Data Scientist

The successful candidate will be a data explorer who embraces data wrangling and discovery, a problem solver who is energized by difficult business problems, a user of statistics who understands advanced modeling frameworks and their limitations, a proven communicator who effectively interfaces between technical and business teams, and a reliable team player . – We value being Smart. Nice. Curious. Communicative.

Our Data Scientists bring data to life to help Ford create must-have, high quality, affordable vehicles. They work collaboratively to design analytical solutions that harness internal and external data, and leverage visualizations, predictive analytics, and prescriptive methods, to help the right decision makers make the right decisions at the right time. As a Data Scientist on the team, you will 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 metrics, create machine learning models, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable, transformational benefits to Ford.

Our team is looking for an analytics practitioner with strong critical thinking skills and experience applying programming, machine/deep learning and statistics.

The minimum requirements we seek :

• Undergraduate’s degree in Statistics, Data Science, Computer Science or a related quantitative discipline
• One year of experience or other significant, independent project experience using at least one statistical software package such as R or Python
  • Experience using SQL for acquiring and transforming data
  • Experience with real-world data, data cleaning, data collection or other data wrangling challenges
  • Comfortable working in an environment where problems are not always well-defined
  • Inquisitive, proactive, and interested in learning new tools and techniques
  • Proven quantitative modeling and statistical analysis skills

Our preferred requirements :

• Master / PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Economics, Mathematics, Data Science, Operations Research
• 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools (such as Angular, React,Tableau, PowerBI or Qliksense)
• 4+ years of work experience in predictive modeling, ML/AI, advanced statistical analysis,data mining, or similar analytics
• Strong oral, written and interpersonal communication skills
• Ability to effectively advocate technical solutions to peer, management and business audiences
• 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
• Work experience in automotive industry is a big plus, as is experience in a procurement, logistics or program management function

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 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 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

Visa sponsorship is available for this position.

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 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-Hybrid

What you’ll be able to do :

• 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