We 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?

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.

In this position...

We are looking for a  Data Scientist  to support Design Cost and Complexity Analytics. A successful candidate must have experience in machine learning (ideally MLOps) and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar.

What you'll do...

Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations

Work with large, complex data sets using tools such as SQL, BigQuery, and Python

Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.

Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and feature engineering

Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership

Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers

Develop trust with stakeholders and peers by delivering results on time

Ensure overall quality of the data & solutions throughout the development process

Provide training and maintenance of implemented tools to business partners

Collect feedback from business users and continuously improve analytic products

You'll have...

Bachelor’s degree in Engineering, Statistics, Data Science, Computer Science or a related quantitative discipline

3 years of experience or other significant, independent project experience using Python, Google Cloud Services, and similar tools

3+ years of experience using Python, SQL or BigQuery for acquiring and transforming data

3+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges

1+ years of experience deploying Machine Learning Operations for internal or external use

Experience with GCP or other cloud systems

Comfortable working in an environment where problems are not always well-defined

Well-organized, a self-starter, independent and ready to work with minimal supervision

A respectful and committed teammate, willing to excel and work with talented people

Inquisitive, proactive, and interested in learning new tools and techniques

Proven quantitative modeling and statistical analysis skills

Even better, you may have...

Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field

Knowledge of cost modeling, product design (hardware), mechanical engineering or similar

5+ years of work experience with Python, SQL, and BigQuery

5+ years of work experience in data mining, statistical analysis, modeling, optimization, drift detection or similar machine learning operations

Strong oral, written and interpersonal communication skills

Ability to effectively advocate technical solutions to peer, management and business audiences

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.

This position is a salary grade 8.

For more information on salary and benefits, click here: New Hire Benefits (https://fordcareers.co/GSRnon-HTHD)

Visa sponsorship is 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. 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.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location.

#LI-Hybrid

#LI-MG1

Requisition ID  : 43177

Job Description

We 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 worldtogether. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

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.

In this position...

We are looking for a  Data Scientist  to support Design Cost and Complexity Analytics. A successful candidate must have experience in machine learning (ideally MLOps) and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar.

What you'll do...
Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations
Work with large, complex data sets using tools such as SQL, BigQuery, and Python
Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.
Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and feature engineering
Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers
Develop trust with stakeholders and peers by delivering results on time
Ensure overall quality of the data & solutions throughout the development process
Provide training and maintenance of implemented tools to business partners
Collect feedback from business users and continuously improve analytic products
You'll have...      Bachelor's degree in Engineering, Statistics, Data Science, Computer Science or a related quantitative discipline
3 years of experience or other significant, independent project experience using Python, Google Cloud Services, and similar tools
3+ years of experience using Python, SQL or BigQuery for acquiring and transforming data
3+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges
1+ years of experience deploying Machine Learning Operations for internal or external use
Experience with GCP or other cloud systems
Comfortable working in an environment where problems are not always well-defined
Well-organized, a self-starter, independent and ready to work with minimal supervision
A respectful and committed teammate, willing to excel and work with talented people
Inquisitive, proactive, and interested in learning new tools and techniques
Proven quantitative modeling and statistical analysis skills
Even better, you may have...     Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field
Knowledge of cost modeling, product design (hardware), mechanical engineering or similar
5+ years of work experience with Python, SQL, and BigQuery
5+ years of work experience in data mining, statistical analysis, modeling, optimization, drift detection or similar machine learning operations
Strong oral, written and interpersonal communication skills
Ability to effectively advocate technical solutions to peer, management and business audiences
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.

This position is a salary grade 8.

For more information on salary and benefits, click here: New Hire Benefits

Visa sponsorship is 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. 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.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location.

#LI-Hybrid

#LI-MG1

Data Scientist

We 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?

In this position...

Ford is redefining how it will build a better world for the future by creating a culture and opportunities where employees will capitalize on Ford’s excellence in designing and building the most iconic products while also helping develop the future of world-class connected Battery Electric Vehicles (BEV). We call this new business Model e. The creation of Model e was informed by the success of small, passionate Ford teams that developed the Mustang Mach-E SUV and F-150 Lightning pickup, as well as Ford’s dedicated EV division in China. Similarly, dedicated teams within Model e will create the software platforms and fully networked vehicle architectures to support delightful, always-on and ever-improving vehicles and experiences that will allow us to deliver over 50% of our total sales in BEV and 33 million connected vehicles by 2030. We are building a team of the world’s best software, electrical and automotive talent and turning them loose to create shockingly great electric vehicles and digital experiences for new generations of customers. These changes in our business will allow us the greatest opportunity to bring value and serve customers since Henry Ford scaled the Model T.

What you'll do...

This role will provide you with a unique opportunity to build a data and analytics ecosystem to drive important GTM use cases within the recently launched Model e business. The Data Scientist will drive and lead building, maintaining, and refining the machine-learning capabilities that will be the core of Model e’s new business decisions, including dynamic pricing, dynamic service pricing, dynamic subscription pricing, etc.

The Data Scientist will be an integral part of the GTM technical team for the Model e business. Reporting to the Head of Global Pricing & GTM Data Science, this person will lead critical projects in the pipeline that will shape the future of Ford Model e.

The Data Scientist will build and maintain data science and analytics capabilities that will be central to Model e’s Pricing and GTM requirements. This technical leader will interface directly with Ford’s Global Data Insights & Analytics team (GDIA) as well as with Ford IT to build and advance the frontiers of Model e’s go-to-market model (e.g., dynamic service pricing models, subscription pricing models, etc.) and will be critical to unlocking sustainable value creation for Ford’s Model e EV business.

The Data Scientist will have a strong technical background, with experience building digital products from concept through to deployment. The ideal candidate will have strong data science capabilities (Python, SQL, Airflow, ML algorithmic techniques), experience working on cloud-based systems (ideally Google Cloud) as has worked in a business context where translating business requirements into technical solutions was essential.

They will be a natural problem solver and strategist who will enjoy working in an entrepreneurial environment and stitching together components from the traditional Ford business with transformational ideas and concepts to drive the Model e go to market strategy. They will have the ability to build critical relationships and work cross functionally with members of marketing, sales, finance, GDIA, IT, etc. As a technical leader they will mentor junior team members and help build a culture of trust and a sense of belonging, accountability, speed, and the ability to constructively challenge each other. They will have a strong bias to action, iterate quickly and have fun while doing the best work of their career.

You'll have...

•Bachelor’s degree in an appropriate field of study

•3+ years of experience, with specific focus on data science and machine learning

Technical qualifications:

-3+ years of DS experience with end-to-end cloud-based development (develop, test, industrialize, deploy), Google Cloud preferred

-3+ years of Coding experience with Python modeling, with demonstrated ability to go from concept through to implementation.

-Experience with Pandas, Scikit learn, and NumPy packages as well as ensemble-based ML algorithms (e.g., random forest, gradient boosted trees) and Deep Learning algorithms (e.g., RNNs, CNNs, GANs). Expertise in time series modeling. Working knowledge of natural language processing and anomaly detections.

-3+ years of SQL experience for data manipulation/data engineering

Even better, you may have...

•Master’s degree, PhD, or MBA in an appropriate field of study

•North America and global experience

•Tangible experience with the full life cycle of building digital solutions (from PoC through to Production)

•Relevant experience linking business requirements to digital product development

•Record of accomplishment working DevOps and agile (vs. waterfall approach)

Disruptor – willing to push for change

•Challenger mindset – ability to push past status quo & obstacles to implement vision

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.

This position is a salary grade 8.

For more information on salary and benefits, click here: https://fordcareers.co/GSRnon-HTHD (https://urldefense.com/v3/__https:/fordcareers.co/GSRnon-HTHD__;!!N_LtwI-RPugbI9wg0dJn!AO0JykadWbBhHx0Rz34XIRlrG2nvZ-UmaR5M40X_I-msmIORk352pb3W8Ef3jdMrFAzAJsdp6K_A_Blz_Q$)

Visa 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. 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-Remote #LI-KJ1

JD missing, template provided to have by discovery call.

JD missing, template provided to have by discovery call.

Requisition ID  : 42535

IWe 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?

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.

In this position...

As an  Data Scientist  in Manufacturing Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Manufacturing to align with their needs and processes to ensure relevancy of products.

What you'll do...

Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics.

Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.

Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.

Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs.

Act as a consultant to the business vs. an order taker.

Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.

You'll have...

Bachelor’s Degree in Data Science, Computer Science, Applied or Mathematical Statistics, or a closely related Engineering degree with a Data Science major.

2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis

1+ year of experience delivering analytics solutions

1+ year experience with Agile team methodology

Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization

Even better, you may have...

Master’s degree or PhD preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field

Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory)

Proven experience with developing data products/solutions to support analytic applications in Ford’s data ecosystem

Experience with Product Driven Operating Model or Agile Product Development Process

Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users

Comfortable working in an environment where problems are not always well-defined

Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner

Well-organized, independent, and ready to work with minimal supervision

Inquisitive, proactive, and interested in learning new tools and techniques

Demonstrated hands on experience with deploying data products and/or analytic models in Ford’s on-prem and/or Google Cloud Platform

Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners

Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc.

Thorough understanding of the ‘Common Data Model’ standard published by Manufacturing

Understanding of the IIoT Platform architecture including MQTT

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.

This position is a salary grade 8.

For more information on salary and benefits, click here: New Hire Benefits (https://fordcareers.co/GSRnon-HTHD)

Visa sponsorship is 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. 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-Hybrid

#LI-MG1

Requisition ID  : 43121

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