Senior Data Scientist

Ford • Dearborn, MI

2h • Hybrid

About The Position

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

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.
In this position...
We are looking for a Senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar.
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.

Requirements

• Bachelor’s degree in engineering, Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field or a related quantitative discipline.
• 5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data
• 5+ years of experience using Python, SQL or BigQuery for acquiring and transforming data
• 5+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges
• Experience with sampling and sample assessment techniques when data are not ideal, especially in structured data with data gaps (e.g. statistical design of experiments, factorial experimental design, Latin hypercube sampling, and others)
• 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
• Inquisitive, proactive, and interested in learning new tools and techniques
• Proven quantitative modeling and statistical analysis skills

Nice To Haves

• Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field.
• Knowledge of cost modeling, product design (hardware), mechanical engineering or similar
• Experience deploying Machine Learning in production (ideally MLOps) for internal or external use
• Experience with Google Cloud Platform (GCP) or other cloud systems
• Strong oral, written and interpersonal communication skills
• Ability to effectively advocate technical solutions to peer, management and business audiences

Responsibilities

• Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations
• Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python
• Contribute and review code for our code base in GitHub
• Make sense of, clean, and assess validity and completeness of data samples from Ford’s products, services, and supply chain.
• Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering
• Interpret 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 hardware engineers, software engineers, and product designers
• Develop trust with stakeholders and peers by delivering results on time
• 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 analytic products
• Mentor more junior data scientists by being a role model and advisor on the above tasks
• Find areas to lead and innovate as a Senior Data Scientist on the team

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, 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
• 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