Data scientist jobs in Michigan

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Senior Data Scientist Michigan Permanent $150,000 - $185,000 + Bonus Our client is a global Financial Services business looking for a Senior Data Scientist to join the team permanently. Wouldn't it be great to work on data projects that have a big impact? This is an exciting opportunity to lead the development of statistical models and conduct analyses that directly support the organisation's sales and growth initiatives. Do you want to join a business with so much untapped potential and impact? Would you like to work for an organisation investing in innovation? Do you have a passion for winning and success? Responsibilities: Build, maintain, and automate predictive and analytical models. Recommend marketing distribution strategies by leveraging data and model insights. Perform advanced exploratory data analysis. Use key metrics to evaluate and optimise model performance. Ensure adherence to data privacy and compliance standards, including GDPR and CCPA. Analyse model effectiveness and campaign performance Forecast campaign outcomes using predictive models and validate forecasts Collaborate with data architects and engineers Design, develop, and maintain robust data pipelines A full job spec will be provided upon request. Skills/ Experience: Python or R SQL Machine Learning and Generative Artificial Intelligence. Cloud (AWS, Azure, and Google Cloud). Big data technologies (Spark, Hadoop) Data visualisation tools (Power BI, Tableau, etc) Full job spec provided upon request. If interested or for further information, please apply asap. Keywords - Data Scientist, Data Science, Machine Learning Engineer, AI Engineer

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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Under general supervision, applies knowledge of statistics, machine learning, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity. Analysis focuses on product warranty related data sets that may be applied to various areas of the business (e.g, Manufacturing, Design, Marketing/Advertising, etc.). ESSENTIAL DUTIES AND RESPONSIBILITIES: Develops and maintains statistical models capable of extracting valuable business and/or technical insights from large data sets. Proactively participates in developing scalable Business Intelligence (BI) and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining. Assists with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions. Performs data manipulation and analytics and translate insights into actionable recommendations to management and customers.. Prepares presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders. Facilitates training and education of associates related to new systems and procedures. Creates standards for process improvement projects using Data Analytics and Statistical Analysis Theory. Applies statistical expertise to advance current and future regional initiatives. Maintains current knowledge of industry trends in the field of Big Data Analytics by attending related seminars, conferences and training sessions. Performs other duties as assigned. QUALIFICATIONS: Bachelor's Degree in math, statistics, computer science, software engineering or a related field Experience with Node.js, SQL, Python, API's, MySQL/MongoDB, large language models, and business intelligence tools. 0+ years of related experience SKILLS AND ABILITIES: Experience with databases and large data sets and related reporting tools Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations Basic knowledge of automotive parts and related vehicle systems (e.g, charging/starting electrical, emission, HVAC systems, vehicle electronic components). Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management. Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional team Continuous improvement mindset Ability to apply process improvement planning and checking to own work output and to assist others with identifying gaps in work results Benefits Summary: Health, Dental, Vision, Prescription Drug plans Life and Accidental Death & Dismemberment Insurance Flexible Spending Account Employee Assistance Program 401K with 4% company match Bonus Program Wellness Program Onsite Fitness Center (vary by location) Tuition Reimbursement Career Development and Ongoing Training Paid holidays and vacation Cafeteria and food markets (vary by location) Volunteer opportunities Employee recognition (employee and milestone events) Annual Salary: $78,000 - $98,000

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

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

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.

Why join us? Our purpose is to design for the good of humankind. It's the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone. About the Role We're looking for an experienced and adaptable Data Scientist to join our growing AI & Data Science team. You'll be part of a small, highly technical group focused on delivering impactful machine learning, forecasting, and generative AI solutions. In this role, you'll work closely with stakeholders to translate business challenges into well-defined analytical problems, design and validate models, and communicate results in clear, actionable terms. You'll collaborate extensively with our ML Engineer to transition solutions from experimentation to production, ensuring models are both effective and robust in real-world environments. You'll be expected to quickly prototype and iterate on solutions, adapt to new tools and approaches, and share knowledge with the broader organization. This is a hands-on role with real impact and room to innovate. Key Responsibilities Partner with business stakeholders to identify, scope, and prioritize data science opportunities. Translate complex business problems into structured analytical tasks and hypotheses. Design, develop, and evaluate machine learning, forecasting, and statistical models, considering fairness, interpretability, and business impact. Perform exploratory data analysis, feature engineering, and data preprocessing. Rapidly prototype solutions to assess feasibility before scaling. Interpret model outputs and clearly communicate findings, implications, and recommendations to both technical and non-technical audiences. Collaborate closely with the ML Engineer to transition models from experimentation into scalable, production-ready systems. Develop reproducible code, clear documentation, and reusable analytical workflows to support org-wide AI adoption. Stay up to date with advances in data science, AI/ML, and generative AI, bringing innovative approaches to the team. Required Technical Skills Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field, with 3+ years of applied experience in data science. Strong foundation in statistics, probability, linear algebra, and optimization. Proficiency with Python and common data science libraries (Pandas, NumPy, Scikit-learn, XGBoost, PyTorch or TensorFlow). Experience with time series forecasting, regression, classification, clustering, or recommendation systems. Familiarity with GenAI concepts and tools (LLM APIs, embeddings, prompt engineering, evaluation methods). Strong SQL skills and experience working with large datasets and cloud-based data warehouses (Snowflake, BigQuery, etc.). Solid understanding of experimental design and model evaluation metrics beyond accuracy. Experience with data visualization and storytelling tools (Plotly, Tableau, Power BI, or Streamlit). Exposure to MLOps/LLMOps concepts and working in close collaboration with engineering teams. Soft Skills & Qualities Excellent communication skills with the ability to translate analysis into actionable business recommendations. Strong problem-solving abilities and business acumen. High adaptability to evolving tools, frameworks, and industry practices. Curiosity and continuous learning mindset. Stakeholder empathy and ability to build trust while introducing AI solutions. Strong collaboration skills and comfort working in ambiguous, fast-paced environments. Commitment to clear documentation and knowledge sharing. Who We Hire? Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We're committed to equal opportunity employment, including veterans and people with disabilities. This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_********************.

Why join us? Our purpose is to design for the good of humankind. It's the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone. About the Role We're looking for an experienced and adaptable Data Scientist to join our growing AI & Data Science team. You'll be part of a small, highly technical group focused on delivering impactful machine learning, forecasting, and generative AI solutions. In this role, you'll work closely with stakeholders to translate business challenges into well-defined analytical problems, design and validate models, and communicate results in clear, actionable terms. You'll collaborate extensively with our ML Engineer to transition solutions from experimentation to production, ensuring models are both effective and robust in real-world environments. You'll be expected to quickly prototype and iterate on solutions, adapt to new tools and approaches, and share knowledge with the broader organization. This is a hands-on role with real impact and room to innovate. Key Responsibilities * Partner with business stakeholders to identify, scope, and prioritize data science opportunities. * Translate complex business problems into structured analytical tasks and hypotheses. * Design, develop, and evaluate machine learning, forecasting, and statistical models, considering fairness, interpretability, and business impact. * Perform exploratory data analysis, feature engineering, and data preprocessing. * Rapidly prototype solutions to assess feasibility before scaling. * Interpret model outputs and clearly communicate findings, implications, and recommendations to both technical and non-technical audiences. * Collaborate closely with the ML Engineer to transition models from experimentation into scalable, production-ready systems. * Develop reproducible code, clear documentation, and reusable analytical workflows to support org-wide AI adoption. * Stay up to date with advances in data science, AI/ML, and generative AI, bringing innovative approaches to the team. Required Technical Skills * Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field, with 3+ years of applied experience in data science. * Strong foundation in statistics, probability, linear algebra, and optimization. * Proficiency with Python and common data science libraries (Pandas, NumPy, Scikit-learn, XGBoost, PyTorch or TensorFlow). * Experience with time series forecasting, regression, classification, clustering, or recommendation systems. * Familiarity with GenAI concepts and tools (LLM APIs, embeddings, prompt engineering, evaluation methods). * Strong SQL skills and experience working with large datasets and cloud-based data warehouses (Snowflake, BigQuery, etc.). * Solid understanding of experimental design and model evaluation metrics beyond accuracy. * Experience with data visualization and storytelling tools (Plotly, Tableau, Power BI, or Streamlit). * Exposure to MLOps/LLMOps concepts and working in close collaboration with engineering teams. Soft Skills & Qualities * Excellent communication skills with the ability to translate analysis into actionable business recommendations. * Strong problem-solving abilities and business acumen. * High adaptability to evolving tools, frameworks, and industry practices. * Curiosity and continuous learning mindset. * Stakeholder empathy and ability to build trust while introducing AI solutions. * Strong collaboration skills and comfort working in ambiguous, fast-paced environments. * Commitment to clear documentation and knowledge sharing. Who We Hire? Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We're committed to equal opportunity employment, including veterans and people with disabilities. This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_********************.

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.

Join BAMF Health, where you're not just part of a team; you're at the forefront of a revolution in Theranostics, changing lives for the better. As a member of our global team, you'll contribute to pioneering technology and deliver top-tier patient care. Located in the heart of downtown Grand Rapids, our cutting-edge global headquarters resides within the state-of-the-art Doug Meijer Medical Innovation Building. Step into our modern and spacious facilities, where innovation thrives and collaboration knows no bounds. Join us in our mission to make Theranostics accessible and affordable for all, and be part of something truly remarkable at BAMF Health. The Biomedical Data Scientist leads the transformation of complex clinical and Imaging data into actionable AI models in the oncology space. The role combines clinical informatics, data engineering, and machine learning for real-world precision medicine. Responsible for translating multimodal data-including PACS imaging, EMRs, physician notes, and optionally molecular assays-into unified structured datasets and for building prognostic and progression-free survival (PFS) models from these datasets to advance cancer treatment personalization. Data Integration & Engineering: Build and maintain robust pipelines that ingest and harmonize multimodal data (DICOM imaging, EMR, pathology, molecular/omics data, and free-text clinical notes). Work across HL7, FHIR, DICOM, and unstructured text formats to enable a comprehensive longitudinal patient view. Apply NLP or LLM tools to extract structured information from freeform physician notes, pathology reports, and radiology impressions. Collaborate with solution architects and engineers to ensure AI-readiness and scalability of the data infrastructure. AI Modeling & Analytics: Develop and validate AI/ML models for: Progression-Free Survival (PFS) estimation Overall survival prediction Prognostic classification and risk stratification Use classical survival analysis (e.g., Kaplan-Meier, Cox models) as well as modern ML approaches (e.g., DeepSurv, time-to-event modeling, random survival forests). Perform feature engineering across clinical, imaging, and molecular features. Lead the data science component of retrospective and prospective studies in collaboration with clinicians and statisticians. Collaboration & Strategy: Partner with oncologists, nuclear medicine physicians, and radiologists to define clinically meaningful endpoints and labels. Contribute to publications, presentations, and regulatory submissions where needed. Ensure all processes adhere to data privacy regulations (e.g., HIPAA, GDPR, 21 CFR Part 11). Basic Qualifications: Advanced degree (MS/PhD) in Biomedical Informatics, Biostatistics, Computer Science, Bioengineering, or related discipline required. 5 years of experience in biomedical data science, clinical informatics, or a related field required Proven experience with: Clinical data (EMR, PACS, structured/unstructured EHR), NLP/LLM tools, and AI/ML models for prognostic or survival prediction required Proficiency in Python (pandas, scikit-learn, PyTorch), SQL, and data pipeline frameworks required Preferred Qualifications: Experience with time-to-event models (DeepSurv, CoxNet, survival forests) preferred Familiarity with radiology and nuclear medicine workflows preferred Exposure to omics datasets and molecular biomarkers preferred Prior experience in oncology, radiology, or theranostics domains preferred Schedule Details: Employment Status: Full time (1.0 FTE) Weekly Scheduled Hours: 40 Hours of work: 8:00 a.m. to 5:00 p.m. Days worked: On-site role with potential hybrid flexibility Monday-Friday At BAMF Health, our top priority is patient care. To ensure we are able to drive a Bold Advance Medical Future, we offer a well-rounded benefit package to care for our team members and their families. Highlights include: Employer paid High Deductible Health Plan with employer HSA contribution Flexible Vacation Time 401(k) Retirement Plan with generous employer match Several benefit options including, but not limited to; dental, vision, disability, life, supplemental coverages, legal and identity protection Free Grand Rapids downtown parking Disclaimer BAMF Health provides equal opportunities to all employees for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. BAMF Health will reasonably accommodate qualified individuals with a disability so that they can perform the essential functions of a job unless doing so causes a direct threat to these individuals or others in the workplace and the threat cannot be eliminated by reasonable accommodation or if the accommodation creates an undue hardship to BAMF Health. BAMF Health is an Equal Opportunity Employer and will not accept or tolerate discrimination or harassment against any applicant, employee, intern, or volunteer based upon the following characteristics: race, color, religion, creed, national origin, ancestry, sex, age, qualified mental or physical disability or handicap, sexual orientation, gender identity/expression, transgender status, genetic information, pregnancy or pregnancy-related status, marital status, veteran status, military service, any application for any military service, or any other category or class protected by applicable federal, state, or local laws.

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.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

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.

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

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are seeking a highly capable and analytical individual to join our Business and Sales Planning Analytics (BSPA) Used Vehicle Valuations team. The primary responsibility of this role is to perform in-depth analysis and modeling of used vehicle residual values, auction prices, and market drivers for the U.S. and Canadian used vehicle markets. The analyst will play a crucial role in supporting key business processes through accurate forecasting, quantifying value gaps, and providing actionable insights to management and business customers. Minimum Qualifications: Master's degree in Statistics, Econometrics, Data Science, or related field 1+ years of experience conducting statistical analysis in a business or academic setting 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.) Ability to effectively communicate, both verbal and written, across different levels of the organizations Experience with Excel and PowerPoint Preferred Qualifications: 3+ years of Auto industry related work (used vehicle market experience a plus) Proficiency in Python for data analysis and model development Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining Have excellent time management skills and be able to handle working on multiple projects at the same time Be able to make reasonable judgments and conclusions with limited information and resources Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts Be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality Be aspirational and curious in technical excellence and innovation Have a lifetime learning attitude You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This position is a salary grade 7-8. This position is a range of salary grades 7-8. * Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be onsite 4 days per week * *Visa Sponsorship is not provided for this role * Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-Hybrid #LI-GH2 Develop and maintain models to quantify the relationship between auction prices and key used vehicle residual value drivers Provide used vehicle residual value forecasting to support key business processes Quantify and decompose used vehicle residual value gaps between brands and vehicles Provide data analysis visualization and prepare presentation materials to share with management and business customers Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices Execute both descriptive and inferential ad hoc requests for management and business customers in a timely manner Analyze and interpret model results to identify key trends and insights

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************