Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Data Science Analyst leveraging data and advanced analytics to drive business success at Ford. Collaborating with engineering teams to develop analytics products and optimize delivery via Google Cloud.
Responsibilities
- Use knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals.
- Develop analytics products using expertise in visualization, AI/ML, Statistics and Optimization.
- Collaborate with Data Engineers and Software Engineers to develop robust analytics products.
- Use knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value.
- Interact with business partners in Complexity to align with their needs and processes.
Requirements
- Master’s degree in Computer Science or relevant Master's of Science degree
- 2+ year experience hands-on experience with mathematical programming or Software engineering
- Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization
- 1+ year of experience delivering analytics solutions
- 1+ year experience with Agile team methodology
Benefits
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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