Senior data scientist jobs in Toledo, OH - 64 jobs

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.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... We are looking for a Senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar. This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. - We value being Smart. Nice. Curious. Communicative. You'll have... The minimum requirements we seek: • Bachelor's degree in engineering, Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field or a related quantitative discipline. • 5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data • 5+ years of experience using Python, SQL or BigQuery for acquiring and transforming data • 5+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges • Experience with sampling and sample assessment techniques when data are not ideal, especially in structured data with data gaps (e.g. statistical design of experiments, factorial experimental design, Latin hypercube sampling, and others) • Comfortable working in an environment where problems are not always well-defined • Well-organized, a self-starter, independent and ready to work with minimal supervision • A respectful and committed teammate, willing to excel and work with talented people • Inquisitive, proactive, and interested in learning new tools and techniques • Proven quantitative modeling and statistical analysis skills Even better, you may have... Additional preferred requirements: • Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field. • Knowledge of cost modeling, product design (hardware), mechanical engineering or similar • Experience deploying Machine Learning in production (ideally MLOps) for internal or external use • Experience with Google Cloud Platform (GCP) or other cloud systems • Strong oral, written and interpersonal communication skills • Ability to effectively advocate technical solutions to peer, management and business audiences You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ***************************** This position is a range of salary grades 6-8. Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-MD2 What you'll do: • Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations • Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python • Contribute and review code for our code base in GitHub • Make sense of, clean, and assess validity and completeness of data samples from Ford's products, services, and supply chain. • Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering • Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership • Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers • Develop trust with stakeholders and peers by delivering results on time • Ensure overall quality of the data & solutions throughout the development process • Provide training and maintenance of implemented tools to business partners • Collect feedback from business users and continuously improve analytic products • Mentor more junior data scientists by being a role model and advisor on the above tasks • Find areas to lead and innovate as a Senior Data Scientist on the team

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

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... We are looking for a Senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar. This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. - We value being Smart. Nice. Curious. Communicative. Responsibilities What you'll do: • Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations • Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python • Contribute and review code for our code base in GitHub • Make sense of, clean, and assess validity and completeness of data samples from Ford's products, services, and supply chain. • Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering • Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership • Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers • Develop trust with stakeholders and peers by delivering results on time • Ensure overall quality of the data & solutions throughout the development process • Provide training and maintenance of implemented tools to business partners • Collect feedback from business users and continuously improve analytic products • Mentor more junior data scientists by being a role model and advisor on the above tasks • Find areas to lead and innovate as a Senior Data Scientist on the team Qualifications You'll have... The minimum requirements we seek: • Bachelor's degree in engineering, Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field or a related quantitative discipline. • 5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data • 5+ years of experience using Python, SQL or BigQuery for acquiring and transforming data • 5+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges • Experience with sampling and sample assessment techniques when data are not ideal, especially in structured data with data gaps (e.g. statistical design of experiments, factorial experimental design, Latin hypercube sampling, and others) • Comfortable working in an environment where problems are not always well-defined • Well-organized, a self-starter, independent and ready to work with minimal supervision • A respectful and committed teammate, willing to excel and work with talented people • Inquisitive, proactive, and interested in learning new tools and techniques • Proven quantitative modeling and statistical analysis skills Even better, you may have... Additional preferred requirements: • Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field. • Knowledge of cost modeling, product design (hardware), mechanical engineering or similar • Experience deploying Machine Learning in production (ideally MLOps) for internal or external use • Experience with Google Cloud Platform (GCP) or other cloud systems • Strong oral, written and interpersonal communication skills • Ability to effectively advocate technical solutions to peer, management and business audiences You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ***************************** This position is a range of salary grades 6-8. Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-MD2

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.

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. **AI & Data -** **Data Modeler - Senior** We are seeking a highly skilled Senior Consultant Data Modeler with expertise in delivering data models that meet business requirements. 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 models and solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Modeler, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Lead the design and development of **conceptual, logical, and physical data models** for the Enterprise Data Warehouse (EDW), adhering to **Kimball dimensional methodology (dimensional modeling approach), a core skill for this role** . + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 7+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Cloud knowledge and/or certification. Preferably Azure DP-203 + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + Spanish speaking + Italian speaking **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. 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 ************************** .

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 financial and analytic workloads. Key Responsibilities:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads. Required Qualifications5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines. Strong proficiency in SQL and experience in developing complex queries. Familiarity with py Spark, DBT, or other similar frameworks. Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). Understanding of data warehousing concepts, dimensional modeling, and building data marts. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred QualificationsKnowledge of data governance best practices in a cloud environment. Experience with data design in BigQueryExperience working with the Epic data model. Experience working with healthcare data (Claims and Admissions) Education and ExperienceCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$83,430. 00 - $222,480. 00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 01/27/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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

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

Responsibilitiesarrow_right * Design and Build Data Pipelines: Develop, implement, and maintain robust, scalable data pipelines and ETL processes to integrate data from diverse sources. * Cloud Data Infrastructure: Collaborate with IT and business teams to set up and optimize advanced cloud-based data infrastructure, supporting AI-driven models and analytics. * Data Transformation & Modeling: Create algorithms and data models to convert raw data into actionable insights, aligning with business objectives. * Data Quality & Security: Ensure data integrity, quality, and security across all systems, implementing validation, backup, recovery, and disaster recovery plans. * Pipeline Optimization: Continuously evaluate and enhance data systems and processes for improved efficiency, reliability, and performance (including query tuning and indexing). * Migration & Modernization: Lead migration of on-premises data systems to cloud solutions, focusing on Azure and modern data architectures (e.g., real-time processing, data warehousing). * Collaboration: Work closely with data scientists, analysts, and other stakeholders to meet organizational data needs and drive strategic data management projects Qualificationsarrow_right * Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. * Proficiency in Python and SQL; experience with both relational and non-relational databases (MS SQL, Azure SQL Database). * Hands-on experience with Databricks, Azure Data Factory, and modern data warehouse tools. * Familiarity with real-time data processing tools (e.g., Kafka, Flink) is a plus. * Experience with CI/CD pipelines, automation for data deployments, and infrastructure as code (e.g., Terraform). * Strong understanding of data security, backup, and recovery best practices. * Knowledge of cloud infrastructure management, particularly on the Azure platform. * Domain Knowledge: Experience in automotive and/or chemical data domains is a plus. * Communication & Collaboration: Communicates clearly and concisely, while serving as a sparring partner to internal/external stakeholders. Fosters teamwork between employees and across the organization. * Value for Customers: Drives a customer-oriented business strategy and provides indispensable support to deliver successful outcomes. * Innovation: Envisions the impact of potential future trends and proactively drives necessary changes. Encourages creativity and initiative from employees. * Drive & Execution: Inspires and motivates self and others, while taking full accountability for actions and results.

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

Benefits: 401(k) 401(k) matching Competitive salary Dental insurance Health insurance Paid time off Vision insurance Senior Healthcare Data Analyst Industry: Healthcare Reports To: President & CEO PURPOSE This position leads data analytics and insight for a local healthcare coalition. Managing and interpreting healthcare data to support provider contracting, business development, and member experience are primary responsibilities. The Senior Healthcare Data Analyst ensures compliance with all regulatory requirements and provides reporting to assist the President & CEO in strategic planning and best practice business procedures. This position is the liaison between software vendors, the organization and its' members. Management and configuration of internal and vendor software is a core function. ACCOUNTABILITIES Responsible for compliance with all data management and reporting regulations. Data Analytics: Analyzing data to identify trends, patterns, and insights that can inform strategic decisions. Interpreting data to support provider contracting and healthcare provider pricing activities and administration of a managed care network; leads the analysis and reporting of healthcare quality, cost and utilization data. Collect, analyze and interpret health care data to develop network discount analyses, utilization, cost and quality analyses or other benchmarking analyses and reports. Manage data collection process for provider contract renewals or pricing: gather, organize, and summarize data; Provide analytical support for managed care network development including provider pricing and contract base analyses, results summaries and recommendations and assist in other PPO contracting activities as directed. Provide reports and financial analysis/prep to support negotiations. Predictive analytics, estimate future network costs and develop pricing models and data analysis. Management and configuration of internal and vendor software. Evaluation of technology business partners and industry opportunities such as AI. Establishes key metrics and reporting that provides valuable data to members. Manages website; updating and ensuring accuracy of information posted publicly. Develop and generate standard claims repricing reporting; Create data summary reports. Conduct network performance/administration analysis and prepare network administrative tools. Work with Request for Proposal (RFP) team on RFP responses and related issues; Review proposal responses for reasonableness, accuracy, and meeting requirements. Develop awareness of health care plan design, cost factors and the renewal process. Conduct service area analysis and reporting which may include analyses such as GeoAccess analysis and other provider access analysis. Complete special projects and ad hoc report requests as assigned. Other duties as assigned. GENERAL INFORMATION Bachelor's degree in accounting, finance, business administration, mathematics, economics, statistics or related field required. Master's Degree Preferred. Prior healthcare finance or managed care reimbursement experience preferred. Prior healthcare information technology experience preferred. Excellent quantitative, analytical, database, and spreadsheet utilization skills required with strong orientation to detail and complex problem solving skills. Strong experience with managed care and governmental reimbursement methodologies, healthcare financial analysis. Experience in healthcare industry regulations is required. Excellent interpersonal skills; strong oral and written communication skills with the ability to communicate effectively with a variety of audiences. Ability to prioritize and perform several tasks/projects simultaneously with attention to detail. Ability to work independently and on a team. Successful track record of managing multiple deadlines. The above list of duties is intended to describe the general nature and level of work performed by the incumbent. It is not to be construed as an exhaustive list of duties performed by the incumbent. Position Overview/ Ad for position. FrontPath Health Coalition is a mission-based, not-for-profit provider network spanning across Northwest Ohio, Southeastern Michigan, and Northeastern Indiana. FrontPath is a member-focused coalition dedicated to providing flexible and cost-effective benefit solutions to health plan sponsors in collaboration with our broad network of providers. FrontPath is committed to reducing health costs for the community by preserving access to quality care at a fair price. This position is located in Perrysburg, Ohio and reports directly to the President & CEO. This is a unique opportunity for the right candidate to join an expanding organization and influence strategic direction, growth, and coalition member satisfaction. Qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, religion, sex/gender (including pregnancy), sexual orientation, gender identity or gender expression, age, physical or mental disability, military or protected veteran status, citizenship, familial or marital status, genetics, or any other legally protected category. In compliance with the Americans with Disabilities Act Amendment Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a job please send an email to ******************************. FrontPath is a not for profit, cooperative venture that partners area businesses, public entities and labor organizations (Members) with our region's healthcare provider community. FrontPath is not just another health care benefits or insurance product. Since we began in 1988, FrontPath has understood that enhancing quality not only improves health care, but ultimately improves efficiencies and reduces costs.

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Senior Data Center Migration Architect On behalf of our client, Procom Services is searching for a Senior Data Center Migration Architect for a contract opportunity in Dearborn, MI. Senior Data Center Migration Architect Job Details Design the application services data center architecture for a major application migration project for a large manufacturing company to plan the transfer of applications from a legacy data center into a cutting edge technology data center. Provide architecture strategy for a hybrid cloud environment. Provide front line representation of the project to C-level executives. Analyze application portfolio to create application migration groups. Direct onshore and offshore teams to perform analysis, remediation, and application migration activities. Design the migration factory. Individual selected will be able to clearly demonstrate their acquired knowledge of data center architecture, data center operations and data center transformations to an expert level. Senior Data Center Migration Architect Mandatory Skills Experience developing data center migration strategy and key components of a data center migration Experience designing and leading the transformation of large scale data center is required Experienced working with C-level executives on project status, project vision, strategic direction and industry best practices Experience with Pivotal and VMware solutions Experience managing 10+ member teams, define KPIs for the project activities, and measure the teams progress against defined KPIs Understanding of how to develop a service framework Ability to provide expert strategic advice for cloud application development, cloud application deployment, designing a private cloud infrastructure, private versus public cloud options, virtualization, containerization, and DevOps Ability to discover application characteristics of mainframe, midrange, and Wintel applications that will help define migration groups Experience assessing applications and application architecture Prepare a technical and architecture plan Senior Data Center Migration Architect Start Date ASAP Senior Data Center Migration Architect Assignment Length 12+ months Additional Information All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.

Dearborn, MI Department: D2C Reports To: Manager, D2C Analytics Job Classification: RemoteFLSA Status: Exempt Job Band: Professional Inspired by Hard WorkIn everything we do, we honor the hardworking legacy of our founder, Hamilton Carhartt. We drive innovation by finding new, better ways to achieve success. We earn trust through honesty, integrity, and authenticity. We build lasting customer relationships by delivering solutions that prioritize their needs. Above all, we believe actions speak louder than words-because we are worn by the hardest-working people of all. Job Summary The Senior Digital Data Analyst is responsible for analyzing, predicting and providing data and information in a manner where the business can act. The position deliverables include presentations, insights, recommendations and reports using digital data to support the consumer journey and the execution of consumer-facing programs and services. This individual will have a seat at the table of strategic decision-making and provide leadership over tracking deliverables and project timeframes. This position will share strategic responsibility for tracking requirements and will need to anticipate analytics needs of organization to ensure that digital data is available and of high quality. They will own ensuring tagging is complete on website by providing digital tracking requirements documentation and performing testing of implemented tags. They will also share responsibility to increase self-service usage of Adobe across the organization. Associate Responsibilities • Correlate and track unique new and repeat visitor trends, consumer profiles and user behavior trends • Understand website effectiveness and conversion funnel including pathing and fallout analysis • Create vision for digital marketing tracking strategy and ensure visits are classified in the correct marketing channel. • Understand digital marketing effectiveness and develop analysis and recommendations for increased effectiveness. • Provide analysis of key digital feature usage such as personalization, create a return, chat with customer service and create an account • Provide oversight that tracking requirements for website (i.e. assignment of eVars, sProps, and Events) ensure that analysis of Key Performance Indicators and Key Business Requirements are possible. • Maintain SDK and perform testing on implemented tracking • Set up and maintain data connections, Marketing Channels and SAINT Classifications • Build reports in Adobe to answer key repeatable business questions that can be accessed at any time and manage subscriptions • Provide self-service training and mentor business end users on how to think about assigning KPI's to their business, build reports, and pull related data from Adobe. • Use all tools at disposal to knit together holistic view of consumer journey, including Quantum Metrics, Evergage and Adobe Analytics • Tie threads with other data analysts to provide cross-domain view of consumer interaction with the Carhartt brand across Carhartt.com, Carhartt Company Gear Direct to Consumer, and Carhartt.com EMEA Required Education • Bachelor's degree in Math, Statistics, Computer Science, Engineering, Economics. or related field and/or equivalent years of relevant experience. Required Skills & Experience • Minimum of 5-6 years of BI and Analytics experience inclusive of 2-3 years building dashboards and delivering clickstream analysis & recommendations using Adobe Analytics or Google Analytics • 1 year using Tealium and proficiency with Utag data layer preferred • Experience presenting to & working with all levels of management, including negotiation of deliverables • Proficient at debugging and identifying root cause of tracking issues; demonstrated knowledge of common types of issues • Exemplify a sophisticated understanding of how web analytics tooling works, such as persistence of IDs/variables, cross-device tracking, data layers and processing rules • Experience deploying analytics in asynchronous/single page application (built on Angular.js) preferred • Demonstrated curiosity resulting in ability to turn insights into recommendations • Strong cross-functional collaboration skills and the proven ability to work effectively with numerous stakeholders and contributors, both internally and externally • Excellent written and oral communication skills with the proven ability to communicate with all levels including management and retail partners • Strong organizational skills with demonstrated ability to prioritize workload and attention to detail Physical Requirements and Working Conditions • Typical office environment; office setting. • Extended periods of time sitting, standing, typing on a computer is required. • Willing to work some weekends if necessary. • National travel required (up to 10%).Choose a Work Location Classification. • Carhartt is a tobacco free workplace. #LI-Remote

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

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

Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description Location: 30 Frank Lloyd Wright Dr. Ann Arbor, MI 48105 Type: Hybrid, Onsite Monday-Thursday with Friday's being flexible Salary - 140-150k base with a 15% annual bonus based on company performance A strategic and experienced Senior Data Governance Analyst to lead and enhance enterprise-wide data governance initiatives. This role ensures alignment of data standards and drives improvements in data quality and usability across the organization. The Senior Data Governance Analyst is a key driver of the organization's data governance strategy, ensuring that data assets are accurate, consistent, and trusted across the enterprise. This role goes beyond operational support to provide thought leadership in shaping governance frameworks, policies, and standards that enable data-driven decision-making. Key Responsibilities: Enterprise Stakeholder Engagement Lead cross-functional working sessions to define enterprise-wide KPIs and metrics. Resolve conflicts in metric definitions across departments. Act as a liaison between business and technical teams to ensure alignment. Metadata Strategy & Stewardship Own the structure and governance of the enterprise data catalog. Decide which definitions are authoritative and manage versioning. Define metadata schemas and ensure consistent application across platforms. Advanced Data Modeling & Architecture Design and document complex data relationships, including many-to-many mappings and hierarchical structures. Collaborate with data architects to ensure models support analytics and reporting needs. Review and approve schema changes for governed datasets. Reusable Metric Logic Design Architect scalable, reusable logic for metric generation across platforms (e.g., BI tools, data lakes). Optimize SQL/Python functions for performance and maintainability. Ensure consistency in metric calculations across business units. Governance Policy Development & Enforcement Develop and refine data governance policies, including data quality rules, naming conventions, and stewardship models. Monitor compliance and lead remediation efforts for non-conforming data assets. Mentor junior analysts on governance best practices. Strategic Documentation & Communication Create executive-level dashboards and visualizations to communicate governance maturity and impact. Develop training materials and lead onboarding sessions for new data stewards. Present governance strategies and outcomes to leadership and stakeholders. Qualifications 5+ years of experience in data governance, data architecture, or analytics Strong proficiency in Python for data manipulation and automation Deep understanding of data modeling and metadata management Experience with data cataloging tools and governance platforms Proven ability to lead cross-functional initiatives and mentor junior analysts Excellent communication and strategic thinking skills Additional Information All your information will be kept confidential according to EEO guidelines.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach + Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Structuring, write, communicate and facilitate client presentations; and, + Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing AI/GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... We are looking for a Senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar. This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. - We value being Smart. Nice. Curious. Communicative. We are looking for a Senior Data Scientist to support design cost and complexity analytics. A successful candidate must have experience in machine learning operations and be a proven communicator who effectively interfaces between technical and business teams, and a reliable team player. The ideal candidate will have knowledge of cost modeling, product design (hardware), mechanical engineering or similar. This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. What you'll do: * Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations * Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python * Contribute and review code for our code base in GitHub * Make sense of, clean, and assess validity and completeness of data samples from Ford's products, services, and supply chain. * Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering * Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership * Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers * Develop trust with stakeholders and peers by delivering results on time * Ensure overall quality of the data & solutions throughout the development process * Provide training and maintenance of implemented tools to business partners * Collect feedback from business users and continuously improve analytic products * Mentor more junior data scientists by being a role model and advisor on the above tasks * Find areas to lead and innovate as a Senior Data Scientist on the team What you'll do: * Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations * Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python * Contribute and review code for our code base in GitHub * Make sense of, clean, and assess validity and completeness of data samples from Ford's products, services, and supply chain. * Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering * Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership * Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers * Develop trust with stakeholders and peers by delivering results on time * Ensure overall quality of the data & solutions throughout the development process * Provide training and maintenance of implemented tools to business partners * Collect feedback from business users and continuously improve analytic products * Mentor more junior data scientists by being a role model and advisor on the above tasks * Find areas to lead and innovate as a Senior Data Scientist on the team