Analytics Scientist

Ford Motor•Dearborn, MI

2d•$130,881 - $169,538•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. The people of Ford Motor Credit Company have a 60-year commitment to helping put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to five thousand dealers and more than four million customers in over 100 countries around the world. If you’re customer-focused, driven and seeking the opportunity to experience exciting challenges and growth, look no further.

Requirements

Master’s degree or foreign equivalent in Computer Science, Statistics, Biostatistics, Mathematics, Economics, Operational Research, Physics, Computer Engineering or a related field and 3 years of experience in the job offered or a related occupation.
3 years of experience with each of the following skills is required: 1. Utilizing Python (Pandas, ScikitLearn, Statesmodels, and XGBoost) for data process and model development.
2 years of experience with each of the following skills is required: 1. Utilizing SQL for data extraction and feature engineering from multiple platforms including Google Cloud Platform, Hadoop, Teradata, PC, and Mainframe. 2. Communicating statistical and technical topics to non-technical business partners.
1 year of experience with each of the following skills is required: 1. Utilizing cloud platform (GCP and AWS) to conduct model development. 2. Researching and adapting new python algorithm/packages to build business solutions. 3. Banking/credit risk management. 4. Utilizing Statistical and Machine Learning Model Development to support business decisions in credit risk analysis.

Responsibilities

Engage with business teams to understand their business problems, identify data needed, design approaches and develop sound analytic solutions and models using advanced analytics including AI/ML.
Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix/Linux, Teradata).
Utilize new methodologies including deep learning and LLM to create innovative business solutions and automate business procedures to improve efficiency.
Develop statistical/predictive models and APIs per business need.
Develop tracking methodologies, metrics and reports to monitor model accuracy and evaluate performance.
Prepare analysis to test and compare competing methodologies.
Reply to business Ad Hoc requests.
Review models, including model documentation, model results, and code.
Effectively communicate and present technical material to analytics team, business customers and executives.
Work with deployment, business, and legal teams to support the deployment models in production and all tasks related to successful launch of models.
Ensure good model governance practices are satisfied.
Ensure desk procedures are maintained and followed, and data retention standards are met.
Provide technical reviews of department analytic projects as a member of the Analytic Technical Review Committee.

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.

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