Data scientist jobs in Toledo, OH

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. You'll have... Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering or related field and 3 years of experience in the job offered or related occupation. 3 years of experience with each of the following skills is required: 1. Developing NLP pipelines in Python using at least 2 of the following: NLTK, spa Cy, Gensim, or HuggingFace. 2. Implementing text preprocessing workflows, creating feature extraction algorithms, and building and training models with scikit-learn, TensorFlow, or PyTorch. 3. Developing reusable modules for NLP and writing production-ready code. 4. Querying large datasets in SQL to extract textual information. 5. Designing database schemas optimized for NLP applications. 6. Writing complex queries to join structured and unstructured data sources. 7. Creating ETL processes for text data, optimizing query performance for large text corpora, and implementing database operations in analytics pipelines. 8. Applying supervised Machine Learning techniques to NLP problems, implementing unsupervised methods for text analysis, evaluating model performance with appropriate metrics, building ensemble models, conducting hyperparameter optimization, and applying transfer learning with pre-trained embeddings. 9. Deploying NLP models and pipelines on Google Cloud Platform (GCP) infrastructure. 10. Utilizing AI Platform for training and serving ML models. 11. Managing data storage with Cloud Storage, BigQuery, or Cloud SQL. 12. Implementing data processing pipelines with Dataflow or Dataproc. 2 years of experience with each of the following skills is required: 1. Managing code versioning for collaborative NLP model development, implementing code review processes, and resolving merge conflicts in multi-developer environments. 2. Using Git for CI/CD integration with model deployment and organizing repositories for maintainable ML codebases. 1 year of experience with each of the following skills is required: 1. Using Cloud Functions for serverless text processing and monitoring model performance. 2. Containerizing NLP applications for deployment, creating and managing deployment configurations, and setting up routes and services with OpenShift. 3. Implementing resource allocation and scaling strategies, configuring persistent storage for models and data, and managing deployments with rolling updates. 4. Fine-tuning pre-trained Large Language Models (BERT, GPT, or T5) for domain-specific tasks. 5. Implementing prompt engineering techniques and evaluating LLM outputs for accuracy. 6. Creating embeddings for semantic search, optimizing inference for production, and reducing hallucinations and improving factuality. 7. Building CI/CD pipelines in Tekton for NLP model deployment. 8. Creating reusable pipeline components for text processing, managing workflow triggers, and implementing testing and validation steps. 9. Configuring resource requirements, integrating model evaluation metrics, and setting up automated retraining pipelines. We are offering a salary of $107,848.00 - $182,338.56/yr. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* 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 **************. #LI-DNI #DNP What you'll be able to do: Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Develop and deploy Natural Language Processing (NLP) models to extract insights from unstructured textual data. Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics. Design and implement data pre-processing and feature engineering techniques for NLP tasks. Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems. Evaluate and fine-tune models for performance optimization, accuracy, and efficiency. Contribute maintainable code to existing and new pipelines. Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of methodologies and algorithms. Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Come be part of Amazon's EU Marketplace organization, where we strive to be the most customer-centric company on earth. The EU 3P Business Intelligence team is at the forefront of leveraging advanced analytics and artificial intelligence to drive the growth of Amazon's Marketplace in Europe. We work with petabytes of data in one of the world's largest data lakes, employing the most advanced tools and techniques to reveal insights that shape the future of e-commerce. We're seeking a Senior Data Scientist to join our team and lead the development of AI and ML solutions that enhance our Seller Services. You'll be part of expanding our GenAI capabilities and scaling their impact across European markets, working with vast amounts of data to drive innovative solutions for our sellers and customers. A successful Data Scientist at Amazon demonstrates bias for action and operates in a startup environment, with leadership skills, and proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning and Generative AI techniques to improve our marketplace experience. Key job responsibilities As a Senior Data Scientist, you will partner with product management and technical leadership to identify opportunities to innovate the marketplace experience. You will identify new areas of innovation, develop unique scientific solutions, and play a crucial role in shaping innovation for our Sellers. Responsibilities include: [*]Transform complex business problems into analytical solutions by understanding available data and identifying appropriate statistical or ML techniques. [*]Design and develop large-scale AI/ML projects and experiments from inception to deployment, driving solutions to complex or ambiguous business challenges. [*]Leverage broad expertise to recommend optimal strategies and methodologies, solving challenges through statistical modeling, machine learning, optimization, and/or other approaches for quantifiable business impact. [*]Collaborate with cross-functional teams to identify opportunities for AI applications. [*]Define and conduct experiments to optimize marketplace efficiency and effectiveness. [*]Communicate insights and recommendations to product, business, and technology partners across both EU and WW organizations. [*]Mentor team members and contribute to building a strong data science and AI culture within the organization. Basic Qualifications [*]Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. [*]5+ years of data science and machine learning experience. [*]5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. [*]Exposure to building applications leveraging GenAI. Preferred Qualifications [*]Experience managing complex data pipelines. [*]Experience in AWS services. [*]Experience in Natural Language Processing techniques. [*]Excellent verbal and written communication skills. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( **************************************** ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

About Us Groundbreaker. Game changer. Pioneer. TRC has long set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time. From pipelines to power plants, roadways to reservoirs, schoolyards to security solutions, clients look to TRC for breakthrough thinking backed by the innovative follow-through of an industry leader. TRC's professionals work with a broad range of commercial, industrial and government clients and the communities they serve. We deliver breakthrough solutions that address local needs -- so our clients can better succeed in an ever-changing world. Working at TRC means tackling interesting, meaningful projects. We pride ourselves on our collaborative spirit, entrepreneurial zeal and agile corporate structure. We recognize that the expertise of our staff is our strongest asset, so we generously reward employees for successful performance and invest in their careers through training and the development of new skills and certifications. Overview TRC's vision is to solve the challenges of making the Earth a better place to live - community by community and project by project. We value Safety, Quality, Integrity, Creativity, Accountability, Teamwork, and Passion. We currently have an opportunity for an Environmental Data Scientist to join our growing Engineering, Construction and Remediation Practice in Ann Arbor, MI. The position includes working with a multi-disciplinary team on a variety of environmental projects applying data management, data interpretations, and statistical evaluation support along with developing visualizations and infographics for various site investigation, groundwater monitoring, and remediation projects. This position will involve collaboration across TRC while participating in local project teams. The successful candidate will be a highly motivated, team-oriented individual with at least 2-6 years of data science and/or environmental industry-related experience. Initial responsibilities will be commensurate with experience and capability and will include data analytics applied to engineering and geological interpretation of environmental data using a broad range data management systems and software applications, collaboration on sampling analysis plans, quality assurance project plans, and statistical evaluation plans and implementation of those plans through data processing, data reduction, and statistical analysis to support data-driven decision making. Project data includes field documentation, field-collected data, laboratory analytical data for a variety of environmental media, and geological and geotechnical information. Opportunities to contribute will focus on developing workflows and dashboards and integration of digital tools to compile and interpret data against various regulatory standards and prepare report ready data tables, charts, figures and other visualizations and infographics using a variety of tools. Responsibilities * Demonstrate excellence and efficiency in communication, data analysis, professional judgment, and knowledge of scientific principles. * Thrive in a fast-paced environment, managing time effectively and balancing multiple project assignments and deadlines with a variety of project teams. * Possess strong organizational, interpersonal, verbal, and written communication skills. * Have a strong sense of responsibility and work ethic. * Have the ability to lead initiatives and effectively organize and disseminate information. * Demonstrate strong quality assurance/quality control skills and attention to detail. * Compile, organize, and configure environmental datasets within the EarthSoft's EQuIS data management platform to support project objectives. * Support geologic and engineering interpretations and the preparation of reports and visual materials using a variety of tools to effectively communicate findings to both technical and non-technical audiences. * Work closely with cross-disciplinary teams of field and technical professionals-including geologists, environmental scientists, engineers, chemists, GIS/CAD specialists-and partner analytical laboratories. Qualifications * B.S. in environmental studies/sciences, data sciences or analytics, geology, chemistry, engineering or related field. * Minimum 2 years of environmental consulting and/or professional experience with a focus on data management or analytics related to geological and/or engineering projects. * Proven experience in statistical analysis, preferably within an environmental context, is a plus. * Solid technical, analytical, and problem-solving skills. * Highly motivated, collaborative, and capable of independently managing multiple responsibilities. * Demonstrated capabilities for use and development of tools for environmental data analysis, statistical evaluation, and visualization (Microsoft Excel and Power BI, Python or R, ChemStat, Sanitas, ProUCL, Leapfrog). * Experience and demonstrated understanding of Microsoft Access, Microsoft SQL, Oracle, EQuIS or equivalent database systems. * Legal authorization to work in the United States without the need for sponsorship. #LI-SE1 Benefits*: TRC offers a competitive benefit package consisting of: * Medical, dental, vision, and disability insurance. * 401k package that includes both traditional and Roth IRA options and Company match. * Paid time off contingent upon full time or part time status and level of seniority (ranging from 15 to 25 days per year). * All full-time employees enjoy a minimum of 8 Paid Holidays per year. * TRC ensures that all employees, including those that work part-time, receive paid sick, family, and disability leave in accordance with the laws of their state of residence. * These benefits are applicable to US employees depending on their employment status (full time, part time, or temporary). TRC offers jurisdiction specific benefit packages for International and Puerto Rico employees. Compensation: In accordance with local law, the below salary range is applicable for the job and location associated with this requisition. Compensation will vary based upon experience, education, skill level, geographical location, and other compensable factors. Other Compensation: Employee may be eligible for participation in the Company's annual Discretionary Bonus Program which is contingent on Company, Business Segment, and Individual performance against Key Performance Indicators which vary by year and employee. Disclaimers TRC is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business needs. We celebrate diversity and are committed to creating an inclusive environment for all employees. The complete job description and application are available on TRC's career site. TRC accepts applications for this position on an ongoing, rolling basis and reserves the right to cancel this posting at any time. Salary Range USD $64,896.00 - USD $80,371.00 /Yr.

We are seeking a highly skilled and experienced Senior Data Scientist specializing in Marketing Analytics to join our dynamic team. In this role, you will be instrumental in leveraging data-driven insights to optimize marketing strategies, drive customer engagement, and directly contribute to the growth and success of the Ford Pro brand. At Ford Pro, you'll be part of a team that is transforming the commercial vehicle industry by delivering innovative and connected solutions. You will have the opportunity to make a significant impact by applying cutting-edge data science to real-world marketing challenges, influencing strategic decisions, and contributing to a business that is crucial to the success of commercial enterprises worldwide. Join us in driving human progress through freedom of movement and shaping the future of work. Responsibilities Drive Impactful Solutions: Lead end-to-end data science initiatives, from problem definition to deployment and monitoring, to drive key business outcomes in marketing analytics for Ford Pro. This includes designing and delivering production-grade data science solutions for complex marketing problems, even when standard methods fall short. Apply Expertise: Leverage expert knowledge in at least one data science domain (e.g., forecasting, prediction, causal inference, experimentation) to solve intricate marketing challenges. Strategic Partnership: Collaborate closely with marketing stakeholders to define data-driven strategies, align on roadmaps, and translate complex business requirements into actionable technical tasks. Build Robust Pipelines: Develop and maintain robust, scalable data science pipelines, ensuring high quality, reproducibility, and continuous monitoring of model performance, including detection of feature drift and prediction distributions. Influence & Innovate: Influence team data science strategy, standards, and best practices. Champion knowledge sharing, reusable data science assets, and evaluate emerging technologies and research for potential business applications within the marketing domain. Communicate Insights: Translate complex data insights into strategic implications, fostering data-driven decision-making at higher levels across multiple teams and product areas within Ford Pro. Qualifications Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Experience: 5+ years of progressive experience in Data Science, with a significant focus on marketing analytics or related business domains. Technical Proficiency: 3+ years expert proficiency in programming languages such as Python or R, and strong SQL skills. Extensive experience with relevant data science libraries and frameworks (e.g., Scikit-learn, XGBoost, TensorFlow/PyTorch, Pandas). Strong understanding and practical experience with advanced statistical modeling, machine learning techniques (e.g., regression, classification, forecasting, causal inference). Demonstrated experience with cloud platforms (e.g., Google Cloud Platform, AWS, Azure), including building data processing pipelines (e.g., Spark, Dataflow) and utilizing managed machine learning services. Problem-Solving: Proven ability to independently translate ambiguous business problems into solvable data science problems and deliver impactful, production-ready solutions. Communication: Excellent communication and data storytelling skills, with the ability to articulate complex analytical results and their business implications clearly to both technical and non-technical audiences. Collaboration: Demonstrated experience collaborating effectively with cross-functional teams, managing stakeholder expectations, and contributing to a highly collaborative environment. Even Better If You Have An advanced degree (Master's or Ph.D.) in a quantitative field. Direct experience with A/B testing design, implementation, and analysis, as well as other experimental design methodologies. Expertise in specific marketing analytics areas such as customer segmentation, lifetime value (LTV) modeling, campaign optimization, media mix modeling, or attribution modeling. Hands-on experience with MLOps practices, including model deployment, versioning, and automated monitoring in production environments. Contributions to open-source projects, academic publications, or industry conferences in relevant data science or marketing analytics fields. 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, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This role is on-site in Dearborn, MI, you will be required to be in office 4x week. *Visa Sponsorship is NOT provided for this specific role * *Relocation assistance IS provided for this specific role* 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 **************. #LI-OnSite #LI-DS2

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

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. 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 analytic and data science 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 machine learning flows on GCP. Experience with data design in BigQueryExperience working with the Epic data model. Experience working with healthcare data (Tuva or OMOP Models a plus). 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: 12/29/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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 ************************** .

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 ************

Akkodis is seeking a GCP Data Engineer for a Contract with a client in Dearborn, MI. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure and pipelines to enable efficient collection, storage, and analysis of large datasets. Rate Range: $55/hour to $60/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. GCP Data Engineer job responsibilities include: * Collaborate with business and technology stakeholders to gather and understand current and future data requirements. * Design, build, and maintain scalable and efficient data infrastructure for data collection, storage, transformation, and analysis. * Develop and manage data pipelines, data models, and applications to ensure reliable and optimized data workflows. * Implement and maintain data platforms such as data warehouses, data lakes, and lakehouses for structured and unstructured data. * Create analytical tools, algorithms, and automation scripts to support data engineering activities and improve efficiency. * Monitor system performance, troubleshoot issues, and identify opportunities for optimization and improvement. Required Qualifications: * Master's degree in computer science, Data Science, Engineering, or a related field (preferred). * Minimum 4 years of hands-on experience in Data Engineering. * Proven ability to design, build, and maintain scalable data infrastructure and pipelines for large-scale data processing. * Strong problem-solving skills with experience in dynamic environments, delivering high-impact results under multiple priorities. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *****************************. Pay Details: $55.00 to $60.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The Virtual Analysis Engineer (VE) role within the Product Interface (PI) organization focuses on optimizing manufacturability through advanced math-based analysis and data integration. This position ensures Body Manufacturing Requirements (MRs) compliance by leveraging automation, scripting, and cross-platform data connectivity. Key Responsibilities: * Develop and maintain NX scripts and utilities to automate compliance checks at defined math synch points. * Perform manual manufacturability analysis where automated tools are unavailable. * Generate and publish issue reports; collaborate with PI, Stamping, and Manufacturing Engineering teams to resolve gaps. * Create KPI dashboards to monitor compliance and drive process optimization. * Support manufacturing studies using simulation tools for product placement and workflow efficiency. * Integrate data sources across platforms using Azure Databricks and link insights into VE toolsets for real-time decision-making. Required Qualifications: * Bachelor's degree in computer science, Engineering or equivalent experience. * Expertise in Siemens NX scripting (VB.NET and/or Python), GUI development, and software packaging. * Experience with Azure Databricks for data acquisition and integration. * Proficiency in Power BI for dashboard creationand data visualization. * Strong analytical skills for complex problem-solving and process optimization. * Ability to manage priorities and deliver results in a dynamic, multi-program environment. Preferred Qualifications: * Familiarity with Siemens TeamCenter, TcVIS, NX, and Tecnomatix (Process Simulate/Designer). * Knowledge of BIW tool design, GMNA manufacturing standards, and GVDP deliverables. Job Type & Location This is a Contract to Hire position based out of Dearborn, MI. Pay and Benefits The pay range for this position is $43.00 - $50.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Dearborn,MI. Application Deadline This position is anticipated to close on Dec 27, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

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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: ********************************

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications Join KLA's Service Supply Chain team as a Summer Intern in Machine Learning! Our service supply chain supports a wide range of spare parts-from basic hardware to highly sophisticated optics, lasers, and precision mechanical devices. To ensure optimal delivery performance, we leverage advanced analytics and machine learning to predict demand and improve planning processes. As an intern, you will: * Build a graph representation of KLA's spare parts demand network to enable predictive modeling and other advanced analytics. * Develop and implement machine learning models (e.g., using PyTorch) to forecast monthly spare parts demand. * Explore and apply graph-based approaches for network representation and prediction. * Work with large datasets to uncover patterns and insights that traditional analytics cannot easily reveal. * Collaborate with the supply chain and planning teams to integrate findings into actionable strategies. * Utilize Linux command line tools and scripting for data processing and workflow automation. This internship offers hands-on experience applying cutting-edge machine learning techniques to real-world supply chain challenges. Minimum Qualifications Preferred Qualifications * Strong proficiency in Python programming. * Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras). * Familiarity with graph theory and its applications in machine learning is a plus. * Comfort with Linux command line and basic scripting. * Solid understanding of probability, statistics, and data analysis and visualization. * Ability to communicate technical concepts clearly to both technical and non-technical audiences. Minimum Qualifications * Enrollment in a graduate program (Master's or Ph.D.) in a relevant field. * Demonstrated experience in developing and applying machine learning models. * Strong data wrangling and preprocessing skills (e.g., data cleaning and quality control). * Ability to learn new tools and technologies quickly. * Collaborative mindset and willingness to work in a team environment. Base Pay Range: $0.00 - $0.00 Per Hour Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ************************** or at *************** to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ************************** to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

We are seeking a highly skilled and experienced Senior Data Scientist specializing in Marketing Analytics to join our dynamic team. In this role, you will be instrumental in leveraging data-driven insights to optimize marketing strategies, drive customer engagement, and directly contribute to the growth and success of the Ford Pro brand. At Ford Pro, you'll be part of a team that is transforming the commercial vehicle industry by delivering innovative and connected solutions. You will have the opportunity to make a significant impact by applying cutting-edge data science to real-world marketing challenges, influencing strategic decisions, and contributing to a business that is crucial to the success of commercial enterprises worldwide. Join us in driving human progress through freedom of movement and shaping the future of work. Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Experience: 5+ years of progressive experience in Data Science, with a significant focus on marketing analytics or related business domains. Technical Proficiency: 3+ years expert proficiency in programming languages such as Python or R, and strong SQL skills. Extensive experience with relevant data science libraries and frameworks (e.g., Scikit-learn, XGBoost, TensorFlow/PyTorch, Pandas). Strong understanding and practical experience with advanced statistical modeling, machine learning techniques (e.g., regression, classification, forecasting, causal inference). Demonstrated experience with cloud platforms (e.g., Google Cloud Platform, AWS, Azure), including building data processing pipelines (e.g., Spark, Dataflow) and utilizing managed machine learning services. Problem-Solving: Proven ability to independently translate ambiguous business problems into solvable data science problems and deliver impactful, production-ready solutions. Communication: Excellent communication and data storytelling skills, with the ability to articulate complex analytical results and their business implications clearly to both technical and non-technical audiences. Collaboration: Demonstrated experience collaborating effectively with cross-functional teams, managing stakeholder expectations, and contributing to a highly collaborative environment. Even Better If You Have An advanced degree (Master's or Ph.D.) in a quantitative field. Direct experience with A/B testing design, implementation, and analysis, as well as other experimental design methodologies. Expertise in specific marketing analytics areas such as customer segmentation, lifetime value (LTV) modeling, campaign optimization, media mix modeling, or attribution modeling. Hands-on experience with MLOps practices, including model deployment, versioning, and automated monitoring in production environments. Contributions to open-source projects, academic publications, or industry conferences in relevant data science or marketing analytics fields. 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, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This role is on-site in Dearborn, MI, you will be required to be in office 4x week. *Visa Sponsorship is NOT provided for this specific role * *Relocation assistance IS provided for this specific role* 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 **************. #LI-OnSite #LI-DS2 Drive Impactful Solutions: Lead end-to-end data science initiatives, from problem definition to deployment and monitoring, to drive key business outcomes in marketing analytics for Ford Pro. This includes designing and delivering production-grade data science solutions for complex marketing problems, even when standard methods fall short. Apply Expertise: Leverage expert knowledge in at least one data science domain (e.g., forecasting, prediction, causal inference, experimentation) to solve intricate marketing challenges. Strategic Partnership: Collaborate closely with marketing stakeholders to define data-driven strategies, align on roadmaps, and translate complex business requirements into actionable technical tasks. Build Robust Pipelines: Develop and maintain robust, scalable data science pipelines, ensuring high quality, reproducibility, and continuous monitoring of model performance, including detection of feature drift and prediction distributions. Influence & Innovate: Influence team data science strategy, standards, and best practices. Champion knowledge sharing, reusable data science assets, and evaluate emerging technologies and research for potential business applications within the marketing domain. Communicate Insights: Translate complex data insights into strategic implications, fostering data-driven decision-making at higher levels across multiple teams and product areas within Ford Pro.

We are seeking a highly capable and analytical individual to join our Business and Sales Planning Analytics (BSPA) Used Vehicle Valuations team. The primary responsibility of this role is to perform in-depth analysis and modeling of used vehicle residual values, auction prices, and market drivers for the U.S. and Canadian used vehicle markets. The analyst will play a crucial role in supporting key business processes through accurate forecasting, quantifying value gaps, and providing actionable insights to management and business customers. Minimum Qualifications: Master's degree in Statistics, Econometrics, Data Science, or related field 1+ years of experience conducting statistical analysis in a business or academic setting 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.) Ability to effectively communicate, both verbal and written, across different levels of the organizations Experience with Excel and PowerPoint Preferred Qualifications: 3+ years of Auto industry related work (used vehicle market experience a plus) Proficiency in Python for data analysis and model development Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining Have excellent time management skills and be able to handle working on multiple projects at the same time Be able to make reasonable judgments and conclusions with limited information and resources Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts 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 Be aspirational and curious in technical excellence and innovation Have a lifetime learning attitude 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, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This position is a salary grade 7-8. This position is a range of salary grades 7-8. * Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be onsite 4 days per week * *Visa Sponsorship is not provided for this role * 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 **************. #LI-Hybrid #LI-GH2 Develop and maintain models to quantify the relationship between auction prices and key used vehicle residual value drivers Provide used vehicle residual value forecasting to support key business processes Quantify and decompose used vehicle residual value gaps between brands and vehicles Provide data analysis visualization and prepare presentation materials to share with management and business customers Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices Execute both descriptive and inferential ad hoc requests for management and business customers in a timely manner Analyze and interpret model results to identify key trends and insights

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary We're seeking a 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 analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries. Data Quality & Governance: follow 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. Required Qualifications2+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP) Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts. Preferred QualificationsExperience working with healthcare data, especially Epic. Experience using GCP's BigQueryKnowledge of data governance best practices in a cloud environment. Experience working with Machine Learning processes. EducationCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$64,890. 00 - $173,040. 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: 01/09/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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 ************************** .

The Virtual Analysis Engineer (VE) role within the Product Interface (PI) organization focuses on optimizing manufacturability through advanced math-based analysis and data integration. This position ensures Body Manufacturing Requirements (MRs) compliance by leveraging automation, scripting, and cross-platform data connectivity. Key Responsibilities: · Develop and maintain NX scripts and utilities to automate compliance checks at defined math synch points. · Perform manual manufacturability analysis where automated tools are unavailable. · Generate and publish issue reports; collaborate with PI, Stamping, and Manufacturing Engineering teams to resolve gaps. · Create KPI dashboards to monitor compliance and drive process optimization. · Support manufacturing studies using simulation tools for product placement and workflow efficiency. · Integrate data sources across platforms using Azure Databricks and link insights into VE toolsets for real-time decision-making. Required Qualifications: · Bachelor's degree in computer science, Engineering or equivalent experience. · Expertise in Siemens NX scripting (VB.NET and/or Python), GUI development, and software packaging. · Experience with Azure Databricks for data acquisition and integration. · Proficiency in Power BI for dashboard creationand data visualization. · Strong analytical skills for complex problem-solving and process optimization. · Ability to manage priorities and deliver results in a dynamic, multi-program environment. Preferred Qualifications: · Familiarity with Siemens TeamCenter, TcVIS, NX, and Tecnomatix (Process Simulate/Designer). · Knowledge of BIW tool design, GMNA manufacturing standards, and GVDP deliverables. Job Type & Location This is a Contract to Hire position based out of Dearborn, MI. Pay and Benefits The pay range for this position is $43.00 - $50.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Dearborn,MI. Application Deadline This position is anticipated to close on Dec 27, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.