Data engineer jobs in Royal Oak, MI

Akkodis is seeking a Data Engineer (SAP EWM implementations) for a Contract job with a client in Allen Park, MI. "The ideal candidate should have experience with SAP EWM implementations." Rate Range: $65/hour to $68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Engineer Job responsibilities include: Design, build, and configure SAP EWM solutions aligned with business processes and requirements. Lead end-to-end SAP EWM implementations for automotive warehouses and manufacturing sites. Collaborate with customers to define processes, create and validate functional specs, and deliver complex solutions. Provide user training and on-site hypercare support to ensure smooth, timely, and cost-effective go-lives. Desired Qualifications: Bachelor's Degree in Computer Science or a related field. 7+ years of combined experience in Data Engineering. SAP EWM implementations experience. Advanced Business Application Programming (ABAP) If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ************ or ******************************** Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

*Job Title: Cloud Engineer / Software Engineer - IATF ADP Platform* Do not pass up this chance, apply quickly if your experience and skills match what is in the following description. We are seeking a highly skilled and motivated *Cloud Engineer* to lead the development, deployment, and maintenance of the IATF ADP Learning Management System and Program Administration Platform. This role centers on designing and managing a complex, multi-tiered cloud architecture hosted on AWS, ensuring the platform meets the highest standards of *security, scalability, and performance.* While cloud infrastructure expertise is the primary focus, candidates with additional *full-stack development experience* will be well-positioned to contribute to application enhancements and integrations. *Key Responsibilities* * *Architect, manage, and optimize AWS infrastructure* including EC2, ECS, RDS, Lambda, S3, CloudFront, IAM, and related services. * Implement and maintain *CI/CD pipelines* using GitHub Actions and AWS Systems Manager (Ansible). * Ensure platform *security and compliance* with standards such as PCI DSS, GDPR, and OFAC. * Monitor system performance, troubleshoot distributed environments, and proactively resolve issues. * Collaborate with cross-functional teams to support deployment, testing, and scaling of the platform. * Maintain clear documentation and deployment scripts for reproducibility and traceability. * (Nice to Have) Contribute to *application development* using PHP 8.2+, Node.js 20+, and related frameworks. * (Nice to Have) Integrate third-party services and libraries (e.g., SpreadJS, phpdocx, Nutrient Document Engine). *Required Skills and Technologies* * *Cloud Platforms (Preferred Core Expertise):* AWS (EC2, ECS, Lambda, RDS, S3, CloudFront, IAM, KMS, WAF, Secrets Manager, etc.) * *DevOps Tools:* Docker, GitHub Actions, Ansible * *Databases:* MySQL, MongoDB Atlas * *Search & Caching:* Redis, OpenSearch/ElasticSearch * *Security & Compliance:* IAM, KMS, WAF, Secrets Manager * *Version Control:* GitHub * *Other:* REST APIs, OpenID Connect, CDN, multi-region deployment *Nice to Have (Full-Stack Development):* * Programming Languages: PHP, Node.js, JavaScript * Third-Party Integrations: Freshdesk, Telzio, BC Solutions, phpdocx, SpreadJS *Education Requirements* * Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field. * *Preferred:* Master's degree or certifications in AWS (e.g., AWS Certified Solutions Architect), DevOps, or Cloud Security. *Preferred Experience* * 2-5 years of experience in *cloud engineering* and infrastructure management. * Experience with Learning Management Systems (LMS) or Business Process Management (BPM) platforms. * Familiarity with secure document handling, DRM, and compliance frameworks. xevrcyc * Hands-on experience in full-stack application development. Pay: $107,000.00 - $134,000.00 per year Benefits: * 401(k) * 401(k) matching * Dental insurance * Employee assistance program * Flexible schedule * Flexible spending account * Health insurance * Life insurance * Paid time off * Parental leave * Professional development assistance * Retirement plan * Tuition reimbursement * Vision insurance Education: * Bachelor's (Required) Experience: * cloud engineering and infrastructure management: 2 years (Required) Language: * English (Required) Ability to Commute: * Southfield, MI 48075 (Required) Work Location: Hybrid remote in Southfield, MI 48075

: Apply fast, check the full description by scrolling below to find out the full requirements for this role. United Wholesale Mortgage is hiring a Senior Software Developer for an on-site position in Pontiac, MI. WHAT YOU WILL BE DOING: Develop scalable AI/ML models and systems using cutting-edge technology Participate in project focused Scrum rituals (standup, grooming, planning, retrospective) Work with AI Scientists, ML Engineers, Product Managers, and Architects to collaborate and build industry-leading AI solutions Develop and design data pipelines, model training/inference services, and data storage solutions Promote best practices and patterns in software development Promote MLOps best practices for model versioning, deployment, and monitoring Research and assess new technologies Mentor new developers and support cross-functionality of roles WHAT WE NEED FROM YOU: Required: 7+ Years of professional work experience in Python software development Extensive experience with core AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, XGBoost) Experience with Python RESTful APIs using Fast API, ensuring effective communication between backend systems and applications Experience with relational and/or NoSQL databases (e.g., SQL, Google FireStore, Azure Cosmos DB) Bachelor's degree in CS, IT, Computer Engineer or related field Experience building and deploying machine learning models in a production environment Ability to work with limited guidance in a team environment Expert knowledge of object oriented programming This position requires on-site attendance. Preferred: Experience with Cloud Platforms (GCP Preferred, AWS, Azure) and their AI/ML services like Gemini Experience with Jira Experience in an Agile environment Experience with Python unit testing frameworks (e.g., pytest) Experience with .NET Knowledge of SOLID principles THE PLACE & THE PERKS: Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans? It's all happening on UWM's campus, where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement. It's no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It's at the very heart of how we treat each other, our clients and our community. Whether it's providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life. From the team member that holds a door open to the one that helps guide your career, you'll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you'll be welcomed here. Accepted here. And empowered to Be You Here. More reasons you'll love working here include: Paid Time Off (PTO) after just 30 days Additional parental and maternity leave benefits after 12 months Adoption reimbursement program Paid volunteer hours Paid training and career development Medical, dental, vision and life insurance 401k with employer match Mortgage discount and area business discounts Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court Wellness area, including an in-house primary-care physician's office, full-time massage therapist and hair salon Gourmet cafeteria featuring homemade breakfast and lunch Convenience store featuring healthy grab-and-go snacks In-house Starbucks and Dunkin Indoor/outdoor café with Wi-Fi DISCLAIMER: All the above duties and responsibilities are essential job functions subject to reasonable accommodation and change. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. Team members may be required to perform other or different job-related duties as requested by their team lead, subject to reasonable accommodation. This document does not create an employment contract, implied or otherwise. Employment with UWM is "at-will." UWM is an Equal Opportunity Employer. xevrcyc By selecting "Apply for this job online" you provide consent to UWM to record phone call conversations between you and UWM to be used for quality control purposes.

Teoresi Inc is an international Group, with offices in Europe and United States, that acts as an engineering partner to customers' product and process development. We are always looking for new talents and highly specialized professionals, more specifically for: Calibration Engineer to support the development, validation, and release of engine and transmission control calibrations across internal combustion, hybrid, and electric vehicle powertrains. The role focuses on drivability, emissions, performance, and diagnostics to ensure system compliance with OEM requirements and regulatory standards. Key requirements for the position: Perform vehicle and dynamometer testing to assess drivability, emissions, torque control, and fuel economy Use ETAS INCA/MDA for calibration, data logging, and result analysis. Support DTC analysis in collaboration with Diagnostic Engineers. Participate in vehicle and bench testing to verify sensor and actuator calibration. Support root cause analysis of calibration and control issues during development and production phases. Required Skills: Solid experience with INCA (ETAS) and calibration file management. Strong understanding of engine and transmission calibration strategies for ICE and electrified powertrains. Ability to read and interpret calibration maps and datasets. Experience with CANalyzer / CANcase for complementary vehicle data logging. Familiarity with hybrid systems, powertrain management, and OBD is a plus. Profile Completes: Bachelor's degree in Mechanical, Electrical or Automotive Engineering. 3+ years of experience in powertrain calibration and validation. Knowledge of ETK, XCP, CCP protocols. Strong problem-solving mindset and teamwork capability. Location : Detroit Metropolitan area Type of employment : Full-time Send your application if you are interested in learning more about potential opportunities and projects. Benefits offered by Teoresi, Inc. Teoresi, Inc. provides the following company insurance policies: Health, Vision, Dental, Life, Long Term Disability (LTD) and Short Term Disability (STD). Other benefits offered include 401(K) plan, Flexible Spending Account (FSA), Vacation, Sick paid leave and Holidays. We also inform you that, by sending your application, all your data will be processed in accordance with our privacy policy, which you can view at the following link ********************************************************

Looking for Thermal Performance Engineer with following skills thermal development, HVAC, or cooling systems testing/Validation BEV

MSR Technology Group DBA Infomatics has been an Inc 500/5000 corporation for the last 7 years in a row. We have an urgent need for Thermal Aero Modeler, and this is an Onsite role in Ann Arbor, MI. Please find the job details below. Title: Thermal Aero Modeler Location: Ann Arbor, MI Duration: Long Term Contract Position Description: Job description (Duty & Responsibility): Build and maintain full vehicle models for Aero and Thermal development. Receive input from the lead engineers and run the related cases in STAR CCM+ summarizing the results and negotiating with design as needed. Support physical testing including data analysis and reporting Design experiments to optimize Aero and Thermal designs for current and future projects Lead efforts in collaboration with the Aero-Thermal team to design counter measures for gaps to performance identified by physical and simulated tests Ability to work within and contribute to cross-disciplinary teams with key deliverables being to find a collaborative solution to common design issues. Willingness to participate in, support, and contribute to work-place safety culture and activities. Other tasks as assigned by management. Requirements: General: 3-5 years in CFD modeling experience ANSA: Proficiency in ANSA for part and model preparation for use in CFD simulations STAR CCM+: Proficiency in STAR CCM+ model building, running cases, analyzing results and providing feedback to designers Programming: Knowledge of Python, MATLAB, or similar for data analysis Preferred Skills: Background in automotive design or evaluation Knowledge of Python, MATLAB, or similar for data analysis Experience negotiating changes to meet performance targets Required minimum education and experience: Bachelor's degree in Engineering or Engineering Technology If you have the above skills/experience, please share your resume in confidence to: Recruiter Name: Sravan Email: ************************** EOE

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.

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Our services are vast and we produce software and web products. We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift programming languages to create native applications for iPhone, whereas we use Android Code to develop native applications for Android devices. To create applications that work on cross-platforms, we use a number of frameworks such as Titanium, PhoneGap and JQuery mobile. Furthermore, we build web products and offer services such as web designing, layouts, responsive designing, graphic designing, web application development using frameworks based on model view controller architecture and content management system. Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from this, we also provide IT Staffing services that can help your organization to a great extent as you can hire highly skilled personnel's through us. We make sure that we deliver performance driven products that are optimally developed as per your organization's needs. Take a shot at us for your IT requirements and experience a radical change. Job Description Position: ETL Architect Location: Southfield, MI Duration: Contract to hire Need candidates on W2 only 15-17 yrs. Experience · This person will lead teams and work with management and executives · Must have excellent communication · This person is not hands on but must be able to speak to and understand how things work (Healthcare) · Must have 3-4 yrs. as an architect and be able to show their career progression · Cognos and Business Objects are nice to have The Informatica ETL Architect has the overall responsibility for assessing requirements and defining the strategy, technical architecture, implementation plan and delivery of data warehouse projects. The Informatica ETL Architect must have prior experience completing successful data warehousing implementations as well as broad background and experience with IT application development. This individual is responsible for establishing the long term strategy and technical architecture as well as the short term scope for a multi-phased data warehouse effort and should have strong professional consulting skills and the ability to communicate well at all levels of the organization. Top Skill Set:• Lead ETL architecture and design as well as data flow diagramming• Define and implement ETL development standards & procedures• Ensure ETL quality through code reviews and throughout inspection & knowledge sharing• At least 12 years experience with Informatica in a Developer/Tech Lead role• Knowledge of Health Care Insurance Payer Data Warehousing Preferred• Ability to develop a technical work plan and assign work and coordinate across multiple developers and projects. Required Skills/Experience• 12 to 16 Years of Informatica ETL development experience• At least 4 years experience as Informatica ETL Architect• At least 8-10 years experience with Informatica in a Developer/Tech Lead role• Mastery in data warehousing concepts. Candidate should be able to clearly communicate fundamental concepts during the interview and demonstrate previous experience in all aspects.• MUST HAVE strong SQL skills in Oracle Partitioned Environment• Experience in Business Intelligence reporting tools like Cognos and Business Objects preferred• Experience in Oracle database programming using Partitioning, Materialized View and OLAP• Experience in tuning Oracle queries/processes and performance management tools TOOLS & TECHNOLOGIES Informatica 8.x and above (9.1 Preferred) PowerCenter PowerExchange Data Quality Oracle 10g and above Unix Shell Scripting (AIX, Linux) Scheduling Tools (any one of Tivoli, Autosys and Ctrl-M) SQL Additional Information Regards, Vishal Rana Talent & Client Acquisition Specialist Phone: 510 254 3300 Ext 178 |

Our Purpose At Vibe, we are driven by our mission to elevate community and create opportunity . We believe in fostering an environment of inclusivity where every team member has the chance to grow professionally. Guided by our core values - be i nclusive, educate, embrace change, and seek opportunities - we are dedicated to making a positive impact in the lives of our members and communities. As we continue to grow and expand our team, we are seeking passionate individuals who share our vision and are eager to join us in our journey. If you are someone who is passionate about making a difference and is committed to creating a brighter future for our communities, we invite you to explore this exciting opportunity at Vibe! Position Purpose The Data Engineer will be responsible for designing, developing, and managing data pipelines, ensuring data quality, and optimizing performance on the Snowflake, Power BI and SQL platforms. This role will work closely with the Business Intelligence team, data analysts and our IT departments to enable our data sources to be accessible and actionable. Essential Duties Design & Development: Develop and maintain robust, scalable data pipelines for extracting, transforming, and loading (ETL) data into Snowflake from various sources (e.g., databases, APIs, third-party systems). Implement and optimize Snowflake schemas (e.g., star and snowflake schemas) and data models for analytics and reporting. Write complex SQL queries to help enable business analysts in partner departments for data extraction and transformation. Develop complex Data Models within Power BI and produce self service data visualization dashboards. Data Integration: Collaborate with cross-functional teams to gather data requirements and design integrations between Snowflake and other data sources (e.g., on-premise databases, cloud platforms, data lakes). Work with our vendors to develop efficient ways to exchange data. Implement data ingestion frameworks using tools like Snowpipe for real-time or batch processing. Optimization & Performance: Optimize Snowflake queries, databases, and storage to improve performance and reduce costs (e.g., clustering, pruning, and partitioning). Monitor and troubleshoot data pipelines and optimize processes for reliability, efficiency, and scalability. Develop and execute a cost-conscious data lake ingestion strategy by evaluating, prioritizing, and onboarding high-value data sources to ensure scalable, efficient, and business-aligned data architecture. Data Governance & Quality: Implement and maintain data quality checks and validation mechanisms. Ensure compliance with data privacy and security standards, especially when working with sensitive or regulated data. Maintain documentation on data processes, pipelines, and data models for internal use. Collaboration: Work with data analysts, IT development teams and partner departments to ensure that data solutions align with business requirements. Assist in providing access to data and creating views in Snowflake for reporting and analytics purposes. Education/Experience Strong experience in data engineering or related roles with a focus on Snowflake. Hands-on experience with Snowflake's architecture, performance tuning, and advanced features (e.g., Snowflake Streams, Tasks, Snowpipe). Strong partnership and collaboration experience to develop solutions for several internal departments and external vendors. Proficiency in SQL, Snowflake SQL, DB2 and Python. Experience with ETL/ELT tools such as Talend, Apache NiFi, or custom solutions. Experience with cloud platforms (AWS, Azure, or Google Cloud) and data integration services. Skills/Abilities Expertise in Snowflake data warehousing concepts such as data loading, performance tuning, partitioning, and storage optimization. Proficient in programming languages like DB2, SnowSQL, SQL Server, Python or Java for data pipeline development. Knowledge of data visualization and reporting tools (e.g., Power BI) is a plus. Strong problem-solving and troubleshooting skills. Excellent communication skills for collaborating with stakeholders and team members. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Physical Requirements These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the position. Reasonable accommodations can be made to enable people with disabilities to perform the described essential functions of the position. While performing the responsibilities of the job, the employee is required to hear, see, talk, stand, walk, stoop, kneel, lift, push, pull, and grasp. I have received a copy of this job description: _______________________________ Employee's Name (please print) ________________________________________ ______________________________________________ Manager's Signature Job Posted by ApplicantPro

Mars United℠ Commerce is a global commerce marketing practice that aligns people, technology, and intelligence to make the business of our clients better today than it was yesterday. Our worldwide capabilities coalesce into four key disciplines - Strategy & Analytics, Content & Experiences, Digital Commerce, and Retail Consultancy - that individually deliver unmatched results for clients and collectively give them an unparalleled network of seamlessly integrated functions across the entire commerce marketing ecosystem. These disciplines are powered by our industry-leading technology platform, Marilyn, which helps marketers understand the total business impact of their commerce marketing activation, enabling them to make better decisions, create connected experiences, and drive stronger, measurable results. Learn more at **************************** Overview Part of the overall Analytics Group, the Data Science team is responsible for all data modeling, algorithm development, and creating machine learning and AI models. They develop techniques such as regression, classification, clustering, natural language processing (NLP), and more. Additionally, they focus on marketing analytics, using advanced data science techniques to analyze marketing performance, optimize campaigns, and provide actionable insights to enhance marketing effectiveness. ● Core Responsibilities: Data Modeling, Feature Engineering, Sentiment Analysis, Propensity Modeling, CM3, Model Training & Testing, Forecasting, Multi-touch/Data-driven Attribution, etc. ● Primary Tools: Databricks, Azure Synapse, Alteryx, Python, SQL Responsibilities As a Data Scientist, you will leverage your strong technical skills and experience to develop data science and AI solutions. This role requires a deep understanding of data science and machine learning techniques and the ability to collaborate with various teams to ensure data quality and actionable insights. Specifically, the Data Scientist will: ● Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects. ● Work closely with cross-functional teams, including analysts, product managers, and domain experts, to understand business requirements, formulate problem statements, and deliver relevant data science solutions. ● Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources. ● Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems. ● Own and manage complex ETL pipelines to clean, preprocess, and transform large datasets. ● Identify and engineer relevant features to enhance model performance and accuracy. ● Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models. ● Communicate findings and recommendations through comprehensive reports and engaging presentations. ● Support wider agency initiatives. ● Show up - be accountable, take responsibility, and get back up when you are down. ● Make stuff. ● Share so others can see what's happening. Qualifications A Bachelors'/Master's degree in Mathematics, Statistics, Data Analytics, Computer Science, or a directly related field. ● 1+ years of industry experience in a data science/data analysis/statistical analyst role. ● Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using Python/R libraries and SQL. ● Familiarity with relational, SQL, and NoSQL databases. ● Databricks experience is a big plus point. ● Knowledge of statistical analysis tools such as R is a plus. ● Knowledge of scripting in SQL and Python using OOP concepts. ● Experience with PowerBI or Tableau. ● Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. ● Experience in DevOps or MLOps is a plus. ● Experience with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch) is a plus. ● Strong communication skills to effectively convey complex findings to non-technical stakeholders. ● Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams. ● Critical thinking to analyze data and derive meaningful insights. ● Experience in the marketing domain is preferred. ● Ensure the accuracy and reliability of data through rigorous QA processes. ● Validate model outputs to ensure they meet business requirements. ● Conduct unit tests and validation checks on data and models. ● Perform A/B testing to evaluate model performance and impact. ● Document all data analysis and modeling processes. ● Maintain comprehensive records of data sources, methodologies, and results. ● Ensure compliance with data governance and security policies. Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. Compensation Range: $54,910 to $72,300 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/15/2026. All your information will be kept confidential according to EEO guidelines.

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Teoresi Inc is an international Group, with offices in Europe and United States, that acts as an engineering partner to customers' product and process development. We are always looking for new talents and highly specialized professionals, more specifically for: Model-Based Software Engineer Requirements: Bachelor's Degree in Computer/Electronic/ Engineering or higher; Strong programming skills in embedded systems programming languages (e.g., C, C++, Matlab, Simulink). Understanding of automotive ASPICE and functional safety concepts, ISO 26262, V model for software development, agile methodology, and version control software such as GIT. Send your application if you are interested in learning more about potential opportunities and projects. Job Type: Full-time Location: Troy, MI Benefits offered by Teoresi, Inc. Teoresi, Inc. provides the following company insurance policies: Health, Vision, Dental, Life, Long Term Disability (LTD) and Short Term Disability (STD). Other benefits offered include 401(K) plan, Flexible Spending Account (FSA), Vacation, Sick paid leave and Holidays. We are happy to receive your application! 😀 We also inform you that, by sending your application, all your data will be processed in accordance with our privacy policy, which you can view at the following link ********************************************************

Akkodis is seeking a Battery SW and HW Validation for our Contract Position (12+ Months) role with our client in Auburn Hills, MI. Pay Range: $30/hr. to $36/hr. on w2. The pay may be negotiable based on experience, education, geographic location, and other factors. Role: Battery SW and HW Validation Location: Auburn Hills, MI Job Type: Contract (12+ Months) Battery SW and HW Validation 3+ years of propulsion system calibration experience especially within electrified propulsion systems. Experience with HIL (Hardware-in-the-Loop) and dyno testing platforms. Knowledge of statistics and statistical methods. Knowledge of the dyno environment and tools related to it, such as: Puma, Cameo, Indicom, Concerto. Experience with Matlab scripting and other useful data processing Required Skills/Abilities: Bachelor of Science in Engineering, Mathematics or Statistics from an accredited university. Excellent English communication skills Minimum 1 year of experience in powertrain calibration with a strong interest in electrified vehicle systems. Understanding of vehicle systems, controls, and software development processes. Experience with calibration tool suites (ETAS/INCA, MATLAB, Simulink, Canalyzer). If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at **************************** or ************ Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Our services are vast and we produce software and web products. We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift programming languages to create native applications for iPhone, whereas we use Android Code to develop native applications for Android devices. To create applications that work on cross-platforms, we use a number of frameworks such as Titanium, PhoneGap and JQuery mobile. Furthermore, we build web products and offer services such as web designing, layouts, responsive designing, graphic designing, web application development using frameworks based on model view controller architecture and content management system. Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from this, we also provide IT Staffing services that can help your organization to a great extent as you can hire highly skilled personnel's through us. We make sure that we deliver performance driven products that are optimally developed as per your organization's needs. Take a shot at us for your IT requirements and experience a radical change. Job Description Position: ETL Architect Location: Southfield, MI Duration: Contract to hire Need candidates on W2 only 15-17 yrs. Experience · This person will lead teams and work with management and executives · Must have excellent communication · This person is not hands on but must be able to speak to and understand how things work (Healthcare) · Must have 3-4 yrs. as an architect and be able to show their career progression · Cognos and Business Objects are nice to have The Informatica ETL Architect has the overall responsibility for assessing requirements and defining the strategy, technical architecture, implementation plan and delivery of data warehouse projects. The Informatica ETL Architect must have prior experience completing successful data warehousing implementations as well as broad background and experience with IT application development. This individual is responsible for establishing the long term strategy and technical architecture as well as the short term scope for a multi-phased data warehouse effort and should have strong professional consulting skills and the ability to communicate well at all levels of the organization. Top Skill Set:• Lead ETL architecture and design as well as data flow diagramming• Define and implement ETL development standards & procedures• Ensure ETL quality through code reviews and throughout inspection & knowledge sharing• At least 12 years experience with Informatica in a Developer/Tech Lead role• Knowledge of Health Care Insurance Payer Data Warehousing Preferred• Ability to develop a technical work plan and assign work and coordinate across multiple developers and projects. Required Skills/Experience• 12 to 16 Years of Informatica ETL development experience• At least 4 years experience as Informatica ETL Architect• At least 8-10 years experience with Informatica in a Developer/Tech Lead role• Mastery in data warehousing concepts. Candidate should be able to clearly communicate fundamental concepts during the interview and demonstrate previous experience in all aspects.• MUST HAVE strong SQL skills in Oracle Partitioned Environment• Experience in Business Intelligence reporting tools like Cognos and Business Objects preferred• Experience in Oracle database programming using Partitioning, Materialized View and OLAP• Experience in tuning Oracle queries/processes and performance management tools TOOLS & TECHNOLOGIES Informatica 8.x and above (9.1 Preferred) PowerCenter PowerExchange Data Quality Oracle 10g and above Unix Shell Scripting (AIX, Linux) Scheduling Tools (any one of Tivoli, Autosys and Ctrl-M) SQL Additional Information Regards, Vishal Rana Talent & Client Acquisition Specialist Phone: 510 254 3300 Ext 178 |

In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise's known goals, reveal hidden opportunities, and achieve data superiority. The GDIA complexity Analytics team develops data products, analytic software and provides insights to a broad range of skill teams and delivers value to Ford using critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques. As a Data Scientist, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Complexity to align with their needs and processes to ensure relevancy of products. You'll have... Master's degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science 2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization 1+ year of experience delivering analytics solutions 1+ year experience with Agile team methodology Even better, you may have... PhD degree is preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field Proven experience with developing data products/solutions to support analytic applications in Ford's data ecosystem Experience with Product Driven Operating Model or Agile Product Development Process Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users Comfortable working in an environment where problems are not always well-defined Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner Well-organized, independent, and ready to work with minimal supervision Inquisitive, proactive, and interested in learning new tools and techniques Demonstrated hands on experience with deploying data products and/or analytic models in Ford's on-prem and/or Google Cloud Platform Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* This position is a range of salary grades 6-8. Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-Hybrid What you'll do... Accelerate the application of value-added analytics and machine learning into the portfolio of products for Complexity Analytics. Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. Act as a consultant to the business vs. an order taker. Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.

Team members in the Data Scientist role at UWM are responsible for modeling complex problems, discovering insights and identifying opportunities using statistics, algorithms, machine learning, and visualization techniques. Data Scientists work closely with executives, product owners, SME's, and other business teams to leverage data and help answer critical business decisions. Data Scientists at UWM need to be creative thinkers and propose innovative ways to look at problems by examining and discovering new patterns within our datasets and collaborating with our business stakeholders. They will need to validate their results using an experimental and iterative approach. Perhaps most importantly, they will need to be able to communicate their insights and results to the business in a clear, concise, and approachable way. They need to be storytellers of their work. These professionals will need a combination of business focus, data programming knowledge, and strong analytical and problem solving skills, to be able to quickly develop and test hypothesis, and provide conclusions in a clear, structured manner. This role includes the full data science lifecycle from analytic problem definition, through data wrangling, analysis, model development, reporting/visualization development, testing, deployment, and feedback. WHAT YOU WILL BE DOING * Work with stakeholders throughout the organization to identify opportunities for leveraging company data to increase efficiency or improve the bottom line. * Analyze UWM data sets to identify areas of optimization and improvement of business strategies. * Assess the effectiveness and accuracy of new data sources and data gathering techniques. * Develop custom data models, algorithms, simulations, and predictive modeling to support insights and opportunities for improvement. * Develop A/B testing framework and test model quality. * Coordinate with different business areas to implement models and monitor outcomes. * Develop processes and tools to monitor and analyze model performance and data accuracy WHAT WE NEED FROM YOU Must Have * Bachelor's degree in Finance, Statistics, Economics, Data Science, Computer Science, Engineering or Mathematics, or related field * 5+ years of experience in statistical analysis, and/or machine learning * 5+ years of experience with one or more of the following tools: machine learning (Python, MATLAB), data wrangling skills/tools (Hadoop, Teradata, SAS, or other), statistical analysis (Python, R, SAS) and/or visualization skills/tools (PowerBI, Tableau, Qlikview) * 3+ years of experience collaborating with teams (either internal or external) to develop analytics solutions * Strong problem solving skills * Strong communication skills (interpersonal, written, and presentation) Nice to Have * Master's degree in Finance, Statistics, Economics, Data Science, Computer Science, Mathematics or related field * 3+ years of experience with R, SQL, Tableau, MATLAB, Python * 3+ years of professional experience in machine learning, data mining, statistical analysis, modeling, optimization * Experience in Accounting, Finance, and Economics THE PLACE & THE PERKS Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans? It's all happening on UWM's campus, where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement. It's no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It's at the very heart of how we treat each other, our clients and our community. Whether it's providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life. From the team member that holds a door open to the one that helps guide your career, you'll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you'll be welcomed here. Accepted here. And empowered to Be You Here. More reasons you'll love working here include: * Paid Time Off (PTO) after just 30 days * Additional parental and maternity leave benefits after 12 months * Adoption reimbursement program * Paid volunteer hours * Paid training and career development * Medical, dental, vision and life insurance * 401k with employer match * Mortgage discount and area business discounts * Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court * Wellness area, including an in-house primary-care physician's office, full-time massage therapist and hair salon * Gourmet cafeteria featuring homemade breakfast and lunch * Convenience store featuring healthy grab-and-go snacks * In-house Starbucks and Dunkin * Indoor/outdoor café with Wi-Fi DISCLAIMER All the above duties and responsibilities are essential job functions subject to reasonable accommodation and change. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. Team members may be required to perform other or different job-related duties as requested by their team lead, subject to reasonable accommodation. This document does not create an employment contract, implied or otherwise. Employment with UWM is "at-will." UWM is an Equal Opportunity Employer. By selecting "Apply for this job online" you provide consent to UWM to record phone call conversations between you and UWM to be used for quality control purposes.

Our Purpose At Vibe, we are driven by our mission to elevate community and create opportunity . We believe in fostering an environment of inclusivity where every team member has the chance to grow professionally. Guided by our core values - be i nclusive, educate, embrace change, and seek opportunities - we are dedicated to making a positive impact in the lives of our members and communities. As we continue to grow and expand our team, we are seeking passionate individuals who share our vision and are eager to join us in our journey. If you are someone who is passionate about making a difference and is committed to creating a brighter future for our communities, we invite you to explore this exciting opportunity at Vibe! Position Purpose The Data Engineer will be responsible for designing, developing, and managing data pipelines, ensuring data quality, and optimizing performance on the Snowflake, Power BI and SQL platforms. This role will work closely with the Business Intelligence team, data analysts and our IT departments to enable our data sources to be accessible and actionable. Essential Duties Design & Development: Develop and maintain robust, scalable data pipelines for extracting, transforming, and loading (ETL) data into Snowflake from various sources (e.g., databases, APIs, third-party systems). Implement and optimize Snowflake schemas (e.g., star and snowflake schemas) and data models for analytics and reporting. Write complex SQL queries to help enable business analysts in partner departments for data extraction and transformation. Develop complex Data Models within Power BI and produce self service data visualization dashboards. Data Integration: Collaborate with cross-functional teams to gather data requirements and design integrations between Snowflake and other data sources (e.g., on-premise databases, cloud platforms, data lakes). Work with our vendors to develop efficient ways to exchange data. Implement data ingestion frameworks using tools like Snowpipe for real-time or batch processing. Optimization & Performance: Optimize Snowflake queries, databases, and storage to improve performance and reduce costs (e.g., clustering, pruning, and partitioning). Monitor and troubleshoot data pipelines and optimize processes for reliability, efficiency, and scalability. Develop and execute a cost-conscious data lake ingestion strategy by evaluating, prioritizing, and onboarding high-value data sources to ensure scalable, efficient, and business-aligned data architecture. Data Governance & Quality: Implement and maintain data quality checks and validation mechanisms. Ensure compliance with data privacy and security standards, especially when working with sensitive or regulated data. Maintain documentation on data processes, pipelines, and data models for internal use. Collaboration: Work with data analysts, IT development teams and partner departments to ensure that data solutions align with business requirements. Assist in providing access to data and creating views in Snowflake for reporting and analytics purposes. Education/Experience Strong experience in data engineering or related roles with a focus on Snowflake. Hands-on experience with Snowflake's architecture, performance tuning, and advanced features (e.g., Snowflake Streams, Tasks, Snowpipe). Strong partnership and collaboration experience to develop solutions for several internal departments and external vendors. Proficiency in SQL, Snowflake SQL, DB2 and Python. Experience with ETL/ELT tools such as Talend, Apache NiFi, or custom solutions. Experience with cloud platforms (AWS, Azure, or Google Cloud) and data integration services. Skills/Abilities Expertise in Snowflake data warehousing concepts such as data loading, performance tuning, partitioning, and storage optimization. Proficient in programming languages like DB2, SnowSQL, SQL Server, Python or Java for data pipeline development. Knowledge of data visualization and reporting tools (e.g., Power BI) is a plus. Strong problem-solving and troubleshooting skills. Excellent communication skills for collaborating with stakeholders and team members. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Physical Requirements These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the position. Reasonable accommodations can be made to enable people with disabilities to perform the described essential functions of the position. While performing the responsibilities of the job, the employee is required to hear, see, talk, stand, walk, stoop, kneel, lift, push, pull, and grasp. I have received a copy of this job description: _______________________________ Employee's Name (please print) ________________________________________ ______________________________________________ Manager's Signature

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Job Description Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans? It's all happening on UWM's campus, where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement. It's no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It's at the very heart of how we treat each other, our clients and our community. Whether it's providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life. From the team member that holds a door open to the one that helps guide your career, you'll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you'll be welcomed here. Accepted here. And empowered to Be You Here. More reasons you'll love working here include: Paid Time Off (PTO) after just 30 days Additional parental and maternity leave benefits after 12 months Adoption reimbursement program Paid volunteer hours Paid training and career development Medical, dental, vision and life insurance 401k with employer match Mortgage discount and area business discounts Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court Wellness area, including an in-house primary-care physician's office, full-time massage therapist and hair salon Gourmet cafeteria featuring homemade breakfast and lunch Convenience store featuring healthy grab-and-go snacks In-house Starbucks and Dunkin Indoor/outdoor café with Wi-Fi Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to increase efficiency or improve the bottom line. Analyze UWM data sets to identify areas of optimization and improvement of business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models, algorithms, simulations, and predictive modeling to support insights and opportunities for improvement. Develop A/B testing framework and test model quality. Coordinate with different business areas to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy Qualifications Must Have Bachelor's degree in Finance, Statistics, Economics, Data Science, Computer Science, Engineering or Mathematics, or related field 5+ years of experience in statistical analysis, and/or machine learning 5+ years of experience with one or more of the following tools: machine learning (Python, MATLAB), data wrangling skills/tools (Hadoop, Teradata, SAS, or other), statistical analysis (Python, R, SAS) and/or visualization skills/tools (PowerBI, Tableau, Qlikview) 3+ years of experience collaborating with teams (either internal or external) to develop analytics solutions Strong problem solving skills Strong communication skills (interpersonal, written, and presentation) Nice to Have Master's degree in Finance, Statistics, Economics, Data Science, Computer Science, Mathematics or related field 3+ years of experience with R, SQL, Tableau, MATLAB, Python 3+ years of professional experience in machine learning, data mining, statistical analysis, modeling, optimization Experience in Accounting, Finance, and Economics