Data scientist jobs in Bedford, MI

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. You'll have... Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering or related field and 3 years of experience in the job offered or related occupation. 3 years of experience with each of the following skills is required: 1. Developing NLP pipelines in Python using at least 2 of the following: NLTK, spa Cy, Gensim, or HuggingFace. 2. Implementing text preprocessing workflows, creating feature extraction algorithms, and building and training models with scikit-learn, TensorFlow, or PyTorch. 3. Developing reusable modules for NLP and writing production-ready code. 4. Querying large datasets in SQL to extract textual information. 5. Designing database schemas optimized for NLP applications. 6. Writing complex queries to join structured and unstructured data sources. 7. Creating ETL processes for text data, optimizing query performance for large text corpora, and implementing database operations in analytics pipelines. 8. Applying supervised Machine Learning techniques to NLP problems, implementing unsupervised methods for text analysis, evaluating model performance with appropriate metrics, building ensemble models, conducting hyperparameter optimization, and applying transfer learning with pre-trained embeddings. 9. Deploying NLP models and pipelines on Google Cloud Platform (GCP) infrastructure. 10. Utilizing AI Platform for training and serving ML models. 11. Managing data storage with Cloud Storage, BigQuery, or Cloud SQL. 12. Implementing data processing pipelines with Dataflow or Dataproc. 2 years of experience with each of the following skills is required: 1. Managing code versioning for collaborative NLP model development, implementing code review processes, and resolving merge conflicts in multi-developer environments. 2. Using Git for CI/CD integration with model deployment and organizing repositories for maintainable ML codebases. 1 year of experience with each of the following skills is required: 1. Using Cloud Functions for serverless text processing and monitoring model performance. 2. Containerizing NLP applications for deployment, creating and managing deployment configurations, and setting up routes and services with OpenShift. 3. Implementing resource allocation and scaling strategies, configuring persistent storage for models and data, and managing deployments with rolling updates. 4. Fine-tuning pre-trained Large Language Models (BERT, GPT, or T5) for domain-specific tasks. 5. Implementing prompt engineering techniques and evaluating LLM outputs for accuracy. 6. Creating embeddings for semantic search, optimizing inference for production, and reducing hallucinations and improving factuality. 7. Building CI/CD pipelines in Tekton for NLP model deployment. 8. Creating reusable pipeline components for text processing, managing workflow triggers, and implementing testing and validation steps. 9. Configuring resource requirements, integrating model evaluation metrics, and setting up automated retraining pipelines. We are offering a salary of $107,848.00 - $182,338.56/yr. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-DNI #DNP What you'll be able to do: Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Develop and deploy Natural Language Processing (NLP) models to extract insights from unstructured textual data. Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics. Design and implement data pre-processing and feature engineering techniques for NLP tasks. Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems. Evaluate and fine-tune models for performance optimization, accuracy, and efficiency. Contribute maintainable code to existing and new pipelines. Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of methodologies and algorithms. Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.

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.

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.

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company's core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion. OneMagnify's commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India. You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration. The Lead Data Scientist is responsible for leading the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value. What you'll do: Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support Translate client goals into clear modeling strategies, project plans, and deliverables Guide the development of production-level model pipelines using tools such as Databricks and Azure ML Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications Monitor and improve model performance, ensuring high standards for reliability and business relevance Present complex analytical results to technical and non-technical audiences in a clear, actionable format Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture Promote best practices in model governance, data ethics, and responsible AI What you need: Minimum 5-7 years of experience in data science, analytics, or predictive modeling Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution Strong programming skills in Python, R, or SAS for modeling and data analysis Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS) Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus Expertise in regression, classification, clustering, A/B testing, and audience segmentation Proficiency with Tableau, Power BI, and Excel for data visualization and communication Strong communication skills and the ability to translate complex technical findings into business insight Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred) Benefits We offer a comprehensive benefits package including medical, dental, 401(k), paid holidays, vacations, and more. About us Whether it's awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges. We are an equal opportunity employer We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://tinyurl.com/nzn6msu *You can apply through Indeed using mobile devices with this link. Job Description The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses. Requirements M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role. Extensive experience solving analytics problems using quantitative approaches. A proven passion for generating insights from data. Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Fluency with at least one scripting language such as Python, Java, or C/C++. Familiarity with relational databases and SQL. Additional Information All your information will be kept confidential according to EEO guidelines.

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. Responsibilities What you'll be able to do: Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Develop and deploy Natural Language Processing (NLP) models to extract insights from unstructured textual data. Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics. Design and implement data pre-processing and feature engineering techniques for NLP tasks. Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems. Evaluate and fine-tune models for performance optimization, accuracy, and efficiency. Contribute maintainable code to existing and new pipelines. Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of methodologies and algorithms. Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner. Qualifications You'll have... Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering or related field and 3 years of experience in the job offered or related occupation. 3 years of experience with each of the following skills is required: 1. Developing NLP pipelines in Python using at least 2 of the following: NLTK, spa Cy, Gensim, or HuggingFace. 2. Implementing text preprocessing workflows, creating feature extraction algorithms, and building and training models with scikit-learn, TensorFlow, or PyTorch. 3. Developing reusable modules for NLP and writing production-ready code. 4. Querying large datasets in SQL to extract textual information. 5. Designing database schemas optimized for NLP applications. 6. Writing complex queries to join structured and unstructured data sources. 7. Creating ETL processes for text data, optimizing query performance for large text corpora, and implementing database operations in analytics pipelines. 8. Applying supervised Machine Learning techniques to NLP problems, implementing unsupervised methods for text analysis, evaluating model performance with appropriate metrics, building ensemble models, conducting hyperparameter optimization, and applying transfer learning with pre-trained embeddings. 9. Deploying NLP models and pipelines on Google Cloud Platform (GCP) infrastructure. 10. Utilizing AI Platform for training and serving ML models. 11. Managing data storage with Cloud Storage, BigQuery, or Cloud SQL. 12. Implementing data processing pipelines with Dataflow or Dataproc. 2 years of experience with each of the following skills is required: 1. Managing code versioning for collaborative NLP model development, implementing code review processes, and resolving merge conflicts in multi-developer environments. 2. Using Git for CI/CD integration with model deployment and organizing repositories for maintainable ML codebases. 1 year of experience with each of the following skills is required: 1. Using Cloud Functions for serverless text processing and monitoring model performance. 2. Containerizing NLP applications for deployment, creating and managing deployment configurations, and setting up routes and services with OpenShift. 3. Implementing resource allocation and scaling strategies, configuring persistent storage for models and data, and managing deployments with rolling updates. 4. Fine-tuning pre-trained Large Language Models (BERT, GPT, or T5) for domain-specific tasks. 5. Implementing prompt engineering techniques and evaluating LLM outputs for accuracy. 6. Creating embeddings for semantic search, optimizing inference for production, and reducing hallucinations and improving factuality. 7. Building CI/CD pipelines in Tekton for NLP model deployment. 8. Creating reusable pipeline components for text processing, managing workflow triggers, and implementing testing and validation steps. 9. Configuring resource requirements, integrating model evaluation metrics, and setting up automated retraining pipelines. We are offering a salary of $107,848.00 - $182,338.56/yr. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-DNI #DNP

**Job Requisition ID #** 25WD92236 Are you passionate about using AI and data to transform enterprise systems and experiences? Do you thrive at the intersection of technical innovation and business strategy? Autodesk's Enterprise Systems & Experience (ESE) organization is looking for a Principal Data Scientist to lead the design and implementation of AI-powered data products, with a special focus on Generative AI, multi-agent systems, and agentic workflows. In this role, you'll operate as both a hands-on technical leader and a trusted advisor to business stakeholders. You'll uncover insights from complex, large-scale datasets, build intelligent automation, and develop sustainable data science solutions that directly enhance Autodesk's employee experience and enterprise efficiency. You will help shape our AI strategy, influence engineering practices, and deliver solutions that connect data, business, and automation. The ideal candidate is equally comfortable writing production-quality code and telling a compelling business story with data. You'll work cross-functionally with engineers, service managers, planners, and executives-turning cutting-edge AI advancements into enterprise-ready automation and insights. **Responsibilities** + Lead AI & Automation Initiatives + Architect and deliver advanced AI and automation solutions, leveraging GenAI, LLMs, multi-agent frameworks, and agentic workflows + Translate complex business problems into data science approaches, guiding model design, prototyping, and production deployment + Data Products& Insights + Build sustainable data products that drive enterprise decision-making and employee experiences + Define and deliver KPIs, metrics, and dashboards that simplify technology and operations data for business leaders. + Partner with service managers and engineers to embed insights into enterprise workflows + Technical Excellence + Design, train, and deploy ML/AI models in multi-cloud environments (AWS and Azure) + Leverage services such as AWS (S3, Glue, SageMaker, Lambda, Athena) and Azure (Data Factory, Synapse, ML, Cognitive Services) + Optimize workflows for data ingestion, cleaning, transformation, and orchestration across diverse data sources + Proactively refactor and improve existing models and pipelines for performance and efficiency + Leadership & Influence + Guide, mentor, and coach other data scientists in best practices, frameworks, and delivery excellence + Partner closely with business leaders to align AI/ML initiatives with Autodesk's strategic objectives + Help evolve ESE's AI, automation, and data science standards, frameworks, and governance practices **Minimum Qualifications** + Minimum Masters degree, preferably in Computer Science, Computer Engineering, Artificial Intelligence or related quantitative field, or 8+ years of relevant or equivalent experience + Strong proficiency in Python and modern data science/ML libraries (Pandas, Scikit-learn, PyTorch/TensorFlow, Keras, LangChain, etc.) + Proven expertise in building, deploying, and maintaining ML/AI models in AWS and/or Azure production environments + Hands-on experience with GenAI, LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent workflows + Solid foundation in statistics, machine learning, and optimization methods. + Proficiency in SQL and relational data modeling + Excellent communication skills-able to explain complex technical concepts to executives and non-technical stakeholders **Preferred Qualifications** + Experience developing and deploying AI/ML solutions in enterprise-scale environments + Familiarity with orchestration tools, vector databases, and graph databases for agentic workflows + Demonstrated ability to influence business outcomes with data storytelling and AI strategy + Experience working in Agile/Scrum environments + Adaptable and comfortable with ambiguity, able to operate independently while driving alignment across multiple teams + Track record of mentoring data scientists and elevating team practices **Learn More** **About Autodesk** Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! **Benefits** From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting ****************************** **Salary transparency** Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $136,000 and $220,000. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. **Equal Employment Opportunity** At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. **Diversity & Belonging** We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: ******************************************************** **Are you an existing contractor or consultant with Autodesk?** Please search for open jobs and apply internally (not on this external site).

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle 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. **EY-Parthenon - EY Growth Platforms - Data Scientist - Director** **The opportunity** EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. **Your key responsibilities** The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data. **Skills and attributes for success** · Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). · Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. · Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). · Build data access layers optimized for ML (feature stores, event streams, vector stores). · Define and enforce standards for data provenance, quality checks, logging, and version control. · Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). **To qualify for the role you must have** · A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. · Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. · Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). · Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). · Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). · Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. · Basic understanding of ML/feature pipelines and downstream modeling needs. · The ability and willingness to travel and work in excess of standard hours when necessary. **Ideally, you will have** · Experience working in a startup and/or management/strategy consulting. · Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. · Collaborative, problem-solving, and growth-oriented mindset. **What we look for** We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. **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 $205,000 to $235,000. 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 ************************** .

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

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all. TEAMAt Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work includes a diverse array of challenges and activities, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications. WHO ARE WE LOOKING FOR?The team is looking for a Senior Data Scientist to spearhead the creation and deployment of sophisticated data models and algorithms to tackle business challenges for the Autonomy team. You will enhance and streamline scalable data pipelines, automation systems for machine learning, and performance assessment. You will also develop algorithms, pipelines and key strategies to optimize the utilization of large-scale fleet data for our next-generation automated driving solutions, influencing millions of Toyota customer vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.RESPONSIBILITIES Lead the development of complex data models and algorithms to solve business problems for the Autonomy team. Design and implement data strategies for collecting, sampling, labeling, and using large scale datasets to enhance machine learning model performance. Develop metrics and tools for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. Analyze model performance metrics, model failure modes, statistical relevance of datasets, etc. to guide the overall ML engineering effort. Design and improve scalable data pipelines and automation for machine learning and performance evaluation. Prepare and present detailed reports and visualizations to stakeholders, clearly communicating complex results to both technical and non-technical audiences. Stay current with advancements in data science and machine learning technologies, driving the adoption of best practices. Work in a high-velocity environment and employ agile development practices. Exhibit a "Giver" mindset, proactively asking, “What can I do for you?” to facilitate production development processes while maintaining a "get things done" mentality. Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions. Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week. MINIMUM QUALIFICATIONS MS or PhD in a quantitative field (e.g. Statistics, Mathematics, Physics) 3+ years of experience solving large-scale data science problems 2+ years of experience with Python and SQL data analysis libraries and packages Experience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling) Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluation Strong communication skills with the ability to communicate concepts clearly and precisely. NICE-TO-HAVES Conducting thorough analyses of large-scale multimodal driving data Leveraging statistical techniques and machine learning algorithms to derive data insights Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions Experience with temporal/sequential and/or spatial data Experience with computer vision (e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping) Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control) Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation). For positions based in Palo Alto, CA, the base pay for this position ranges from $161,000- $264,500 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFERWe are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding 401k program・Flexible vacation policy・Family planning and care benefits Our Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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

Why GM Financial? GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture - an environment that welcomes new ideas, fosters integrity and creates a sense of community and belonging. Here we do more than work - we thrive. Our Purpose: We pioneer the innovations that move and connect people to what matters What makes you an ideal candidate? Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques as well as hands-on experience with NLP, LLMs, and Agentic RAG-based solutions Advanced skills and proficiency in Python, SAS, SQL Ability to design and implement model deployment, documentation and monitoring protocols Comprehensive knowledge and experience with data engineering, and data analysis techniques in cloud environments (Azure/Databricks/AWS/GCP) Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems Ability to interact collaboratively with internal and external customers Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure Domain experience in automotive, telematics, warranty and claim operations Experience and Education 5-7 years in related field or function required Experience leading through mentorship in related field preferred Experience leading projects and initiatives through influence preferred High School Diploma or equivalent required Master's Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required (a combination of education, certifications, and/or work experience may be considered in lieu of an advanced degree) What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive. Compensation: Competitive pay and bonus eligibility Work Life Balance: Flexible hybrid work environment, minimum of 2-days a week in Fort Worth, TX We cannot provide any visa sponsorship for this role now or in the future. About the role: GM Financial is targeting significant growth as it transforms the Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market and we work hands on with our dealer partners to improve performance in their F&I department. To provide the most competitive products and business insights, we are building advanced data and analytics capabilities. The Lead Data Scientist will play a critical role in advancing data science solutions that drive marketing effectiveness and optimize claims management for GM Protection. This position will lead the end-to-end design, development, deployment, and maintenance of advanced analytical and AI-driven systems, ensuring robust, scalable, and production-ready solutions. As a senior technical expert, you will guide projects from concept to production, embedding automation and engineering rigor into workflows to enable continuous integration and reliable delivery. The role demands deep expertise in quantitative methods, strong knowledge of data ecosystems and modern tooling, and a commitment to engineering excellence through code quality, peer reviews, and best practices. You will collaborate closely with cross-functional teams to translate business objectives into actionable solutions, mentor other data scientists, and champion innovation and operational discipline across the data science lifecycle. In this role you will: Provide leadership, coaching, and/or mentoring to data science team Lead the design, development and deployment of advanced mathematical and AI/ML solutions, including NLP and LLM-based systems. Apply advanced analytics to uncover patterns, detect anomalies, and model sequential behaviors in complex datasets. Drive engineering excellence through code reviews, quality standards, and mentoring across the data science team. Establish monitoring frameworks for model performance, drift detection, and continuous improvement. Ensure delivered products meet key business metrics, collaborate with partners to translate objectives into actionable solutions, and advise leadership on strategic use of analytics. Seek needed information and conduct research projects from design through analysis, summarizing findings and communicating insights, recommendations and implications to senior leadership. Prioritize effectively and deliver results within deadlines in a fast-paced environment.

Job Title - Sr Data Scientist * Please note, this role is not able to offer visa transfer or sponsorship now or in the future* We are Cognizant - AIA - Artificial Intelligence and Analytics About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies! Summary As a Consultant/Senior Data Scientist , you will partner with Customer's Design Cost and Complexity Analytics team to deliver advanced analytics and machine learning solutions that optimize vehicle cost and complexity. This role requires deep expertise in data science, strong analytical skills, and the ability to drive strategic insights for operational efficiency and competitive advantage. Roles & Responsibilities Engage with stakeholders to understand complex business requirements and translate them into advanced data science solutions. Provide strategic insights to reduce material costs and optimize design complexity. Design and implement predictive and prescriptive models, leveraging cutting-edge machine learning algorithms. Apply techniques such as data mining, statistical modeling, and optimization algorithms to uncover actionable patterns and trends. Develop robust data pipelines for data ingestion, augmentation, and analysis, ensuring scalability and automation. Optimize model performance for large-scale datasets and production environments. Stay ahead of emerging trends in AI/ML, data science, and analytics tools. Introduce innovative approaches to enhance accuracy, efficiency, and robustness of models. Work closely with cross-functional teams to embed analytics into design workflows. Deliver product backlog items aligned with Ford's strategic objectives and timelines. Required Skills Expertise in Python, SQL, and advanced data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong background in machine learning, predictive analytics, and optimization techniques. Solid foundation in mathematics, statistics, and algorithm design. Experience with cloud platforms GCP and scalable data solutions. Excellent problem-solving, communication, and stakeholder management skills. Knowledge of automotive design processes and cost modeling is highly desirable. * Qualifications Master's degree (MS) in Data Science, Computer Science, Statistics, or related field required. Ph.D. preferred in Data Science, Machine Learning, or a quantitative discipline. * Experience Level 8+ years of experience in data science, analytics, and machine learning, with proven ability to deliver enterprise-scale solutions. * Work Location Dearborn, MI - 4 days at onsite Salary and Other Compensation: Applications will be accepted until Dec 20th 2025 The annual salary for this position is between $130K+ depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: * Medical/Dental/Vision/Life Insurance * Paid holidays plus Paid Time Off * 401(k) plan and contributions * Long-term/Short-term Disability * Paid Parental Leave * Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. * Cognizant is a global community with more than 300,000 associates around the world. * We don't just dream of a better way - we make it happen. * We take care of our people, clients, company, communities and climate by doing what's right. * We foster an innovative environment where you can build the career path that's right for you. About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at ***************** Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Who You'll Work With As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies You will collaborate with cross-functional teams, including Google Cloud architects, data scientists, and business units, to design and implement Google Cloud data and AI solutions. As a Consultant, Senior Consultant or Principal at Slalom, you will be a part of a team of curious learners who lean into the latest technologies to innovate and build impactful solutions for our clients. What You'll Do * Design, build, and operationalize large-scale enterprise data and AI solutions using Google Cloud services such as BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub and more. * Implement cloud-based data solutions for data ingestion, transformation, and storage; and AI solutions for model development, deployment, and monitoring, ensuring both areas meet performance, scalability, and compliance needs. * Develop and maintain comprehensive architecture plans for data and AI solutions, ensuring they are optimized for both data processing and AI model training within the Google Cloud ecosystem. * Provide technical leadership and guidance on Google Cloud best practices for data engineering (e.g., ETL pipelines, data pipelines) and AI engineering (e.g., model deployment, MLOps). * Conduct assessments of current data architectures and AI workflows, and develop strategies for modernizing, migrating, or enhancing data systems and AI models within Google Cloud. * Stay current with emerging Google Cloud data and AI technologies, such as BigQuery ML, AutoML, and Vertex AI, and lead efforts to integrate new innovations into solutions for clients. * Mentor and develop team members to enhance their skills in Google Cloud data and AI technologies, while providing leadership and training on both data pipeline optimization and AI/ML best practices. What You'll Bring * Proven experience as a Cloud Data and AI Engineer or similar role, with hands-on experience in Google Cloud tools and services (e.g., BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub, etc.). * Strong knowledge of data engineering concepts, such as ETL processes, data warehousing, data modeling, and data governance. * Proficiency in AI engineering, including experience with machine learning models, model training, and MLOps pipelines using tools like Vertex AI, BigQuery ML, and AutoML. * Strong problem-solving and decision-making skills, particularly with large-scale data systems and AI model deployment. * Strong communication and collaboration skills to work with cross-functional teams, including data scientists, business stakeholders, and IT teams, bridging data engineering and AI efforts. * Experience with agile methodologies and project management tools in the context of Google Cloud data and AI projects. * Ability to work in a fast-paced environment, managing multiple Google Cloud data and AI engineering projects simultaneously. * Knowledge of security and compliance best practices as they relate to data and AI solutions on Google Cloud. * Google Cloud certifications (e.g., Professional Data Engineer, Professional Database Engineer, Professional Machine Learning Engineer) or willingness to obtain certification within a defined timeframe. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position the target base salaries are listed below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The target salary pay range is subject to change and may be modified at any time. East Bay, San Francisco, Silicon Valley: * Consultant $114,000-$171,000 * Senior Consultant: $131,000-$196,500 * Principal: $145,000-$217,500 San Diego, Los Angeles, Orange County, Seattle, Houston, New Jersey, New York City, Westchester, Boston, Washington DC: * Consultant $105,000-$157,500 * Senior Consultant: $120,000-$180,000 * Principal: $133,000-$199,500 All other locations: * Consultant: $96,000-$144,000 * Senior Consultant: $110,000-$165,000 * Principal: $122,000-$183,000 EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We are accepting applications until 12/31. #LI-FB1

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: [email protected] #CJ $112,597.33 - $152,810.66 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Benzinga is seeking a technical Data Engineer to join our team. In this role, you will be responsible for building out and improving the data platform that collects, stores, and processes our vast amount of web traffic, advertising, financial, and product usage data. Your expertise and collaboration with other members of our team will be crucial in ensuring the integrity, availability, and performance of our data platform, enabling analytics engineers and partners to make data-driven decisions. Key Responsibilities: ● Build and maintain efficient and reliable ETL software processes that ingest data from various sources into our data platform. ● Ensure data integrity, quality, and security across all data systems and processes. ● Collaborate with stakeholders to understand data needs and deliver solutions that meet business requirements. ● Monitor and troubleshoot data pipeline performance, addressing any issues that arise promptly. ● Innovate and collaborate with fellow Sr Data Engineer to help design, plan out, and improve the new data platform ● Implement best practices for data governance, including metadata management, data cataloging, and data privacy compliance. ● Stay current with emerging technologies and trends in data engineering and apply them to improve our data infrastructure. Qualifications: - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience. - 3+ years of experience in data engineering, software development, or a related role - Strong experience with cloud platforms like AWS, GCP, or Azure, and familiarity with data warehousing solutions like Snowflake, Redshift, or BigQuery. - Knowledge of software design principles, programming best practices, proper code maintenance, and CI/CD pipelines - Advanced Python skills - Proficiency in SQL - Solid understanding of database systems and experience with data modeling and schema design. Preferred Experience: - Experience with Distributed Computing i.e. Spark - Experience with Containerization i.e. Docker - Exposure to web application, marketing, or advertising data - Experience in the financial services or media industry.

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

All Covered, IT Managed Services Division of Konica Minolta Business Solutions, has an exciting opportunity available for a Data Engineer! Seeking a Data Engineer to join our growing Data Science & Analytics team. The Engineer must be familiar with Microsoft SQL Server and be technically proficient in data warehousing and dimensional modeling. Familiarity with tools such as Python, C#, Microsoft SSIS, Azure Data Factory, and Business Intelligence Tools such as PowerBI and/or Dundas BI. He or she will work in a small team of data engineers and data scientists supporting data warehouses for Canada and the United States. The candidate will work to maintain and enhance our data platform and enable the organization to gain new business insights. The candidate must be comfortable working with a wide range of stakeholders and be able to collaborate across teams to solve technical challenges and drive business results. Responsibilities * Design and implement and maintain enterprise-scale data warehouse solutions using dimensional modeling best practices (Kimball methodology, Star Schema) * Ingest and stage data following pre-defined patterns and methods * Architect and optimize data pipelines using modern ETL/ELT tools including Azure Data Factory, SSIS, or Python/C# * Support organization data products and analytics needs * Implement data quality frameworks and monitoring to ensure data integrity and trustworthiness * Build and launch new data models and data pipelines in production * Maintain clear, up-to-date documentation for deployed models, pipelines, architecture, and workflows * Leverage source control and DevOps processes to standardize workflows and automation Qualifications * Undergraduate degree in Computer Science, Math, Physics, or related technical fields * 4+ years of professional experience as data architect, data engineer, data scientist, etc. * Hands-on experience building secure and reliable data architecture on Microsoft SQL Server, particularly with SSIS, Python and/or C# * Experience working with scalable data systems that leverage a hybrid approach of batch processing and real-time data streaming * Experience working in source control and DevOps/DataOps environments * Experience in data warehousing and data modeling, data architecture, ETL/ELT processes, version control and DevOps practices like CI/CD pipelines and infrastructure-as-code tools * Understanding of how to maintain ETLs operating on a variety of structured and unstructured sources * C#, Python, Azure Data Factory and SQL skills for data manipulation, scripting and automating workflows * Strong critical thinking and problem-solving skills * Strong communication skills for technical and non-technical audiences Preferred Experience and Skills: * Experience working in an agile/scrum delivery model * Understanding of open-source tooling and their applications within the data ecosystem * Experience working with a CLI and scripting for efficient system administration * Experience implementing monitoring, alerting, and logging mechanisms for proactive system health checks About Us Konica Minolta Business Solutions' (Konica Minolta) journey started more than 150 years ago, with a vision to see and do things differently. The company partners with clients to Give Shape to Ideas by supporting their digital transformation through its expansive Intelligent Connected Workplace portfolio. Its business technology offerings include IT Services, intelligent information management, video security solutions and managed print services, as well as office technology and industrial and commercial print solutions. 2025 marks Konica Minolta's 20th anniversary in production print, for which it celebrates "20 Years of Excellence, Innovation and Impact," and continues to lead the way in digital commercial printing. This year also commemorates 20 years of Konica Minolta's bizhub brand. Over the past two decades, the bizhub series has revolutionized office technology and redefined how businesses operate. It has continuously evolved to meet the needs of modern workplaces, fueled by advances in technology and a commitment to innovation. Konica Minolta is proud to be ranked on the Forbes 2025 America's Best Large Employers list, included on CRN's MSP 500 list numerous times; recognized as the #1 Brand for Customer Loyalty in the MFP Office Copier Market by Brand Keys for eighteen consecutive years and presented with Keypoint Intelligence's BLI 2025 and 2021 A3 Line of The Year and BLI 2021-2023 Most Color Consistent A3 Brand Awards for its bizhub One i-Series. For more information, please visit Konica Minolta online and follow it on Facebook, YouTube, LinkedIn and Twitter. Konica Minolta operates on a North American Shared Services model, which aligns cross-border priorities and enhances delivery to its field organization. This combines service functions in the U.S. and Canada, ultimately providing more resources to support areas such as sales administration, logistics and supply chain, marketing, product planning, finance, IT, HR and legal. Au sujet de Konica Minolta Solutions d'affaires Konica Minolta (Konica Minolta) a entamé son parcours il y a plus de 150 ans, avec la volonté de voir et de faire les choses autrement. Elle fait équipe avec ses clients pour donner forme à leurs idées en appuyant leur transformation numérique grâce à un riche portefeuille de solutions pour un milieu de travail connecté et futé. Parmi ses technologies d'affaires, on retrouve des services de TI, la gestion intelligente de l'information, des solutions de sécurité vidéo et des services d'impression gérés ainsi que des technologies de bureau et des solutions d'impression industrielle et commerciale. L'année 2025 marque le 20e anniversaire de l'entrée de Konica Minolta dans le marché de l'impression de production; l'entreprise souligne " 20 années d'excellence, d'innovation et de résultats " tout en continuant d'être une figure de proue dans l'impression numérique commerciale. C'est aussi l'année où la marque bizhub de Konica Minolta célèbre ses 20 ans, au cours desquels la gamme a révolutionné la technologie de bureau, redéfini les processus des entreprises, et évolué continuellement pour répondre aux besoins des milieux de travail modernes, mue par les avancées technologiques et la volonté d'innover. Konica Minolta est fière de faire partie du palmarès 2025 des meilleurs grands employeurs d'Amérique de Forbes, d'avoir figuré à plusieurs reprises au palmarès CRN des 500 fournisseurs de services gérés, d'avoir été nommée la marque numéro un en matière de fidélité des clients sur le marché des appareils de bureau multifonctions par Brand Keys pendant 18 années consécutives, et de s'être vue décerner les prix BLI " A3 Line of the Year " 2021 et 2025 et " Most Colour Consistent A3 Brand " 2021-2023 de Keypoint Intelligence pour sa gamme bizhub One i-Series. Pour en savoir plus, rendez-vous sur le site de Konica Minolta et suivez l'entreprise sur Facebook, YouTube, LinkedIn et Twitter. Konica Minolta fonctionne selon un modèle de services partagés nord-américain qui permet d'harmoniser les priorités transfrontalières et d'améliorer la prestation de services aux organisations opérationnelles. Le modèle combine des fonctions de service américaine et canadienne afin d'offrir davantage de ressources aux services de soutien comme l'administration des ventes, la logistique et la chaîne d'approvisionnement, le marketing, la planification des produits, la finance, les TI, les RH et les services juridiques. EOE Statement Konica Minolta is an equal opportunity and affirmative action employer. We consider all qualified applicants for employment without regard to race, color, religion, creed, national origin, sex, pregnancy, age, sexual orientation, transgender status, gender identity, disability, alienage or citizenship status, marital status or partnership status, genetic information, veteran status or any other characteristic protected under applicable law. Konica Minolta Business Solutions (Canada) Ltd. is an equal opportunity employer. Solutions d'affaires Konica Minolta (Canada) Ltée. est un employeur d'opportunité égale.