Data Scientist - Supply Chain Analytics

Ford Motor • Dearborn, MI

6h • Hybrid

About The Position

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. Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. 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 hybrid position whereby the employee will work both from home and from the Dearborn office. Hence, the employee must live within a reasonable commuting distance from Dearborn, MI. Acquire deep understanding of the business problems and translate them into appropriate mathematical representations. Work with large, complex data sets using tools such as Python, SQL, Google Cloud Services, Hadoop, Alteryx. Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization. Design intuitive visual interfaces for users to interact with the data using dashboard and programming software. Develop and deliver analytic products using skills such as predictive modeling, statistical analysis, machine learning, algorithm design, and interface development. Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership. Interact and work cross-functionally with a wide variety of teams. Develop trust with stakeholders and peers by delivering results on time. Ensure overall quality of the data & solutions throughout the analytic development process. Work with business teams on change management. Provide training and maintenance of implemented tools to business partners. Collect feedback from business users and continuously improve analytic products. Qualifications You'll have... Bachelor’s degree or foreign equivalent in Statistics, Data Science, Computer Science, Quantum Engineering, Nuclear Engineering or related field and 4 years of experience in the job offered or related occupation. 4 years of experience with the following skill is required: 1. Predictive modeling, ML/AI, advanced statistical analysis, data mining, NLP, A/B testing, or design of experiments. 2 years of experience with each of the following skills is required: 1. Python, with at least three of the following visualization/dashboard tools: Angular, React, Tableau, PowerBI, Qliksense, Palantir, Dash, Flask, LAMP (Linux, Apache, MySQL and PHP). 2. Develop analytical models using statistical and machine learning techniques, including linear and logistic regression, generalized linear regression, time series forecasting, decision and regression trees, random forest, LASSO, text mining, and Natural Language Processing. 3. Translate business and operational requirements into mathematical/statistical models by applying optimization methods, predictive modeling, and algorithmic techniques to support process improvement. 1 year of experience with each of the following skills is required: 1. Using R or Python for statistical analysis, modeling formation, feature modulization, and performing pre/post hypothesis testing. 2. Using SQL for acquiring and transforming data. 3. Real-world data, data cleaning, data collection or other data wrangling challenges through R and Python, or Alteryx and GCP native query. We are offering a salary of $107,848.00 - $165,900.84/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: https://fordcareers.co/GSR-HTHD 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 1-888-336-0660. #LI-DNI #DNP

Requirements

• Bachelor’s degree or foreign equivalent in Statistics, Data Science, Computer Science, Quantum Engineering, Nuclear Engineering or related field and 4 years of experience in the job offered or related occupation.
• 4 years of experience with the following skill is required: 1. Predictive modeling, ML/AI, advanced statistical analysis, data mining, NLP, A/B testing, or design of experiments.
• 2 years of experience with each of the following skills is required: 1. Python, with at least three of the following visualization/dashboard tools: Angular, React, Tableau, PowerBI, Qliksense, Palantir, Dash, Flask, LAMP (Linux, Apache, MySQL and PHP).
• 2 years of experience with each of the following skills is required: 2. Develop analytical models using statistical and machine learning techniques, including linear and logistic regression, generalized linear regression, time series forecasting, decision and regression trees, random forest, LASSO, text mining, and Natural Language Processing.
• 2 years of experience with each of the following skills is required: 3. Translate business and operational requirements into mathematical/statistical models by applying optimization methods, predictive modeling, and algorithmic techniques to support process improvement.
• 1 year of experience with each of the following skills is required: 1. Using R or Python for statistical analysis, modeling formation, feature modulization, and performing pre/post hypothesis testing.
• 1 year of experience with each of the following skills is required: 2. Using SQL for acquiring and transforming data.
• 1 year of experience with each of the following skills is required: 3. Real-world data, data cleaning, data collection or other data wrangling challenges through R and Python, or Alteryx and GCP native query.

Responsibilities

• Acquire deep understanding of the business problems and translate them into appropriate mathematical representations.
• Work with large, complex data sets using tools such as Python, SQL, Google Cloud Services, Hadoop, Alteryx.
• Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.
• Design intuitive visual interfaces for users to interact with the data using dashboard and programming software.
• Develop and deliver analytic products using skills such as predictive modeling, statistical analysis, machine learning, algorithm design, and interface development.
• Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership.
• Interact and work cross-functionally with a wide variety of teams.
• Develop trust with stakeholders and peers by delivering results on time.
• Ensure overall quality of the data & solutions throughout the analytic development process.
• Work with business teams on change management.
• Provide training and maintenance of implemented tools to business partners.
• Collect feedback from business users and continuously improve analytic products.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level