In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise’s known goals, reveal hidden opportunities, and achieve data superiority.
The GDIA Cost Efficiency Analytics team develops data products, analytic software and provides insights to a broad range of skill teams and delivers value to Ford using critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques.
As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals.
You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures.
You will collaborate with Data Engineers and Software Engineers to develop robust analytics products.
You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value.
You will interact with business partners in Cost efficiency analytics to align with their needs and processes to ensure relevancy of products.

Requirements

Master’s degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of relevant education and experience
5+ years of hands-on experience with Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis
3+ years of experience delivering analytics solutions
3+ years of experience with Agile team methodology
PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field
Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory)
Proven experience with developing data products/solutions to support analytic applications in Ford’s data ecosystem
Experience with Product Driven Operating Model or Agile Product Development Process
Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users
Comfortable working in an environment where problems are not always well-defined
Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner
Well-organized, independent, and ready to work with minimal supervision
Inquisitive, proactive, and interested in learning new tools and techniques
Demonstrated hands on experience with deploying data products and/or analytic models in Ford’s on-prem and/or Google Cloud Platform
Demonstrated experience to translate real-world business problems into analytical formulations and interpret analytics results with non-analytics business partners
Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc.
Thorough understanding of the ‘Common Data Model’ standard published by Manufacturing.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLmachine learningartificial intelligenceoptimization techniquesstatistical analysisdata visualizationmathematical programminganalytics solutionsdata products

Soft Skills

critical thinkinginterpersonal skillsleadership skillscommunication skillsorganizational skillsindependenceproactivityproblem-solvingteam collaborationadaptability

Certifications

Master’s degree in Data ScienceMaster’s degree in EngineeringMaster’s degree in Operations ResearchMaster’s degree in Industrial EngineeringMaster’s degree in StatisticsMaster’s degree in MathematicsMaster’s degree in Computer SciencePhD in Data SciencePhD in EngineeringPhD in Computer Science