Job Details

ID #52374677
Estado Colorado
Ciudad Denver
Full-time
Salario USD TBD TBD
Fuente Ford Motor Company
Showed 2024-08-23
Fecha 2024-08-24
Fecha tope 2024-10-23
Categoría Etcétera
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Data Science Manager

Colorado, Denver, 80221 Denver USA
Aplica ya

Data Science ManagerWe are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?Launched in 2023, Integrated Services creates and markets new customer experiences by integrating hardware, software and services across Ford Blue, Model e and Ford Pro. These products and services allow Ford's retail and commercial customers to customize their vehicles like never before with OTA (over-the-air)-driven experiences that grow better over time. Ford is developing leadership at the forefront of connected, digital platforms that will revolutionize every aspect of how vehicles function, the way people interact with them, and the value those vehicles provide.What you'll doWe are seeking a highly skilled and experienced Data Scientist to drive the development, deployment, and enhancement of foundational capabilities for Yield Management Advanced Analytics. These include, but not limited to, demand forecasting, segmentation, sensitivity analysis, and optimization efforts. The ideal candidate will have a strong background in data science, advanced analytics, and a proven track record of improving business processes through data-driven decision making. This role will involve assessing existing toolsets, identifying opportunities for innovation & enhancement, and implementing solutions with paramount focus on business impact.Foundational Capabilities for Yield Management:

Development, validation, and implementation of foundational capabilities for Yield Management including demand forecasting, sensitivity analysis, product/customer/market segmentation, optimization, etc.

Collaborate closely with the product development team, and our business stakeholders to identify opportunities for innovation and improvement on these fundamental capabilities.

Build rapid prototypes and test & assess the business utility of these solutions.

Standardize these capabilities, as applicable, across data science use cases and business engagements.

Toolset Assessment and Enhancement:

Conduct comprehensive assessments of existing data science toolsets and methodologies.

Identify gaps and opportunities for improvement in existing tools and processes.

Recommend and implement enhancements to existing tools or adoption of new technologies/algorithms to improve efficiency and effectiveness.

Collaboration and Communication:

Collaborate with cross-functional teams, including sales and marketing, finance, and IT, to gather requirements and ensure alignment on advanced analytics initiatives.

Communicate complex data science concepts and insights to non-technical stakeholders in a clear and actionable manner.

Present findings, recommendations, and progress updates to senior leadership and other key stakeholders.

Data Governance and Quality:

Ensure data integrity, quality, and accuracy in all advanced analytics models and processes.

Implement best practices for data management, including data cleaning, preprocessing, and validation.

Establish and maintain robust documentation for all data science projects and methodologies.

This position is remote unless the candidate lives within 50 miles of Dearborn, MI.You'll have

Bachelor’s in data science, Statistics, Mathematics, Computer Science, Electrical Engineering or a related field of study.

5+ years of experience in a data science role with a focus on demand forecasting and optimization.

5+ years of experience in Python and SQL.

3+ years of experience with machine learning frameworks (e.g., TensorFlow, scikit-learn) and optimization tools.

3+ years of leadership and team management abilities.

3+ years of experience with data visualization tools and embedded application development (e.g., Tableau, Power BI, Looker, Dash, Streamlit).

3+ years of experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Even better, you may have

Master's or Ph.D preferred.

Experience in the manufacturing industries, sales & marketing, Yield Management, Finance

Excellent analytical, problem-solving, and critical-thinking skills.

Exceptional communication and presentation skills.

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

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.

For a detailed look at our benefits, click here:https://fordcareers.co/LL6HTHDVisa sponsorship is not available for this position.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 committed to a culturally diverse workforce. 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.#LI-HybridRequisition ID : 34192

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