37 Data Analysis jobs in Walled Lake

Job Description

Job Description

Company Description

Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide.

Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.

Job Description

HOW YOU WILL MAKE AN IMPACT

The Data Analysis Software Intern will be responsible for, but not limited, to the following:

• Create and maintain PowerBI visualization reports
• Design and document automated data analysis pipelines
• Document data sources used in the analysis
• Maintain and improve a Microsoft Excel Add-In in C#
• Develop applications for process automation and standardization
• Develop and maintain a timing plan for the above topics
• Maintain meeting minutes and schedule of tasks
• Assistance with other tasks as needed and determined by management

Qualifications

WHAT YOU BRING TO THE ROLE 

• Must be currently enrolled in a US accredited degree program pursuing a bachelor’s or master’s degree in Computer Science, Computer Engineering or equivalent
• Must have and maintain a minimum GPA of 3.2
• Minimum Sophomore standing or higher
• Programming experience in C#, VBA or similar
• Practical knowledge of visualization tools, such as Excel or PowerBI
• Strong debugging and troubleshooting skills
• Interpersonal and organizational skills - must work well on team
• Excellent English (oral and written) communication skills – must be able to communicate clearly and effectively in person, conference calls and in writing
• Proficient in Microsoft Office products (Excel, Outlook, Word, PowerPoint)
• This is a year-long internship: Up to 40 hours a week during normal business hours (Monday - Friday) over the summer break and a minimum of 20 hours per week while in school.

AUMOVIO is not able to pay relocation expenses for this opportunity

Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening

Additional Information

EEO-Statement:

EEO / AA / Disabled / Protected Veteran Employer. AUMOVIO offers equal employment opportunities to all qualified individuals, without regard to unlawful consideration to race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, veteran status, or any other status protected by applicable law. In addition, AUMOVIO complies with government regulations where they apply. To be considered, you must apply for a specific position for which AUMOVIO has a current posted job opening. Qualifying applications will be considered only for the specific opening(s) to which you apply. If you would like to be considered for additional or future job openings, we encourage you to reapply for other opportunities as they become available. Further, AUMOVIO provides reasonable accommodations to qualified individuals with a disability.

Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.

**Job Description**
**Work Arrangement**
**Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**The Role**
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.
As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.
**What You'll Do (Responsibilities)**
+ Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework
+ Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results
+ Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance
+ Assess bias estimation and subsampling strategies used by system engineering
+ Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework
+ Conduct statistical analysis to evaluate ADS driving software aggregate measures
+ Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements
+ Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations
+ Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally
**This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate**
**Your Skills & Abilities (Required Qualifications)**
+ M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
+ Expertise in statistical modeling, machine learning and/or deep learning techniques
+ Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods
+ Expertise generating insights from multiple large-scale datasets
+ Proficiency in SQL and Python
+ Experience with data visualization tools and techniques
+ Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
+ Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
**What Will Give You a Competitive Edge** **(Preferred Qualifications)**
+ PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ Experience in safety, automotive, or robotics data science is preferred
**Compensation:**
+ The expected base compensation for this role is $160,200- $245,400 USD Annually
+ Actual base compensation within the identified range will vary based on factors relevant to the position
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Job Description

Job Summary

The Director of Business Intelligence (BI) leads data strategy, selects and implements BI tools and platforms that meet the organization's needs. This includes ensuring data security and compliance, overseeing data warehouse architecture and design, and managing the integration of new technologies and tools. The Director of BI oversees the design and management of data systems and drives data-driven decision-making by transforming raw data into strategic business insights. Key responsibilities include setting the data and analytics strategy, leading BI development teams, managing data architecture and governance, ensuring data quality, and collaborating with stakeholders to align BI initiatives with business goals and foster a data-centric culture.

Key Responsibilities

· Strategic Leadership: Develop and execute a comprehensive data and analytics strategy that aligns with overall business objectives.

· Data Architecture & Engineering: Oversee the design, development, and implementation of data warehousing and data engineering solutions to optimize data utilization.

· Reporting & Analytics: Lead the creation of advanced reports, dashboards, and analytical tools to provide actionable insights for business growth and operational efficiency.

· Data Governance & Quality: Establish and enforce data governance policies to ensure data integrity, security, and consistency across the organization.

· Team Management: Lead, mentor, and develop a team of data analysts and engineers, providing hands-on guidance and fostering a collaborative environment.

· Stakeholder Collaboration: Partner with business leaders and other stakeholders to understand data needs and deliver user-friendly analytics solutions that support decision-making.

· Technology & Innovation: Keep abreast of emerging BI technologies, such as AI and machine learning, and recommend improvements and innovative solutions.

· Technical Debt Management: Identify and resolve technical debt within BI systems to improve performance and efficiency.

Education and Experience

· Bachelor’s or master’s degree in a related field such as Computer Science, Engineering, or Data Analytics.

· 5-8 years of experience in data analytics or BI, with several years in a leadership or management role.

Required Skills and Abilities

· Proficiency in BI tools (e.g., Tableau, Power BI), data warehousing, SQL, data modeling, and emerging technologies like AI. Experience in Domo Preferred.

· Experienced leader with strong ability to lead and motivate teams, manage projects, and collaborate effectively with cross-functional departments.

· A deep understanding of how data can be leveraged to drive business growth and strategic advantage.

Physical Requirements

· Travel as needed; primarily work from home.

· Prolonged periods sitting at a desk and working on a computer.

· Must be able to lift up to 15 pounds at times.

Job Description

Job Description

Responsibilities

• Overseeing system performance, administration, and troubleshooting data and issues
• Creating a backup and safeguarding the data; ensure data accuracy for all financial cycles approved
• Performing system upgrades following new releases
• Maintaining internal documentation
• Performing account setup and update Hierarchy Structures as Required
• Update Data Imports and Processes as Required
• Update Reports & Templates as Required
• Creating Enhancements as needed
• Continues improvements and identify efficiencies within the connected external files
• Testing improvements/upgrades within the tool
• Supporting both the IT Finance team and the Project Controlling team with any ad-hoc requests
• Running and troubleshooting the daily system processes
• CISM Ticket management for all Prophix access requests
• Working with the Customer Care Center to ensure active directory administration.
• Training and supporting teams on all relevant Prophix topics and creation of reports

Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Job Description

Job Description

Global Information Technology is a Professional IT training and consulting services corporation that has been in business since 1999. Global Information Technology committed to providing students with the necessary skills and attitudes to secure employment in their field of training. We have an urgent need for Data Science/Python Instructor to teach our students on weekdays/weekends, Saturday only. This opportunity is for GC and US citizens only.

Required Skills:

• Excellent presentation skills and the ability to interact professionally with students
• Strong verbal and written skills
• 4+ years in Data Science Strong familiarity with SQL, Tableau, and other tools. Experience using r/Python and other statistical tools.
• Certifications Desirable.
• Four years of related work experience.
• Strong verbal and written skills
• Familiarity with adult learning principles and practices
• Learner-focused service orientation and commitment to quality in all aspects related to content delivery
• Ability to multitask effectively and possess excellent time management and organizational skills
• Bachelor's degree and teaching experience a plus not required.

Please send your resume to

Job Posted by ApplicantPro

Senior Scientist, Data Science - Hybrid
Requisition Id:
Business Unit: Corporate
Location:
Ann Arbor, MI, US, 48105
**What you'll need to succeed as Senior Scientist, Data Science at XPO**
Minimum qualifications:
+ Bachelor's degree or equivalent related work or military experience
+ 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization
+ Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects
+ Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning
+ Strong communication skills with a knack for translating complex AI concepts into clear business insights
Preferred qualifications:
+ Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
+ A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field
+ years of hands-on experience in developing and deploying optimization solutions
+ 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.
+ Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue
+ Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling
+ Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience
+ Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation
+ Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods
**About the Senior Scientist, Data Science job**
Pay, benefits and more:
+ Competitive compensation package
+ Full health insurance benefits available on day one
+ Life and disability insurance
+ Earn up to 15 days of PTO over your first year
+ 9 paid company holidays
+ 401(k) option with company match
+ Education assistance
+ Opportunity to participate in a company incentive plan
What you'll do on a typical day:
+ Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company
+ Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions
+ You will be a thought leader for the practice of Data Science and Analytics across the organization
+ Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation
+ Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations
+ Communicate with technical and business-oriented audiences
+ Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges
+ Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance
+ Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs
+ Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO
**About XPO**
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO.
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
Review XPO's candidate privacy statementhere ( .

Data Science Manager, GenAI - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
Recruiting for this role ends 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, you will develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases. The Data Science Manager will provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases. Data Science Managers are also responsible for but not limited to:
+ Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines
+ Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development
+ Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles
The TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions
+ Experience in a client-facing role or internal AI product development role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#MonitorDeloitte
#DeloitteJobs
#StrategyConsulting
#DeloitteStrategy
#Strategy26
#SFL26
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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**  (GDIA) 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.**
The Data Science Director - Customer Service Analytics (PS&L) is responsible for developing and executing the Analytic Strategy for Ford Customer Service Division (FCSD), specifically supporting the Parts Supply and Logistics (PS&L) team. 
An ideal candidate will:
+ Collaborate closely/embed with PS&L business and operations leaders to understand needs and discover analytic solutions that drive business value. 
+ Deliver specific solutions while coordinating cross-functionally with Tech/IT, Analytics, AI and Business teams to avoid duplication and increase efficiency. 
+ Complete value assessments on existing and proposed Analytics and AI projects to ensure ample Return on Investment for all efforts. 
+ Lead a team with a Global footprint working on a diverse set of initiatives (e.g., Backorder and Repair Order reduction at our dealerships, Inventory Optimization and Transportation Modernization across the parts supply chain, etc.). 
+ Create a portfolio that utilizes the next wave of data, AI and analytic toolsets to drive efficiency and performance. 
This position is in Dearborn, MI.
**What you'll do.**
+ Develop analytic tools using data sourced from the GDIA data platform and operational applications to derive actionable insights for the Parts, Supply and Logistics (PS&L) teams,
+ Drive automation of the Data and Analytic eco-system within GDIA and across the division.
+ Make quick assessments of new business requests related to PS&L, source required data, develop and report needed insights, drive efficiencies to scale prioritized solutions
+ Identify data gaps inhibiting the creation of actionable insights, drive common requirements upstream into the Data Platform assets
+ Limit duplication of effort and possible data/insight conflicts across multiple GDIA/Ford teams
+ Improve our insights through ongoing root cause investigations and analytics governance processes.
+ Improve organizational understanding of what data and insights are available in the PS&L space
+ Co-develop with business leaders a Vision for the use of Analytics in the PS&L space, pulling from learnings of other analytics efforts across GDIA/Ford. Drive this aligned vision into the Product roadmaps. Utilize Plan-Do-Check-Act to measure progress and adjust roadmaps from learnings/feedback.
**You'll have.**
+ Master's degree in Data Science, Statistics, Computer Science or related field or a combination of education and equivalent work experience
+ 5+ years of experience as a Data Science Leader with skills including:
+ Ability to simplify complex issues to develop a compelling point of view and persuasively make a data driven case for change, that leads to action.
+ Ability to communicate points of view to senior leaders with detail and focus appropriate to a variety of audiences and stakeholders 
+ Basic abilities to perform analysis using Data Platform assets on Google Cloud Platform (data pulls for ad hoc inquires with aggregations), and ability to use visualization tools to describe large datasets (e.g. Looker Studio)
+ 5+ years of experience leading a team of data scientists to perform complex analytic deep dives including predictive model creation and validation.
+ 2+ years of experience using Automotive and/or Customer/Marketing operational data (e.g. Technician Hotline/GTAC, Repair Order data/DCDS/UDB, etc.), connected vehicle data (e.g. DTC summary, EV Charge Data, Trip Summary), or similar and general awareness/understanding of quality/warranty data at Ford (e.g. Warranty databases like WADR, GSAR and tools like Quality.ai).
**Even better, you may have.**
+ Master's or PhD Degree in Data Science, Statistics, Computer Science or related field
+ A track record of being a highly-organized, self-starter with the ability to influence cross-functional teams 
+ Good understanding of performance metrics (KPIs) used to drive business domains 
+ Ability to lead, plan, develop, and implement projects / programs that generate value for our Customers and Ford
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 childcare 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 more information on salary and benefits, click here:  ( position is a leadership level 5.
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 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 .
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**Requisition ID** : 46478