Data scientist jobs in Toledo, OH - 70 jobs

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 statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar. This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. What you'll do... Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python Contribute and review code for our code base in GitHub Make sense of, clean, and assess validity and completeness of data samples from Ford's products, services, and supply chain. Deliver insights, models, and tools using statistical analysis, sample validation, 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 Mentor more junior data scientists by being a role model and advisor on the above tasks Find areas to lead and innovate as a Data Scientist on the team You'll have... • Bachelor's degree in engineering, Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field or a related quantitative discipline. • 5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data 5+ years of experience using Python, SQL or BigQuery for acquiring and transforming data 5+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges • Experience with sampling and sample assessment techniques when data are not ideal, especially in structured data with data gaps (e.g. statistical design of experiments, factorial experimental design, Latin hypercube sampling, and others) 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 Experience deploying Machine Learning in production (ideally MLOps) for internal or external use Experience with Google Cloud Platform (GCP) or other cloud systems 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 5-8 and ranges from $66,660-$190,500. 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 **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-MG1

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Our Marketing, Sales & Service organization advances Ford's reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales, and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears, and voice of Ford. In this position… The Yield Management (YM) team supports all Ford Blue, Model e, and Ford Pro product lines and tackles the ~5 highest priority strategic and profit projects each quarter. The team works in “Value Sprints” with a dedicated team focused against a specific mandate for a dedicated period of time. The team applies problem-solving framework and leverages advanced analytics to derive insights and deliver tangible recommendations to create value for Ford. Yield Management's project portfolio aims to deliver a balance of: Near term vehicle line specific profit improvement or risk mitigation actions New or expanded enterprise capabilities Long term portfolio optimizations This Yield Management position operates cross-functionally across Marketing & Sales, Brand, Product Marketing, General Management, GDI&A, Finance, & Ford Credit. Data Scientists come from a range of different backgrounds and work on specific “sprints” typically for 6-8 weeks. You'll have... Bachelors degree Computer Science, Economics, Analytics, Business, Strategy, Finance, or related field 5+ years of relevant experience in Computer Science, Economics, Analytics, Business, Strategy, Finance, or related field 3+ years of various modeling methodologies, including economics, econometrics, statistics, data mining; be able to explain to a non-technical audience the results of your work 3+ years of experience working in Microsoft Excel and PowerPoint 3+ years in python and Database languages such as SQL Even better, you may have... MBA or PhD degree in Statistics, Economics, Computer Science in an appropriate field of study Experience with Google Cloud Platform (GCP) and programming/statistical software utilizing large datasets Knowledge of Marketing & Sales, including exposure to some combination of go-to-market strategy, brand marketing, field ops, sales, variable marketing, pricing, allocation, production, or supply chain Fast learning, hands on, aspirational and curious in technical excellence and innovation; have a lifetime learning attitude Be able to make reasonable judgment and conclusion with limited information and resources; be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality Executive communication experience (written and verbal) 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 grades 5-8 and ranges from $63,480-162,120. For more information on salary and benefits, click here: ************************** 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 **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-JS1 This role is at the intersection of strategy, operations, and analytics, and is tasked with creating change and maximizing profits in the Ford+ plan. The immediate working team is highly collaborative and fast-paced. This is a high-exposure role with ongoing interaction with leadership across Ford Blue, Model e, and Ford Pro. As a Data Scientist, you will perform analysis and modeling as part of Yield Management Scope: Profit optimization & decision analysis, vehicle line demand estimation, price sensitivity analysis, counter-factual modeling, and hypothesis testing. What you'll do... In sprints, Data Scientists are responsible for: Accessing and analyzing data to develop solutions, including leveraging advanced analytics tools and building ad-hoc data models Applying structured problem-solving mindset to sprints Considering enterprise-wide impact and sensitivity of sprint recommendations Communicating analysis insights and implications of sprint recommendations Apply and integrate latest analytical tools developed by Yield Management Advanced Analytics modeling team Assist in preparing presentations and reports for management and business customers Additionally, Data Scientists support: Establishing the sprint mandate and problem statement with key stakeholders Leading analysis and developing insights and implications of decisions Delivering clear and actionable recommendations

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical. The Senior Data Scientist in this role will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human-centered autonomous driving systems. Responsibilities * Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data. * Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors. * Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps. * Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows. * Communicate insights and recommendations to engineering leaders and cross-functional teams. Skills Success in this role typically requires the following competencies: * Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark). * Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements. * Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems. * Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders. * Detail-oriented with a focus on validation, testing, and error detection. Qualifications and Experience Required * B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. * 5+ years of experience in data science, applied machine learning, robotics, or autonomous systems. * 2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis. * Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems. * Hands-on experience working with real-world driving logs and/or simulation data. Desired * Background in motion planning, behavior prediction, or multi-agent interaction modeling. * Experience designing metric-driven development, KPIs, and automated triaging pipelines. Benefits and Perks * Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. * Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. * Rich retirement benefits, including an immediately vested employer safe harbor match. * Generous paid parental leave as well as a phased return to work. * Flexible vacation policy in addition to paid company holidays. * Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $163,477-$240,408 USD

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time. Position SummaryWe're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for financial and analytic workloads. Key Responsibilities:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads. Required Qualifications5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines. Strong proficiency in SQL and experience in developing complex queries. Familiarity with py Spark, DBT, or other similar frameworks. Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). Understanding of data warehousing concepts, dimensional modeling, and building data marts. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred QualificationsKnowledge of data governance best practices in a cloud environment. Experience with data design in BigQueryExperience working with the Epic data model. Experience working with healthcare data (Claims and Admissions) Education and ExperienceCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$83,430. 00 - $222,480. 00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 02/10/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

COMPANY

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT APPLY*** if you do not have any PALANTIR FOUNDRY experience. AND **NO Corp-Corp** Description: We are seeking a skilled Palantir Foundry Engineer to design, build, and optimize data-driven solutions on the Palantir platform. The ideal candidate will have strong programming skills, hands-on experience with Foundry, and a solid foundation in data engineering and pipeline development. Responsibilities: Develop and maintain data transformations, ML workflows, and automation scripts using Python and SQL. Work with Palantir Foundry modules such as Ontology, Code Workbooks, Code Repositories, and Workshop. Design and implement ETL/ELT processes, ensuring data quality, normalization, and integrity. Build and orchestrate data pipelines leveraging tools like PySpark, Foundry Transformation Language (FTL), and low-code interfaces. Develop dashboards and operational UIs to enable business users and analysts. Collaborate with teams to model Ontologies (semantic layers representing real-world entities and relationships). Apply best practices in cloud platforms (AWS/GCP/Azure), containerization (Kubernetes), and CI/CD pipelines. Use Git for source control and contribute to collaborative development. Required Skills / Qualifications: Strong programming knowledge in Python and SQL (Java or C++ is a plus). Experience with Palantir Foundry platform and its core modules. Hands-on expertise in data engineering, pipeline development, and modeling. Familiarity with cloud infrastructure, DevOps practices, and version control. Excellent problem-solving, collaboration, and communication skills. How to Apply: Synergy Computer Solutions, Inc., (Synergycom) is a certified Minority Business Enterprise providing expertise in IT consulting, outsourced solutions, and strategic staffing. Since 1995, Synergycom has been providing quality professional services to address diverse business challenges facing organizations throughout the United States and across the globe. JOIN OUR TEAM: **********************************

**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. **Your role and responsibilities** We are in search of a skilled Consultant Data Engineer to join our expanding team of experts. This role will be pivotal in the design and development of Snowflake Data Cloud solutions, encompassing responsibilities such as constructing data ingestion pipelines, establishing sound data architecture, and implementing stringent data governance and security protocols. The ideal candidate brings experience as a proficient data pipeline builder and adept data wrangler, deriving satisfaction from optimizing data systems from their foundational stages. Collaborating closely with database architects, data analysts, and data scientists, the Data Engineer will play a crucial role in ensuring a consistent and optimal data delivery architecture across ongoing customer projects. This position demands a self-directed individual comfortable navigating the diverse data needs of multiple teams, systems, and products. If you are enthusiastic about the prospect of contributing to a startup environment and supporting our customers in their next generation of data initiatives, we invite you to explore this opportunity. As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity This role can be performed from anywhere in the US. **Required technical and professional expertise** * Bachelor's degree in engineering, computer science or equivalent area * 3+yrs in related technical roles with experience in data management, database development, ETL, and/or data prep domains. * Experience developing data warehouses. * Experience building ETL / ELT ingestion pipelines. * Proficiency in using cloud platform services for data engineering tasks, including managed database services (Snowflake and its pros and cons vs Redshift, BigQuery etc) and data processing services (AWS Glue, Azure Data Factory, Google Dataflow). * Skills in designing and implementing scalable and cost-effective solutions using cloud services, with an understanding of best practices for security and compliance. * Knowledge of how to manipulate, process and extract value from large disconnected datasets. * SQL and Python scripting experience require, Scala and Javascript is a plus. * Cloud experience (AWS, Azure or GCP) is a plus. * Knowledge of any of the following tools is also a plus: Snowflake, Matillion/Fivetran or DBT. * Strong interpersonal skills including assertiveness and ability to build strong client relationships. * Strong project management and organizational skills. * Ability to support and work with cross-functional and agile teams in a dynamic environment. * Advanced English required. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Working at Freudenberg: We will wow your world! Responsibilities: Design and Build Data Pipelines: Develop, implement, and maintain robust, scalable data pipelines and ETL processes to integrate data from diverse sources. Cloud Data Infrastructure: Collaborate with IT and business teams to set up and optimize advanced cloud-based data infrastructure, supporting AI-driven models and analytics. Data Transformation & Modeling: Create algorithms and data models to convert raw data into actionable insights, aligning with business objectives. Data Quality & Security: Ensure data integrity, quality, and security across all systems, implementing validation, backup, recovery, and disaster recovery plans. Pipeline Optimization: Continuously evaluate and enhance data systems and processes for improved efficiency, reliability, and performance (including query tuning and indexing). Migration & Modernization: Lead migration of on-premises data systems to cloud solutions, focusing on Azure and modern data architectures (e.g., real-time processing, data warehousing). Collaboration: Work closely with data scientists, analysts, and other stakeholders to meet organizational data needs and drive strategic data management projects Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Proficiency in Python and SQL; experience with both relational and non-relational databases (MS SQL, Azure SQL Database). Hands-on experience with Databricks, Azure Data Factory, and modern data warehouse tools. Familiarity with real-time data processing tools (e.g., Kafka, Flink) is a plus. Experience with CI/CD pipelines, automation for data deployments, and infrastructure as code (e.g., Terraform). Strong understanding of data security, backup, and recovery best practices. Knowledge of cloud infrastructure management, particularly on the Azure platform. Domain Knowledge: Experience in automotive and/or chemical data domains is a plus. Communication & Collaboration: Communicates clearly and concisely, while serving as a sparring partner to internal/external stakeholders. Fosters teamwork between employees and across the organization. Value for Customers: Drives a customer-oriented business strategy and provides indispensable support to deliver successful outcomes. Innovation: Envisions the impact of potential future trends and proactively drives necessary changes. Encourages creativity and initiative from employees. Drive & Execution: Inspires and motivates self and others, while taking full accountability for actions and results. The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law. Freudenberg-NOK General Partnership

StemXpert is a global management consulting, technological service and outsourcing company delivering technology-driven business solutions to meet the strategically driven objectives for our numerous clients. Job Description Set up in test, preproduction & dvlper environment w/ physical servers. Work as SQL Server d/base admin & set up SQL security Audit & write prgms for Big Data solutions. Conduct user acceptance testing & integration testing. Master's deg in Comp Sci, Engg or related field of study w/ 3 yrs' work exp in the position offered or related occupation w/ similar duties. Exp reqd w/ DTS/SSRS/SSIS packages, SSRS reports & writing comp prgms in TSQL, C#, Powershell & Hive. Alternatively, employer will accept a Bach's deg in Comp Sci, Engg or related field w/ 5 yrs of exp in position offered or related occupation w/ exp reqd w/ DTS/SSRS/SSIS packages, SSRS reports & writing comp prgms in TSQL,C#,Powershell, Hadoop & Hive. All exp mentioned above may be acquired concurrently. Position also reqs certification as Microsoft SQL Server 2000 d/base Dsgn & Implmtn. Additional InformationThanks & Regards, -------------------------- Venkat ************

The LGES - HONDA Joint Venture, located in Jeffersonville, Ohio, is bringing the power! A transformation is happening within the auto industry, and we are leading the way. We develop and manufacture large lithium-ion polymer batteries and packs of the highest quality for electric vehicle (EV) and energy storage applications. Established in 2023, The LGES - HONDA Joint Venture is passionate about developing and maintaining a culture where our associates and customers understand their value and worth. We are making a positive impact and we want you to be a part of it! ***************** Summary: The Equipment Data Analysis Engineer 1 will play a critical role in supporting manufacturing operations by managing, analyzing, and utilizing equipment-related data to improve production efficiency, reduce downtime, and support decision-making processes in a high-tech EV battery manufacturing environment and support the manufacturing and production plan, ensure the safety of the workplace, optimize equipment & maximize manufacturing Overall Equipment Effectiveness (OEE), and support line capacities through cycle time and downtime reduction activities Responsibilities: Collecting and organizing equipment and facility operation data, including equipment parameters such as gap, temperature, pressure, and cycle time, for ongoing performance monitoring. Investigating the correlation between machine conditions and production outcomes, identifying patterns that affect yield, equipment reliability, and process stability. Supporting daily production by reviewing issue logs, downtime history, and quality-related alerts, and assisting in identifying root causes based on data trends. Working with equipment engineers and technicians to adjust machine parameters or improve standard operating procedures using data-based insights. Contributing to improvement initiatives by managing structured records of operational changes, parameter adjustments, and failure events for continuous analysis. Participating in cross-functional meetings to share findings and support preventative maintenance and performance improvement strategies. Helping visualize and report key metrics related to equipment health, performance, and throughput for regular engineering reviews. Utilize data analysis and Plan-Do-Check-Act (PDCA) to lead, support, develop and justify solutions with related groups/departments to solve complex equipment related problems Monitor and manage equipment to ensure optimal manufacturing performance and function, while minimizing operating expenses and ensuring safety Review, analyze, and present reports to identify and communicate machine micro stops, breakdowns and yield impacts, and lead the development of countermeasures, striving for continuous improvement Develop and ensure completion of production work orders for equipment related items by creating or updating PLC Ladder Logic, improving mechanical design, updating vision systems, updating line layouts, etc Develop capability of self and team through training, mentoring, and sharing of experiences Establish priorities and make decisions based on data analytics to effectively accomplish business objectives Test, evaluate, and implement new and innovative technologies to improve overall equipment and process efficiency Communicate with local and international vendors and purchasing department to facilitate equipment repairs and replacement Ensure compliance with health, safety, and environmental regulations Maintain cleanliness at worksite in accordance with 5S3R Standards: Sort, Set in order, Shine, Standardize, Sustain Right Location, Right Quantity, Right Container Perform other duties as assigned Education/Experience: Bachelor of Science in Engineering or Engineering Technology or equivalent related experience 0 to 3+ years of experience in manufacturing related job or equivalent relevant experience Manufacturing co-op experience preferred but not required Knowledge/Skills: Battery production related knowledge preferred but not required Proficient in Microsoft Office suite CAD Software (AutoCad, Solidworks, Catia, etc.) experience preferred but not required Positive attitude, open minded, and team player Strong self-motivation and desire to work in a manufacturing environment Strong communication and interpersonal skills Ability to multitask and solve complex problems Strong technical analysis and troubleshooting skills Ability to manage projects and schedules Korean language proficiency a plus Additional requirements: Comply with company Personal Protective Equipment (PPE) requirements Able to work in both office and manufacturing environments Hands-on support of equipment Prompt and regular attendance within our onsite operations Flexibility to work adjusted shifts as necessary This role requires up to 10% of travel (domestic and/or international) Are you ready to join us in our journey toward a better world? Start your future with us, where we are building tomorrow, together. Welcome to The LGES - HONDA Joint Venture! What differentiates The LGES - HONDA Joint Venture and makes us an employer of choice? Total Rewards: • Competitive base salary • Paid time off, including vacation & paid holidays • Ability to earn compensatory time off • Industry leading benefit plans (Medical, Dental, Vision, Rx) • Shift premium (when assigned) • 401K plan with company match • Relocation assistance (if eligible) Career Growth: • Advancement opportunities • Education reimbursement for continued learning • Training and development programs Additional Offerings: • On-Site cafeteria • On-Site recreational area • On-Site wellness area • Clean, climate-controlled environment LGES-Honda Joint Venture, L-H Battery Company, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team As a Staff Safety Statistician, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems. You will lead the design and execution of statistically rigorous analyses that inform safety assurance strategies, engineering priorities, and risk-based decision making. Your work will directly influence how safety performance and risk are measured, understood, and acted upon across the organization. This is a technical role focused on applied statistics and decision support, not dashboarding, experimentation platforms, or generic ML product analytics. What You'll Do Lead statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets Bridge safety and engineering teams by translating complex analyses into information engineers can act on Develop automated, production-ready analysis workflows that support continuous safety monitoring Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives What You'll Need to Succeed Advanced degree in Statistics or a closely related field M.S. with 5+ years of experience, or PhD with 3+ years of experience Strong background in applied statistics, safety analysis, and risk estimation Experience in autonomous vehicles or adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail etc.,) Experience working with complex, real-world datasets rather than clean or purely academic data Hands-on experience using Python for analysis (SQL and/or R a plus, but not required) Ability to communicate statistical concepts clearly to non-statistical audiences Comfort operating independently as a technical leader in a cross-functional, distributed environment Bonus Points Background applying statistics to engineering or physics-based systems Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling Experience supporting executive or external stakeholder decision-making Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures AD+D and Life Insurance At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102419 Hiring Range for Job Opening US Pay Range $168,800 - $202,600 USD

How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your CV/resume. The cover letter should address your areas of interest, experience, and qualifications within the range of responsibilities described. Job Summary The Data Science for Dynamic Intervention Decision-Making Center (d3center) is seeking a highly experienced Senior Statistical Programmer to support advanced quantitative and data-intensive research across a diverse portfolio of sponsored projects. This role partners closely with faculty investigators, research scientists, biostatisticians, and analysts to develop adaptive intervention methodologies to support the design, implementation, and maintenance of robust, reproducible statistical programming workflows that support high-quality research and evidence generation. The Senior Statistical Programmer brings deep technical expertise, strong statistical reasoning, and a collaborative mindset to complex research questions spanning health, behavioral, social, and data sciences. The position is well suited for an individual who can work independently on sophisticated analyses while also mentoring others and contributing to best practices in research computing. The Survey Research Center

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Cognizant Technologies delivers value added turn-key solutions to our clients which accelerate their organization's growth. Whether it's entering new markets, introducing innovative new products, or initiating transformation process changes, Cognizant Technologies will provide consistent services to their clients. Job Description Duration : 1 year Qualifications The Senior Data Engineer will implement data-oriented solutions to support cloud-based software development. You will own the technical solutions needed for data ingestion, storage, access, and provisioning to enable large scale software and analytics deployment for our customers. You will be a member of an integrated squad working together to deliver successful outcomes on the GE Predix platform • Architect, Design and develop new systems and tools to enable users to consume and understand data faster • Work across multiple cross-functional teams in high visibility roles and own the data solution end-to-end • Adopt a Fast Works mind-set to support Business data and analytics projects • Help drive a best-in-class data engineering practice that will be leveraged across GE • Participates in setting strategy and standards through data architecture and implementation • Engineers structured and unstructured data from source systems to fit business needs • Establish and maintain policies, procedures and standards for data management and processing. • Leads analysis, model and design the application data structure, storage, integration, deployment and support. • Fluent in both normalized and dimensional model disciplines and techniques and in creating data logical and physical data models. • Designs and documents conceptual/logical models and implementing physical models • Provides technology guidance, evaluate tools, perform POC's, design solutions & documentation. • Proficient in using data modelling tools, such as Power Designer or Erwin. • Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 5 years of experience as data engineer. • A minimum of 2 years of experience using Scripting (Python, Perl, Shell, etc) is required • A minimum of 5 years of experience working on Database(s) like PostgreSQL, Oracle, SQL Server. SQL is required • A Minimum of 5 years of experience designing data model solutions for various OLTP and OLAP databases. • Must be legally authorized to work in the United States full-time • Must be willing to work in our Digital Thread Hub - Detroit facility full-time • Must be 18 years of age or older • Must be willing to take a drug test as part of the selection process • Must be willing to submit to a background investigation, including for example, verification of your past employment, criminal history, and educational background • Experience with the GE Software Center of Excellence Predix platform. • Lean/Six Sigma Certification. • Experience working in an Agile software development environment Additional Information Cognizant Technologies Opus Pl, Suite 110, Downers Grove, IL - 60515 Direct: ************** | Email: ********************************

Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description Location: 30 Frank Lloyd Wright Dr. Ann Arbor, MI 48105 Type: Hybrid- Monday-Thursday onsite with Friday's being remote A proactive and detail-oriented Data Governance Analyst to contribute to enterprise-wide data governance initiatives. This role plays a key part in supporting the consistency, clarity, and usability of data across departments. The ideal candidate will bring foundational experience in data management, a working knowledge of data modeling and analytics tools, and a strong ability to collaborate with cross-functional teams. This position offers the opportunity to grow into a strategic data governance leader by working closely with senior analysts and business stakeholders to define and standardize key data elements, relationships, and metrics. Key Responsibilities: Stakeholder Support & Requirements Gathering Assist in scheduling and documenting stakeholder interviews. Capture initial definitions of KPIs, metrics, and business terms. Help facilitate workshops and take notes to support alignment efforts. Metadata & Data Definition Maintenance Populate and update metadata repositories or data catalogs under supervision. Ensure definitions are tagged correctly and follow naming conventions. Flag inconsistencies or gaps in definitions for review by senior analysts. Basic Data Modeling Support Assist in documenting table relationships and entity mappings. Use tools like ER diagrams or spreadsheets to visualize simple data structures. Validate foreign key relationships and report anomalies. Metric Logic Implementation (Entry-Level) Support the creation of basic Python scripts/Databricks Metric View for metric calculations. Test and validate logic created by senior analysts. Maintain a library of reusable scripts and templates. Governance Standards Compliance Apply existing governance policies to new data assets. Participate in data quality checks and report issues. Help enforce metadata tagging and naming conventions. Documentation & Visualization Create simple flowcharts, diagrams, and documentation for internal use. Translate technical concepts into user-friendly guides for business users. Maintain version control of documentation and ensure accessibility. Qualifications 0-2 years of experience in data analysis, governance, or related fields Basic understanding of relational databases and data modeling Exposure to Python for data manipulation Strong attention to detail and willingness to learn Good communication and organizational skills Additional Information All your information will be kept confidential according to EEO guidelines.

Our Marketing, Sales & Service organization advances Ford's reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales, and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears, and voice of Ford. In this position… The Yield Management (YM) team supports all Ford Blue, Model e, and Ford Pro product lines and tackles the ~5 highest priority strategic and profit projects each quarter. The team works in “Value Sprints” with a dedicated team focused against a specific mandate for a dedicated period of time. The team applies problem-solving framework and leverages advanced analytics to derive insights and deliver tangible recommendations to create value for Ford. Yield Management's project portfolio aims to deliver a balance of: Near term vehicle line specific profit improvement or risk mitigation actions New or expanded enterprise capabilities Long term portfolio optimizations This Yield Management position operates cross-functionally across Marketing & Sales, Brand, Product Marketing, General Management, GDI&A, Finance, & Ford Credit. Data Scientists come from a range of different backgrounds and work on specific “sprints” typically for 6-8 weeks. You'll have... Bachelors degree Computer Science, Economics, Analytics, Business, Strategy, Finance, or related field 5+ years of relevant experience in Computer Science, Economics, Analytics, Business, Strategy, Finance, or related field 3+ years of various modeling methodologies, including economics, econometrics, statistics, data mining; be able to explain to a non-technical audience the results of your work 3+ years of experience working in Microsoft Excel and PowerPoint 3+ years in python and Database languages such as SQL Even better, you may have... MBA or PhD degree in Statistics, Economics, Computer Science in an appropriate field of study Experience with Google Cloud Platform (GCP) and programming/statistical software utilizing large datasets Knowledge of Marketing & Sales, including exposure to some combination of go-to-market strategy, brand marketing, field ops, sales, variable marketing, pricing, allocation, production, or supply chain Fast learning, hands on, aspirational and curious in technical excellence and innovation; have a lifetime learning attitude Be able to make reasonable judgment and conclusion with limited information and resources; be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality Executive communication experience (written and verbal) 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 grades 5-8 and ranges from $63,480-162,120. For more information on salary and benefits, click here: ************************** 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 **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-JS1 This role is at the intersection of strategy, operations, and analytics, and is tasked with creating change and maximizing profits in the Ford+ plan. The immediate working team is highly collaborative and fast-paced. This is a high-exposure role with ongoing interaction with leadership across Ford Blue, Model e, and Ford Pro. As a Data Scientist, you will perform analysis and modeling as part of Yield Management Scope: Profit optimization & decision analysis, vehicle line demand estimation, price sensitivity analysis, counter-factual modeling, and hypothesis testing. What you'll do... In sprints, Data Scientists are responsible for: Accessing and analyzing data to develop solutions, including leveraging advanced analytics tools and building ad-hoc data models Applying structured problem-solving mindset to sprints Considering enterprise-wide impact and sensitivity of sprint recommendations Communicating analysis insights and implications of sprint recommendations Apply and integrate latest analytical tools developed by Yield Management Advanced Analytics modeling team Assist in preparing presentations and reports for management and business customers Additionally, Data Scientists support: Establishing the sprint mandate and problem statement with key stakeholders Leading analysis and developing insights and implications of decisions Delivering clear and actionable recommendations

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************