Remote Data Scientist Deep Learning Jobs in Michigan

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.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

You'll have...

Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related occupation.  5 years of experience with each of the following skills is required:  1. Utilizing RDBMS technologies including SQL for data mining by writing efficient database queries and applying techniques including indexing, triggers, and other performance optimization methods. 2. Leveraging data visualization tools and Experience on creating customer reporting and dashboards with tools including Qlikview, Business Objects, or Cognos. 3. Utilizing Data warehousing (ETL) and Business Intelligence technologies to implement solutions in big data technologies including Teradata, Hadoop, or Informatica. 4. Performing validation and user acceptance testing for business process solutions. 5. Translating high level design requirements into functional specifications and providing actionable business insights and decision support based on data curation including Informatica and Cognos skills. 6. Designing and implementing large-scale logical, physical, or metadata data models.  3 years of experience with each of the following skills is required:  1. Formulating data management standards and applied data governance practices aligned with data privacy regulations including CCPA and GDPR for large-scale rollouts to internal teams.

We are offering a salary of $140,629.00 - $182,996.64/yr. 

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 the above? No matter what you choose, we offer a work life that works for you, including:

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.

For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD

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. 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.

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Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related occupation.  5 years of experience with each of the following skills is required:  1. Utilizing RDBMS technologies including SQL for data mining by writing efficient database queries and applying techniques including indexing, triggers, and other performance optimization methods. 2. Leveraging data visualization tools and Experience on creating customer reporting and dashboards with tools including Qlikview, Business Objects, or Cognos. 3. Utilizing Data warehousing (ETL) and Business Intelligence technologies to implement solutions in big data technologies including Teradata, Hadoop, or Informatica. 4. Performing validation and user acceptance testing for business process solutions. 5. Translating high level design requirements into functional specifications and providing actionable business insights and decision support based on data curation including Informatica and Cognos skills. 6. Designing and implementing large-scale logical, physical, or metadata data models.  3 years of experience with each of the following skills is required:  1. Formulating data management standards and applied data governance practices aligned with data privacy regulations including CCPA and GDPR for large-scale rollouts to internal teams.

We are offering a salary of $140,629.00 - $182,996.64/yr. EOE.

This Job Notice is posted as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer at the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Take ownership of end-to-end development of data products to support analytics consumption within the Ford Customer Service Division. Translate user needs into actionable data requirements, ensuring the curated data products effectively address business challenges. Lead data analysis and discovery efforts in collaboration with analytics teams to gather comprehensive details and requirements for new data product development. Actively engage stakeholders from cross functional teams throughout the development lifecycle to solicit feedback, enhance product features, and ensure seamless integration into existing systems or processes. Collaborate closely with data scientists, business stakeholders, and other team members to drive profitable growth and enhance customer satisfaction for Ford/Lincoln dealers. Lead architectural design and development of robust data models and data products utilizing GCP BigQuery, Informatica BDM/DEI, EDC, and Data Privacy Management platforms. Develop and execute comprehensive data governance frameworks and security models to ensure data integrity, compliance, and accessibility. Architect and develop scalable product solutions designed for optimal response times and applicability across diverse business cases. Facilitate integration of heterogenous data sources across multiple platforms to support the development and consumption of high-quality complex data products. Deliver impactful data driven solutions to achieve profitable growth and maintain high levels of customer satisfaction. Apply expertise to ensure products are scalable and provide effective solutions for a wide range of business cases with reliable performance. Work collaboratively with cross-functional teams while demonstrating the ability to independently perform tasks and drive projects to successful completion.

What you'll be able to do:

Analytics Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Take ownership of end-to-end development of data products to support analytics consumption within the Ford Customer Service Division. Translate user needs into actionable data requirements, ensuring the curated data products effectively address business challenges. Lead data analysis and discovery efforts in collaboration with analytics teams to gather comprehensive details and requirements for new data product development. Actively engage stakeholders from cross functional teams throughout the development lifecycle to solicit feedback, enhance product features, and ensure seamless integration into existing systems or processes. Collaborate closely with data scientists, business stakeholders, and other team members to drive profitable growth and enhance customer satisfaction for Ford/Lincoln dealers. Lead architectural design and development of robust data models and data products utilizing GCP BigQuery, Informatica BDM/DEI, EDC, and Data Privacy Management platforms. Develop and execute comprehensive data governance frameworks and security models to ensure data integrity, compliance, and accessibility. Architect and develop scalable product solutions designed for optimal response times and applicability across diverse business cases. Facilitate integration of heterogenous data sources across multiple platforms to support the development and consumption of high-quality complex data products. Deliver impactful data driven solutions to achieve profitable growth and maintain high levels of customer satisfaction. Apply expertise to ensure products are scalable and provide effective solutions for a wide range of business cases with reliable performance. Work collaboratively with cross-functional teams while demonstrating the ability to independently perform tasks and drive projects to successful completion.