Data Scientist developing advanced statistical models and algorithms for retail insights at Walmart. Collaborating across divisions to enhance operational analytics and data - driven decision making.
About the role
- AI Engineer/Data Scientist in Ford's Global Data Insights & Analytics team. Developing advanced AI/ML solutions and collaborating on cloud-native data products.
Responsibilities
- Acquire deep understanding of the business problems and translate them into appropriate business solutions
- Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google CloudPlatform (GCP).
- Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, anomaly detection, optimization, LLM, and more.
- Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development.
- Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
- Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.
Requirements
- Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
- Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
- 3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment.
- 2+ years of experience in Google cloud platform with solutions designed and implemented at production scale
- 2+ Experience working with for scheduling and orchestration of data pipelines
- Expertise in SQL for data querying, manipulation, and database interaction.
- Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
- Experience with containerization (e.g., Docker), constructing REST APIs using frameworks like Flask or FastAPI,, and adherence to best software development practices (e.g., version control, testing).
- Excellent oral, written, and interpersonal communication skills.
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.
Job title
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