Data scientist jobs in Vienna, MI

Our client is looking for a DATA SCIENTIST located in Metro Detroit, MI Our client is an innovative and rapidly growing organization that is expanding its in-house data and analytics team. They are seeking a highly motivated Data Scientist to develop predictive models, uncover insights, and drive data-informed decisions across the business. This individual will work closely with leadership and cross-functional teams to translate complex datasets into actionable intelligence that supports efficiency, innovation, and growth. ESSENTIAL DUTIES & RESPONSIBILITIES The Data Scientist will be responsible for designing, developing, and implementing data-driven solutions using machine learning, statistical modeling, and advanced analytics. This includes working end-to-end across the data science lifecycle from defining problems and preparing data to model development, validation, and deployment. Work with stakeholders to identify opportunities to leverage data for business improvement and operational efficiency. Analyze structured and unstructured datasets to detect patterns, trends, and optimization opportunities. Develop, test, and validate machine learning models and statistical algorithms to support business objectives. Design and execute A/B testing frameworks and evaluate model performance. Create and maintain reports, dashboards, and visualizations to communicate insights to both technical and non-technical audiences. Collaborate with cross-functional teams to integrate models into business applications and monitor ongoing performance. Evaluate new data sources, technologies, and tools to enhance analytics capabilities. EDUCATION & EXPERIENCE Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field required. 5+ years of experience in data analysis, machine learning, or statistical modeling. Proficiency with tools such as Python, R, MATLAB, SQL, Power BI, or Tableau. Experience working with large datasets and data manipulation tools (e.g., Hadoop, SAS, Teradata, or similar). Strong problem-solving, communication, and collaboration skills. Ability to translate analytical results into clear, actionable business insights. PREFERRED QUALIFICATIONS Master s degree in a quantitative field. Hands-on experience with advanced ML techniques, NLP, or model deployment (MLOps). Familiarity with cloud-based analytics platforms and scalable ML systems. If you are a high performer and would like to work for an equally high performing company and you think the above opportunity is appropriate for you, we invite you to apply to this job and email your resume to *******************. We treat all resumes with strict confidentiality. We will always contact you first before submitting your resume to our client(s) for review. If you do not receive correspondence, you are not a fit for this position. At Venteon, our talent acquisition team is proud to provide our clients with the most qualified Accounting & Finance, Engineering & Manufacturing, Information Technology, Human Resources, Administrative & Call Center talent in the industry today. #VTN1

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.

TI Automotive is launching a new AI department to drive enterprise-wide transformation through predictive and generative AI solutions. We are seeking a Senior Data Scientist to lead this technical charge-someone who combines deep machine learning expertise with strong leadership and business acumen, particularly in the automotive supplier space. This is a rare opportunity to shape a newly forming team, mentor top talent, and build scalable AI solutions that improve manufacturing efficiency, supply chain resilience, and customer experience. Your leadership will be instrumental in making AI a strategic advantage for TI Automotive. Key Responsibilities: * Translate complex business challenges into high-impact predictive and generative AI use cases. * Collaborate with stakeholders across engineering, IT, and business functions to align AI efforts with organizational priorities. * Lead a team of machine learning engineers to design, build, and deploy end-to-end AI solutions across various business domains. * Mentor and grow a high-performing technical team, fostering a culture of innovation, accountability, and continuous learning. * Provide technical direction in model architecture selection, training strategy, performance evaluation, and deployment. * Oversee development and optimization of ML pipelines, MLOps workflows, and cloud-native AI platforms (preferably Azure). * Stay ahead of emerging AI trends-especially in GenAI and Agentic AI-and strategically integrate them where valuable.Ensure responsible AI practices by promoting model explain ability, fairness, and governance. Minimum Qualifications: * Bachelor in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. * 10+ years of experience in AI/ML, including at least 3 years in a technical leadership or managerial role. * Proven experience building and deploying AI solutions in the automotive industry, with strong domain knowledge in manufacturing, logistics, or quality systems. * Deep hands-on expertise in predictive modeling, deep learning (CNNs, Transformers), and GenAI technologies (LLMs, RAG, embeddings, vector databases). * Experience leading teams building production-grade ML systems using MLOps practices and cloud infrastructure (Azure preferred). * Excellent communication skills with the ability to explain complex technical topics to both technical and non-technical stakeholders. * Candidates must reside in the Detroit Metropolitan area and able to work onsite 5 days a week. Preferred Qualifications: * Background in deploying predictive solutions in automotive industry or related domains - Manufacturing, Supplychain, Finance etc. * Experience with agent-based AI systems and applied use of LLMs in enterprise environments. * Knowledge MLOps, model lifecycle management, and responsible AI practices. The Ideal Candidate: * You are a hands-on technical leader who thrives on mentoring and empowering engineering talent. * You understand the unique challenges and opportunities in the automotive space and are eager to apply AI to solve them. * You are comfortable with ambiguity and excited to build from the ground up. * You lead with vision, communicate with clarity, and act with purpose. * You are passionate about turning AI potential into real-world business value. Physical Requirements: * Regular and predictable attendance. * Ability to work at a personal computer for extended periods of time. * Ability to tolerate stress. EEO Statement: TI Fluid Systems is committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, pregnancy status, disability, gender identity or Veteran status.

About Us: Zoomprop is revolutionizing the real estate investment landscape as the industry's premier data analytics platform, offering institutional-grade insights comparable to Bloomberg Terminal's role in financial markets. We provide sophisticated investment intelligence and analytics tailored specifically for real estate professionals, from institutional investors to brokerages and investment strategists. Our leadership team brings exceptional expertise and a proven track record of success. Our CEO has demonstrated remarkable business acumen, having successfully raised over $300 million across multiple ventures, with their most recent achievement being a $4 billion merger IPO. Supporting this vision, our President brings valuable early-stage startup experience, having played pivotal roles in two successful acquisitions and an IPO. As a venture-backed startup, we combine this wealth of expertise with cutting-edge technology to transform how investment decisions are made in the real estate sector. Our platform goes beyond basic market analysis, offering sophisticated tools and insights that enable our clients to identify and capitalize on prime investment opportunities with unprecedented precision.Key Responsibilities Develop and improve machine learning models for real estate market analysis and forecasting Design and implement data acquisition and processing pipelines Create and maintain our AI assistant capabilities Ensure data accuracy and quality across our extensive property database Optimize backend architecture for scalability and performance Collaborate with product team to implement new features and capabilities Design and maintain API endpoints for data access and integration Implement robust testing and validation frameworks for ML models Required Qualifications Advanced degree in Computer Science, Data Science, or related field 5+ years experience in machine learning and data science Strong programming skills in Python and experience with ML frameworks Experience with large-scale data processing and ETL pipelines Proficiency in database design and optimization Experience with API design and implementation Strong background in statistics and experimental design Preferred Qualifications Experience with real estate data or market analysis Knowledge of time series forecasting and geospatial analysis Experience with cloud infrastructure (AWS/GCP/Azure) Background in natural language processing for AI assistants Contributions to open-source projects or research publications We're a tight-knit team offering more than just a role - we're offering an opportunity to make a real impact. As we continue to revolutionize real estate investment analytics, we provide a comprehensive benefits package that reflects our commitment to our team's success and well-being. From competitive compensation with equity participation to full health coverage and flexible work arrangements, we ensure our team members are well-supported. Our remote-friendly culture emphasizes professional growth and innovation, giving you the freedom to shape both your career and the future of real estate technology. If you're ready to join a fast-paced environment where your contributions will have immediate and lasting impact, we'd love to connect with you.

The Opportunity Williams International has an exciting opportunity for an experienced Data Analytics Engineer to join our Advanced Development Team. is 100% onsite and no remote or hybrid work is available at this time. The Data Analytics Engineer will be responsible for: Design and implement automated test scripts using Python, leveraging libraries like Pandas, NumPy, and SciPy for data manipulation, analysis, and visualization of engine performance metrics. Utilize version control systems, particularly Bitbucket (or Git), for collaborative code development, branching, merging, and pull requests. Analyze and interpret test data to identify trends, anomalies, and areas requiring further investigation. Identify, document, and track defects using appropriate tools. Collaborate with development teams to troubleshoot and resolve issues. Participate in code and design reviews to provide feedback on testability and potential issues. Improve testing processes and methodologies, advocating for best practices. Communicate test results and findings to stakeholders, including technical and non-technical audiences. Qualifications Bachelor's Degree in Computer Science, Software Engineering, or a related engineering field At least 5 years of work experience in a data-driven professional setting Data analysis experience in Python programming, including experience with data analysis libraries and test automation frameworks Experience with Agile development methodologies and tools such as Jira and Bitbucket. Experience with analytical methodologies and the desire to solve new technical challenges Experience with data analysis tools and techniques, including data manipulation, visualization, and statistical analysis Solid understanding of debugging and root cause analysis. Self-starter who can work well within a team or independently with minimal oversight U.S. Citizenship is required Position requires the ability to obtain a U. S. Government Security Clearance, if needed Candidates selected may be subject to a U. S. Government security investigation and must meet eligibility requirements for access to classified information. For more information on Security Clearances, please visit: Department of State Additional Information Williams International is a Drug Free Workplace where all new team members and contractors are subject to pre-employment drug testing for the following controlled substances: marijuana, cocaine, PCP, amphetamines, opioids, and alcohol as policy dictates. Williams International is committed to equal employment opportunities for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, and protected veteran status. Please view Equal Employment Opportunity Posters provided by OFCCP here. If you are interested in applying for employment with Williams International and need special assistance or an accommodation to use our website or to apply for a position due to a physical and/or mental disability, please send an e-mail with your request to *******************. Or, please call ************. Determination on requests for reasonable accommodation is made on a case-by-case basis.

The accurate reporting of our members' device activity is at the very center of our service delivery. Covenant Eyes' core product leverages Machine Learning to analyze images and flag pornographic or highly sensitive content, which is then reported to an accountability partner. To achieve this, we rely on a skilled team composed of Data Scientists, Developers, and Data Annotators. The Data Annotator Intern at Covenant Eyes plays a crucial role in helping us build cutting-edge AI and machine learning models. The Data Annotator Intern will gain hands-on experience in annotating and labeling various types of data, working closely with our expert data science team. This internship offers a unique opportunity to learn about the development and assessment of AI models, while contributing to exciting projects that have real-world impact. Successful completion of this internship may lead to consideration for full-time employment opportunities, such as a Data Annotator Level I, based on individual performance and business needs. This internship does not guarantee an offer of full-time employment. (Please note - successful completion of a Data Annotator Internship is a requirement to be considered for a full-time Data Annotator I position). Responsibilities Work and communicate about work with the highest ethics and discretion, recognizing that user privacy is of highest priority. Communicate regularly and openly with the Data Science Development Manager and Data Annotation Team Lead about mental/emotional state so that proactive support can be given as needed. Annotate and label large datasets with relevant tags, descriptions, or categories in accordance with project requirements. Review and validate annotated data to ensure accuracy and consistency. Identify and report any inconsistencies or errors in the data. Collaborate with data scientists and other data annotation specialists to understand project requirements. Collaborate with cross-functional teams, including software engineers, data scientists, and quality assurance analysts to improve datasets and models. Participate in quality control processes to ensure high-quality annotations. Work efficiently to meet project deadlines and deliver high-quality annotated data. Communicate with clarity and excellence in both written and verbal communication. Excellent communication in this context requires professional, grammatically correct writing and clear, articulate speech. It also requires proficient typing. Qualifications Understands the dangers of pornography and the ability of transparent relationships to help in the fight against it. Has maintained strict confidentiality and adherence to ethical guidelines in previous roles when handling sensitive, personal, or explicit media, demonstrating a commitment to data privacy and professional conduct. Demonstrated resilience and the ability to maintain emotional detachment when working with challenging or sensitive content, ensuring consistent objectivity and quality of work. Consistently demonstrates professionalism and respect for diverse viewpoints in all interactions and collaborations. Proven track record of being highly organized and detail-oriented, with excellent time management skills to consistently meet deadlines. Successfully applies analytical and critical thinking skills to solve problems and make informed decisions in a professional work setting. Familiarity of data quality and accuracy principles. Excellent collaboration and communication, both written and verbal, skills. Familiarity with Microsoft Outlook and Office suites or similar software programs. The majority of your time will be spent at a desk using a phone, computer and monitor, and general office equipment. You may be required to reach with hands and arms; sit; stand; talk and hear; use your hands to finger, handle, or feel.

A Day in the Life: The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center and Connect Direct. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. What You'll Do: TECHNICAL SENIORSHIP EDI Setups Communication with internal and external business users on Sterling Integrator mappings Making changes to existing partner EDI setups to meet internal and external requirements Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. Facilitate the review, vetting of these designs with the architecture governance bodies, as required. Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION Superior & demonstrated team building & development skills to harness powerful teams Ability to communicate effectively with different levels of Seniorship within the organization Provide timely updates so that progress against each individual incident can be updated as required Write and review high quality technical documentation CONTROL & AUDIT Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT Encourages and maintains a ‘Best practice sharing culture', always striving to find ways to improve service and change mind set. What We're Looking For: Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required 5+ years of IT experience 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) Strong interpersonal and communication skills with Agile/Scrum experience. Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. Prefer Travel, transportation, or hospitality experience Prefer experience with designing application data models for mobile or web applications Excellent written and verbal communication skills. Flexibility in scheduling which may include nights, weekends, and holidays What You'll Get: Up to 40% off the base rate of any standard Hertz Rental Paid Time Off Medical, Dental & Vision plan options Retirement programs, including 401(k) employer matching Paid Parental Leave & Adoption Assistance Employee Assistance Program for employees & family Educational Reimbursement & Discounts Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness Perks & Discounts -Theme Park Tickets, Gym Discounts & more

We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for our Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future As a Senior Data Scientist at Lennar, you will design, build, and deploy advanced models and AI agents that shape how Lennar prices, sells, and personalizes experiences for customers across 40+ divisions. You'll work end-to-end-from research and experimentation to production deployment and monitoring-delivering measurable business impact in pricing, sales, operations, and customer engagement. You'll collaborate across teams, navigate ambiguity, and drive innovation in a rapidly evolving AI ecosystem. Your Responsibilities on the Team Design, build, and deploy pricing recommendation models to optimize sales velocity, revenue, and division-level targets. Develop sales forecasting and demand prediction models to support pricing and inventory decisions. Build personalization algorithms for tailored product recommendations and communications across email, text, and digital platforms. Apply machine vision and feature extraction on home attributes (photos, plans, finishes) to inform premium pricing and personalization strategies. Design, build, and deploy autonomous AI agents using frameworks like Amazon Bedrock and AgentCore to solve business problems in pricing, sales, operations, and customer interactions. Engineer and maintain data pipelines and systems supporting all models and agents, ensuring scalability and reliability. Integrate agents with enterprise systems and protocols (MCP servers, A2A protocol, internal APIs). Design and run experiments (A/B tests, multi-armed bandits, uplift models) to measure and optimize model and agent performance. Ensure observability and reliability of deployed agents, including logging, evaluation, monitoring, and drift detection. Proactively gather feedback from stakeholders and adapt solutions for adoption and measurable impact. Translate complex data science and statistical concepts into clear recommendations, stories, and visualizations for executives and non-technical audiences. Favor incremental, explainable solutions that deliver quick wins and scale over time. Drive experimentation with new tools and approaches, ensuring robustness, governance, and scalability in production deployments. Share learnings with the broader team to raise the bar on data science and agentic development across the organization. Manage timelines and expectations transparently with both the data science team and business stakeholders. Your Toolbox Bachelor's or Master's degree in Statistics, Economics, Math, Computer Science, Data Science, Machine Learning, or related field (or equivalent experience). 5+ years of relevant experience (1+ with PhD, 3+ with MS) as a data scientist, ML engineer, or applied AI developer delivering production-ready models and systems. Strong proficiency in Python and SQL, with experience owning the full data science stack (data pipelines + models + deployment). Experience with pricing optimization, revenue management, economic modeling, and price elasticity/demand modeling. Experience building and deploying large-scale recommender systems (collaborative filtering, embeddings, contextual bandits). Hands-on experience with AI development frameworks (LangChain, Strands, Amazon Bedrock, AgentCore, or equivalent). Experience with experimentation frameworks (A/B testing, uplift modeling, multi-armed bandits, causal ML). Exposure to machine vision techniques (CNNs, transfer learning, embeddings) and NLP techniques (embeddings, transformers, prompt engineering). Familiarity with real-time or near-real-time systems (Kafka, Kinesis, Flink, or similar) for scalable personalization. Understanding of AI agent observability (evaluation frameworks like LangFuse, RAGAS, Weights & Biases, custom monitoring). Experience with system integrations: APIs, A2A protocol, MCP servers, orchestration pipelines. Comfort working with large-scale, imperfect real-world datasets and making progress despite complexity. Strong engineering skills: ability to design and maintain production pipelines, microservices, and scalable systems. Proven ability to navigate ambiguity, rapidly prototype, and move solutions into production. Collaborative communicator who can align technical solutions with business priorities across diverse stakeholders. Bonus: experience with RAG pipelines, LLM fine-tuning, RLHF, multi-agent orchestration, feature stores, survival analysis/churn modeling, and attribution modeling. Bonus: background in real estate analytics, revenue management systems, or retail pricing optimization. Physical & Office/Site Presence Requirements: This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws #LI-KB2 Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data to a cloud provider and then transform data to make it available to Customers to consume. The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. Responsibilities: Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. Participates creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed. Assist with updating the enterprise standards when gaps are identified. Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team). Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow for data to flow from on-premises Oracle databases to Snowflake where the data will be consumable by our end customers. Follows standard change control and configuration management practices. Participates in 24-hour on-call rotation in support of the platform.

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations and then transform data to make it available to Customers to consume. The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. Responsibilities: Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed. Assist with updating the enterprise standards when gaps are identified. Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers. Follows standard change control and configuration management practices. Participates in 24-hour on-call rotation in support of the platform. Required Skills/Qualifications: Database Platforms: Snowflake, Oracle, and SQL Server OS Platforms: RedHat Enterprise Linux and Windows Server Languages and Tools: PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter, Informatica IICS or IDMC. Experience creating and maintaining ETL processes that use Salesforce as a destination. Drive and desire to automate repeatable processes. Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization. Desired Skills/Qualifications: Experience creating and maintaining solutions within Snowflake that involve internal file stages, procedures and functions, tasks, and dynamic tables. Experience creating and working with near-real-time data pipelines between relational sources and destinations. Experience working with StreamSets Data Collector or similar data streaming/pipelining tools (Fivetran, Striim, Airbyte etc...).

Mopar is seeking a technically skilled and innovative Data Engineer / Data Scientist to drive advanced analytics and data solutions. This role is central to designing, building, and optimizing data pipelines, developing predictive models, and delivering actionable insights that empower HQ stakeholders. The ideal candidate will blend strong engineering skills with analytical expertise to support data-driven decision-making and operational excellence across the region. Key Responsibilities: Data Engineering & Pipeline Development: Design, implement, and maintain robust data pipelines (ETL/ELT) to collect, process, and transform large-scale structured and unstructured datasets from diverse automotive sources. Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools. Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs. Collaborate with IT and analytics teams to integrate data from business systems into centralized data products. Advanced Analytics & Data Science: Analyze complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and operational improvements. Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation. Conduct A/B testing, causal inference, and statistical analysis to evaluate business initiatives and drive continuous improvement. Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions. Collaboration & Stakeholder Engagement: Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions. Educate and mentor team members on data best practices, analytics tools, and emerging technologies.

Mopar is seeking a technically skilled and innovative Data Engineer / Data Scientist to drive advanced analytics and data solutions. This role is central to designing, building, and optimizing data pipelines, developing predictive models, and delivering actionable insights that empower HQ stakeholders. The ideal candidate will blend strong engineering skills with analytical expertise to support data-driven decision-making and operational excellence across the region. Key Responsibilities: Data Engineering & Pipeline Development: * Design, implement, and maintain robust data pipelines (ETL/ELT) to collect, process, and transform large-scale structured and unstructured datasets from diverse automotive sources. * Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools. * Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs. * Collaborate with IT and analytics teams to integrate data from business systems into centralized data products. Advanced Analytics & Data Science: * Analyze complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and operational improvements. * Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation. * Conduct A/B testing, causal inference, and statistical analysis to evaluate business initiatives and drive continuous improvement. * Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions. Collaboration & Stakeholder Engagement: * Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions. * Educate and mentor team members on data best practices, analytics tools, and emerging technologies. Basic Qualifications: * Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field * 5+ years of experience in data engineering, analytics, or data science (automotive industry experience preferred) * Proficiency in programming languages such as Python and SQL * Hands-on experience with ETL/ELT tools, data modeling, and cloud platforms (Snowflake, etc.) * Strong analytical thinking, problem-solving skills, and attention to detail * Excellent communication and presentation abilities, with a proven ability to explain complex technical concepts to diverse audiences * Ability to manage multiple priorities and deliver results in a fast-paced environment Preferred Qualifications: * Master's degree * Demonstrated experience designing and deploying business dashboards and data visualizations for large-scale automotive or after-sales operations * Advanced proficiency with business intelligence tools (e.g., Power BI, Tableau, Qlik) and experience integrating visualizations with cloud data platforms (e.g., Snowflake) * Familiarity with Mopar systems and performance metrics * Knowledge of machine learning, deep learning, and advanced analytics techniques * Certifications in cloud data engineering or analytics platforms

Onsite/ Remote Hybrid (3 days on site in Auburn Hills, MI) The Advanced Analytics Data Engineer develops, maintains, tests and evaluates data solutions. Responsibilities include but not limited to: Build what the Advanced Analytics Data Architect has designed. Work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms. Requirements: Requires a Bachelor's degree in Computer Science, Information Technology, or related field. 3+ years of related experience required. SQL expertise and data modeling experience. Strong experience with Unix/Linux. ETL and data movement tools experience including: DataStage, Sqoop, and Pivotal Data Loader. Deep knowledge in data mining, machine learning, natural language processing, or information retrieval. Experience processing large amounts of structured and unstructured data. Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions. Able to work in teams and collaborate with others to clarify requirements. Ability to tune Hadoop solutions to improve performance and end-user experience. Understanding of how algorithms work and have experience building high-performance algorithms. Enjoy being challenged and to have a desire to solve complex problems on a daily basis. Excellent oral and written communication skills. Preferred Requirements: MapReduce experience is a plus. Additional Information / Must Have's: Experience handling / processing large data sets both structured and unstructured Deep knowledge in data mining, information retrieval, and a natural curiosity about the data Expertise in data modeling specifically with less standardized / structured data Three + years of experience Onsite/ Remote Hybrid (3 days on site in Auburn Hills, MI) Does not require driving company vehicle Amount of travel: #IND1 Contract to hire opportunity

DATA ANALYTICS ENGINEER The Qualified Professional Technical Group has been engaged by our client to find an experienced Data Analytics Engineer to join their Advanced Development Team.This position is 100% onsite RESPONSIBILITIES: Design and implement automated test scripts using Python, leveraging libraries like Pandas, NumPy, and SciPy for data manipulation, analysis, and visualization of engine performance metrics. Utilize version control systems, particularly Bitbucket (or Git), for collaborative code development, branching, merging, and pull requests. Analyze and interpret test data to identify trends, anomalies, and areas requiring further investigation. Identify, document, and track defects using appropriate tools. Collaborate with development teams to troubleshoot and resolve issues. Participate in code and design reviews to provide feedback on testability and potential issues. Improve testing processes and methodologies, advocating for best practices. Communicate test results and findings to stakeholders, including technical and non-technical audiences. QUALIFICATIONS: Bachelor's Degree in Computer Science, Software Engineering, or a related engineering field At least 5 years of work experience in a data-driven professional setting Data analysis experience in Python programming, including experience with data analysis libraries and test automation frameworks Experience with Agile development methodologies and tools such as Jira and Bitbucket. Experience with analytical methodologies and the desire to solve new technical challenges Experience with data analysis tools and techniques, including data manipulation, visualization, and statistical analysis Solid understanding of debugging and root cause analysis. Self-starter who can work well within a team or independently with minimal oversight U. S. Citizenship is required Position requires the ability to obtain a U. S. Government Security Clearance, if needed Candidates selected may be subject to a U. S. Government security investigation and must meet eligibility requirements for access to classified information. For more information on Security Clearances, please visit: S. Department of State

The Jonus Group is partnering with a well-established client that is looking to add an Actuarial Analyst to their expanding team. This role will primarily focus on Personal Lines, with additional responsibilities in Commercial Lines as needed. The position offers the opportunity to contribute to ratemaking, loss reserving, and performance monitoring while collaborating across multiple departments including Marketing, Underwriting, IT, and Finance. Key Responsibilities: Draft formal actuarial recommendations for the Chief Actuary and senior leadership. Develop rate indications by line of business and provide support for assumptions used. Prepare supporting exhibits for regulatory rate filings and respond to questions from state insurance departments. Facilitate the rate change process and ensure proper documentation across business lines. Conduct loss reserving using multiple methods, providing recommendations to the Chief Actuary. Analyze competitor data alongside company loss experience to inform ratemaking activities. Respond to special projects, ad hoc analyses, and other departmental requests. Track and evaluate the performance of both personal and commercial lines with a range of performance measures. Qualifications: Completion of at least four CAS exams is required. Familiarity with GLMs and predictive modeling is preferred but not mandatory. Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related field. Proficiency with Microsoft Office tools; knowledge of MS Access, SQL, or Visual Basic is an advantage. 5+ years of P&C actuarial work experience. The role also comes with a competitive benefits package, 401(k), paid time off, professional development opportunities, etc. Disclaimer: Please note that this job description may not cover all duties, responsibilities, or aspects of the role, and it is subject to modification at the employer's discretion. #LI-TM2

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

Human Capital Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey. The Team Insights, Innovation, and Operate Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value Recruiting for this role ends on 12/31/25. Work you'll do As a Consultative Services Life Actuary Manager in Deloitte's Human Capital group, you will bring unique actuarial, analytical, and data sciences perspective in a management consulting environment. Selected job functions include leading medium-sized teams in the following activities: + Proactively follow current market trends across life insurance and annuity products, markets and regulations; anticipate future client needs and prepare accordingly + Redesign and modernize core business functions for life insurance clients, including new business and underwriting operations, product development, financial reporting, modeling, and related functions + Support deployment of modern-day tools, technologies, data sources, & analytics in such modernization initiatives, to achieve objectives such as improved stakeholder experience, reduced costs, and more actionable or insightful results + Participate in teams to identify, design, and deploy proprietary models, algorithms, data sets, or other assets or project accelerators + Provide support in developing internal and external eminence, research, and solution development + Provide subject matter expertise to consulting teams to facilitate the integration of actuarial with data science, technology, underwriting, distribution, finance, and other functions + Actively support the sales process with other senior leaders + Assist the Deloitte Audit Function, a separate business unit at Deloitte, providing professional actuarial assurance over the material accuracy of selected actuarial balances for selected attest clients + Serve as a role model advocate for recruiting, training, people development, and overall strategic planning for the practice. Qualifications Required: + Bachelor's degree + 6+ years of Life Actuary experience + Successfully passed 5 actuarial exams + Limited immigration sponsorship may be available + Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: The ideal candidate will have a meaningful set of knowledge and experience across a subset of the following dimensions for individual life insurance and annuities: + 6+ years of experience in product development, including product design, pricing, filing and implementation, ideally across multiple distribution channels + 6+ years of experience developing experience studies for core life actuarial assumptions, such as lapse, mortality, expenses, etc. + 6+ years of experience in assumption setting for multiple purposes spanning pricing, forecasting, financial reporting and /or embedded value + 6+ years of experience creating actuarial projections models for multiple purposes spanning pricing, financial planning, ALM, and financial reporting + 6+ years of experience in financial reporting across a subset of the relevant accounting methodologies (statutory, US GAAP, IFRS, tax) for a subset of the full range of individual life insurance and annuity products + 4+ years leading medium to large sized teams + 4+ years of working with mergers and acquisitions, including understanding of purchase accounting 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 $137,400 - $253,000. 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. Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Hartford, Hermitage, Houston, Huntsville, Indianapolis, Jacksonville, Jericho, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tallahassee, Tampa, Tempe, Tulsa, Washington DC. Information for applicants with a need for accommodation: ************************************************************************************************************ For more information about Consultative Services and Human Capital, visit our landing page at: ******************************************************************************************** #HCFY26 #IIOFY26 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.

Mopar is seeking a technically skilled and innovative Data Engineer / Data Scientist to drive advanced analytics and data solutions. This role is central to designing, building, and optimizing data pipelines, developing predictive models, and delivering actionable insights that empower HQ stakeholders. The ideal candidate will blend strong engineering skills with analytical expertise to support data-driven decision-making and operational excellence across the region. Key Responsibilities: Data Engineering & Pipeline Development: Design, implement, and maintain robust data pipelines (ETL/ELT) to collect, process, and transform large-scale structured and unstructured datasets from diverse automotive sources. Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools. Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs. Collaborate with IT and analytics teams to integrate data from business systems into centralized data products. Advanced Analytics & Data Science: Analyze complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and operational improvements. Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation. Conduct A/B testing, causal inference, and statistical analysis to evaluate business initiatives and drive continuous improvement. Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions. Collaboration & Stakeholder Engagement: Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions. Educate and mentor team members on data best practices, analytics tools, and emerging technologies.

We are looking for a Senior SAS Programmer to join our Data Insights Team. Will work to support several reporting platforms. Programmer will create Excel and PDF reports using Base SAS as described by business requirements documents and test system components as needed. Participates in requirements and design sessions, then develops and implements new system components or fixes to resolve system defects using business intelligence software and related tools. Reads and understands business requirements, seeks clarification to unclear requirements, follows standard change control and configuration management practices and conforms to departmental application development standards and systems life cycle. Incorporates source code reuse wherever possible. Sets up and executes component tests as well as tracks and documents system defects. Participates in software design and programming reviews. Recommends improvements to design and programming standards, procedures and guidelines. Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above. Participates in 24-hour on-call rotation in support of the platform.