Data Scientist

Ford Motor • Dearborn, MI

23h • 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. 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 - 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 anticipated worksite. Hence, the employee must live within a reasonable commuting distance from the anticipated worksite. Develop and maintain advanced analytics capabilities essential for pricing and go-to-market strategies, including product allocation, distribution, and mix optimization. Collaborate with Ford’s Global Data Insights & Analytics and IT teams. Utilize Python, SQL, and machine learning, alongside experience with cloud platforms, including Google Cloud. Translate business requirements into effective technical solutions. Apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operation research/optimization, data science, machine/deep learning techniques to a variety of real-world business problems within automotive industry focusing on marketing and sales area. Enable evidence-based decision making by extracting, managing, and exploring a variety of data sources and extracting insights from structured and unstructured data sets that are often large and high-dimensional. Identify new and novel data sources and explore their potential use in developing actionable business insights and ensure overall quality of the data and solutions throughout the analytics development process. Maintain and enhance existing econometrics models supporting business daily decisions and integrate validation results and visualize analysis/prediction result through visualization tools to provide qualitative overview. Assist in communicating and presenting models and analytical results to business customers and upper management and collaborate with other teams within GDIA in the model development and delivery processes.

Requirements

• Master’s degree or foreign equivalent in Industrial and Operations Engineering, Computer Science, Systems Engineering, Manufacturing Engineering or a related field and 3 years of experience in the job offered or a related occupation.
• 2 years of experience with each of the following skills is required: 1. Utilizing Python for data analysis, scripting, and software development tasks. 2. Utilizing SQL for querying, managing, and optimizing relational databases. 3. Applying mathematical optimization techniques to solve complex decision-making and resource allocation problems. 4. Applying machine learning algorithms and models to analyze data, build predictive systems, and enhance decision-making. 5. Utilizing exploratory data analysis (EDA) techniques to uncover patterns, identify anomalies, and generate insights from datasets. 6. Applying stochastic optimization methods to optimize processes and systems under uncertainty and probabilistic conditions.
• 1 year of experience with the following skill is required: 1. Utilizing Google Cloud platform services for deploying, managing, and scaling applications and data workflows in the cloud.

Responsibilities

• Develop and maintain advanced analytics capabilities essential for pricing and go-to-market strategies, including product allocation, distribution, and mix optimization.
• Collaborate with Ford’s Global Data Insights & Analytics and IT teams.
• Utilize Python, SQL, and machine learning, alongside experience with cloud platforms, including Google Cloud.
• Translate business requirements into effective technical solutions.
• Apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operation research/optimization, data science, machine/deep learning techniques to a variety of real-world business problems within automotive industry focusing on marketing and sales area.
• Enable evidence-based decision making by extracting, managing, and exploring a variety of data sources and extracting insights from structured and unstructured data sets that are often large and high-dimensional.
• Identify new and novel data sources and explore their potential use in developing actionable business insights and ensure overall quality of the data and solutions throughout the analytics development process.
• Maintain and enhance existing econometrics models supporting business daily decisions and integrate validation results and visualize analysis/prediction result through visualization tools to provide qualitative overview.
• Assist in communicating and presenting models and analytical results to business customers and upper management and collaborate with other teams within GDIA in the model development and delivery processes.

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
• Number of Employees: 5,001-10,000 employees