to Ford. Evaluate large, complex data sets using tools, including SQL, Hadoop, Alteryx, Python, R, and sophisticated statistical and machine learning techniques, to develop solutions for real world, non-routine, large-scale analytics problems. Develop and deliver business solutions using skills, such as data acquisition, data engineering, programming, and visualization, as well as design intuitive visual interfaces for users to interact with data. Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface development. Interpret modelling results and communicate them to technical and non-technical audiences, cross functional teams, and leadership. Ensure the overall quality of the data solutions throughout the analytic development process.

Qualifications

You'll have...

Bachelor's degree or foreign equivalent in Computer Science, Data Science, Statistics, Chemistry or a related field and 2 years of experience in the job offered or related occupation. 2 years of experience with each of the following skills is required: 1. Develop machine learning algorithm for business requirements using PySpark. 2. Natural language processing from pure text data, for pattern recognition or predictive analytics to help supply chain group to predict future trends and make more informed business decisions. 3. Design proper algorithm and develop or refine analytical models using at least 5 of the following skills: linear regression, logistic regression, generalized linear regression, time series forecasting models, decision tree, regression tree, or random forest. 1 year of experience with each of the following skills is required: 1. Perform Data modelling and Optimization by Formulating and translating detailed business cases into mathematical/statistical problems with mathematical abstractions, and appropriate analytical optimization models. 2. Translation of automotive business problems into appropriate mathematical representations, predictive and optimization models. 3. Python Statistical software packages. 4. Using SQL and Python for acquiring, transforming real-world data, performing data cleaning, data collection or other data wrangling challenges. 5. Working in a connected vehicle environment, experience with VIN-related vehicle attributes and Hands-free driving analytics including vehicle state, weather, terrain, and even road features with connected vehicle sensors.

We are offering a salary of $66,102.00 - $186,624.00/yr.


You may not check every box, or your experience may look a little different from what we've 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 builder...or all the above? No matter what you choose, we offer a work life that works for you, including:

• 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.

For a detailed look at our benefits, click here:

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. 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 status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call View phone number on click.appcast.io.

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Vacancy posted 22 hours ago
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