Data Science Internship Jobs in Commerce, MI

As a Data Analyst, you'll be responsible for advising business area leaders on decision making and measuring the impact of investments through leveraging various sources for data analysis. You'll apply statistics, enterprise reporting tools and technical expertise to support tactical and operational reporting for a business area. About the Role * Identify and analyze business problems, source relevant data, perform analysis and deliver findings via ad hoc presentations and automated reporting/dashboards * Communicate findings to business partners for decision-making purposes * Provide relevant and timely analysis to help senior leaders make data-driven decisions * Analyze data with standard statistical methods, interpret results and provide written and oral summaries of data analyses * Leverage SQL to write custom stored procedures, views and ad hoc queries to source data for business problems * Utilize PowerBI, SSRS and other enterprise reporting tools to develop automated reports About You Minimum Qualifications * 4 years of experience in a data analyst, business intelligence engineer, SQL developer or similar role * Experience using SQL or other querying languages to create data sets, stored procedures, views, functions and performance tuning slow running queries * Experience creating enterprise reporting and dashboards leveraging enterprise reporting tools (Tableau, SSRS, PowerBI, etc.) * Statistical knowledge and demonstrated ability to execute end-to-end data analysis projects * Proficiency in the Microsoft Office suite Preferred Qualifications * Experience in the title or real estate industry * Experience utilizing PowerBI to build reporting solutions * Experience performing prescriptive analytics * Experience using industry standard analysis tools to perform statistical analysis (R, Python, etc.) * Bachelor's degree in mathematics, applied statistics or a related field What You'll Get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks. About Us Rocket Close is a leading national provider of title insurance, property valuations and settlement services. Here, you'll be given all the resources and support needed to deliver innovative solutions and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the Company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The Company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team at **************************.

Are you a student and are you interested in the world of data visualisation and information design? Do you want to learn more about the industry and get some hands-on experience? Apply for our internship programme! Who you are Are you a student of a Master's degree course not yet graduated? Whether you are a digital or editorial designer, a motion grapher or a developer, if you share our passion for data visualisation and information design, you are in the right place. Skills requested Background in data visualisation or information design or a strong interest in either Good knowledge of the main design softwares (adobe creative suite, figma, sketch, ....) or front-end programming languages (javascript, ....) Willingness to learn the dynamics of working in a company with international clients Willingness to experiment and get involved Nice to have Data and analytics skills Good level of both spoken and written english What we offer A happy place to work Internship program contract from 3 to 6 months Dedicated tutor Starting month: february / march Place of work: Milano Send us your CV and portfolio! You will be contacted by our team.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders. Essential Responsibilities Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets Apply mathematical and statistical techniques for spatial and temporal data Develop and implement advanced predictive models Build data visualization, dashboards, and reports for internal and external customers Write and optimize efficient, maintainable code, collaborating with cross-functional teams Skills and Abilities Strong analytical skills with the ability to manipulate and analyze large datasets Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders Strong problem-solving skills with a focus on validation and accuracy of results Proficiency in programming languages such as Python and frameworks like PySpark Ability to work independently and as part of a team Ability to mentor team members and contribute to culture of continuous learning and improvement Experience in developing and optimizing data pipelines and ensuring data quality Qualifications and Experience Required B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field 7+ years of experience in data science 2+ Experience with programming languages such as Python and frameworks such as Pyspark Experience working with large and complex datasets Experience working with databases, such as Postgres, MySQL, SQL Server Track record of writing optimized, scalable code Desirable Background in robotics or related field and understanding of temporal and spatial data concepts Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Salary Range$167,000—$190,000 USD Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

Job Description Tired of Seeing People Spend Hours on Repetitive Tasks? Help Us Transform Recruiting with Tech & AI! Recruiting professionals often spend endless hours sourcing, researching, and manually reaching out to candidates. What if they could leverage cutting-edge technology and automation to change all of that? At Qualigence International (Livonia, MI), we're searching for a hands-on tech enthusiast to help our recruiters focus on what matters most - delivering quality results and building strong candidate relationships. Your role? Implement powerful tools, automate manual processes, and bring innovation to our recruiting approach. Does this sound familiar? You're constantly looking for new, smarter ways to solve business problems. You see opportunities everywhere to use technology like ChatGPT, Clay.com, or sales automation tools to simplify complex tasks. You're frustrated by inefficiencies and repetitive work that could easily be automated or streamlined. You want your daily efforts to make a noticeable, meaningful impact. If this sounds like you, keep reading! Heres why youll love this role: Youre a Difference Maker: Build automations and implement AI-driven solutions that significantly reduce recruiters' manual tasks, freeing them to focus on strategic work. Empowered by Support: Our internal research team already supports our recruiters, and now you'll enhance their efficiency even further. Career Growth & Visibility: Work directly with senior leadership (VP of Service Delivery & COO), gaining unparalleled exposure and clear career pathways as we grow. Continuous Learning: Be at the forefront of technology, continuously experimenting with new platforms and tools to ensure Qualigence remains an industry leader. Flexible Hybrid Schedule: Enjoy a balanced lifestyle with 3 days/week in our Livonia office and 2 days remote. Who were looking for: Tech-savvy individuals with hands-on experience in automation, AI, data analytics, or related roles. Someone skilled in integrating platforms and creating automation workflows. A proactive innovator who stays ahead of technology trends and constantly seeks improvement. An individual passionate about solving real-world business challenges through smart technology use. Join us if you're ready to: Streamline recruitment with intelligent, automated solutions. Make a tangible impact each day in a highly visible, respected role. Grow professionally in an innovative organization that values your technical expertise. If you're excited about reshaping how recruiting teams work, we'd love to meet you.

We are seeking a talented and motivated Data Scientist to provide technical expertise and support for Predictive Maintenance (PdM) Technologies for Combat Vehicles. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will work closely with cross-functional teams to uncover insights from data and help drive data-driven decision-making. Key Responsibilities Develop and implement machine learning-based models and algorithms to predict vehicle components failure and maintenance needs, collecting and analyzing data from various vehicle sensors and systems. Perform statistical analysis and hypothesis testing. Collaborate with stakeholders to understand business needs and translate them into data requirements. Create data visualizations and dashboards to communicate findings to non-technical audiences. Collaborate with stakeholders to ensure effective implementation of predictive maintenance models. Continuously monitor and improve the performance of existing models. Continuously improve predictive maintenance processes and technologies through research and innovation and stay up-to-date with the latest industry trends and technologies and best practices. Technical skills Solid knowledge and proven experience with Statistical Analysis, Data Mining, Pattern Recognition, Machine Learning, Deep Learning, Classification, and Clustering, Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn. Solid knowledge and proven experience with complex SQL scripting, queries, and database normalization methods for data extraction and manipulation. Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. Knowledge of machine learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with big data technologies such as Hadoop, Spark, or Hive. Knowledge of Reliability Testing, Risk Analysis: Failure Modes and Effects Analysis (FMEA) Good programming skills in Python, MATLAB, and C/C++. Knowledge of communication protocols (e.g., CAN, Ethernet). Soft skills Strong problem-solving and analytical skills. Strong verbal written communication, and presentation skills Ability to work well in a team environment and collaborate with various stakeholders. Problem solving and analytical skills to identify issues, troubleshooting problems and find solutions. Time management - ability to prioritize tasks and manage time efficiently. Education Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Minimum of 5 years of experience as a Data Scientist or in a similar role.

Data Analyst Job ID: 25-09044 Data Analyst Duration: 12 months with possible extension Responsibilities: * Develop, interpret, and distribute daily, weekly, monthly, and quarterly KPI performance reports for each department within client Dealer Chat. * Update performance dashboard. * Leverage the XM Client tool to underscore and supplement findings. * Participate in quarterly analytics meetings to share/compare news, challenges, tips, best practices, guiding principles, case studies * Trend historical data to help shape measurable objectives and targets for annual planning purposes * Maintain a reporting pipeline calendar * Maintain and report digital headcount * Leverage PowerBI to create visual representations of data and insights * Assist in developing KPIs definitions and goal adjustments. * Assist forecasting team with scheduling and scheduling audits. * Creating and educating / coaching on research and analytics. * Foster a metrics-based approach to glean insights and drive the business forward * Assist both client Dealer Chat Team Leads, support staff, and Coordinator team with projects. Candidate Requirements: * Bachelor's Degree required. * 2 Years minimum of work experience. * 2 years with Microsoft Access/Excel Visual Basic for Applications (VBA) Top 3 must-have hard skills: * VBA exp. * Strong written and oral. * Presentation. * Job details *

The Rock Family of Companies is made up of nearly 100 separate businesses spanning fintech, sports, entertainment, real estate, startups and more. We're united by our culture - a drive to find a better way that fuels our commitment to our clients, our community and our team members. We believe in and build inclusive workplaces, where every voice is heard and diverse perspectives are welcomed. Working for a company in the Family is about more than just a job - it's about having the opportunity to become the best version of yourself. As a Data Scientist, you'll leverage your expertise in data analysis, machine learning, statistical modeling, and generative AI to develop and implement frameworks as part of the company's responsible AI function. You'll collaborate closely with model developers and other partners to ensure our AI-driven solutions comply with regulatory requirements and best practices in responsible AI. About the role Design and implement metrics and testing methodologies to evaluate AI systems for responsible AI considerations Research and implement state-of-the-art techniques in responsible AI Perform disparate impact analysis on existing and new machine learning models Audit existing and new machine learning models for model performance, impact and reliability Develop tools for model developers to standardize model development lifecycle Write new functions or applications to conduct analyses Create and maintain documentation for model governance and regulatory compliance Collaborate with business stakeholders to translate governance requirements into technical specifications Contribute to the development of company-wide responsible AI guidelines and best practices Mentor team members on responsible AI practices and methodologies Apply sampling techniques to create representative datasets for model evaluation Compare models using statistical performance metrics, such as loss functions or proportion of explained variance Create graphs, charts or other visualizations to convey the results of data analysis Deliver oral or written presentations of the results of model evaluation and data analysis to stakeholders Communicate analyses, conclusions and solutions clearly to all audiences Develop and evangelize best practices for model development, evaluation and maintenance Drive the collection of new data and the refinement of existing data sources related to Responsible AI practices Mentor and train associate data scientists About you 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP 3 years of experience with statistical and data mining tools and methods 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs) 3 years of experience working with SQL 3 years of experience working in a UNIX environment 3 years of experience in at least one scripting language (e.g., BASH) 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.) 3 years of experience with statistical packages 3 years of experience providing predictive and prescriptive analytics in a business setting Experience with model explainability techniques Master's degree in mathematics, statistics, computer science or a related field or equivalent experience Advanced understanding of data visualization libraries Advanced understanding of statistical methodologies for modeling and business analytics What you'll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks. About us Rocket Mortgage was founded in 1985. Today, we're a Detroit-based, publicly traded company with a mission to Help Everyone Home. At Rocket Mortgage, we believe that home is more than the house you live in. Our wide variety of home loan options, tools and resources empower our clients to achieve their homeownership dreams. We're known as experts in the mortgage industry, but we're also innovators - we strive to create the best experiences for our clients from beginning to end. And we're not your typical employer. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, The Pulse, at ************************** . The Company is an Equal Employment Opportunity employer, and does not discriminate in any hiring or employment practices. The Company provides reasonable accommodations to qualified individuals with disabilities in accordance with state and federal law. Applicants requiring reasonable accommodation in completing the application and/or participating in the employment application process should notify a representative of the Human Resources Team, The Pulse, at **************************.

Insight Global is looking for Data Scientists to join the team of one of its leading Life Insurance customers in Metro Detroit. You will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sage maker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance. · Specific Responsibilities: Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models. Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis. Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques. Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed. Forecast campaign results based on models built and validate forecast against actuals. Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms. Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building Proactively identify opportunities for model improvement and need for additional modeling projects. Maintain clear and organized documentation of data, methodologies, and results. Implement automation in existing processes to improve overall efficiency. Perform ad hoc analysis to support Marketing Distribution efforts Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements. Compensation: 115k-187k. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - Recent master's degree in either Statistics, Data Science, etc. - Minimum 5+ years in Business Analytics Extensive experience Agentic AI and ML learning Solid background in statistical analysis & predictive modeling § Expertise in modeling algorithms Strong Python & SQL coding skills AWS monitoring/deployment cloud platform experience Hands-on experience with AWS services like S3, Lambda, and SageMaker. Experience with Data Engineering orchestration tools Expertise in Power BI reporting/visualizations Outstanding people skills Attitude, motivation, communication skills · Apache Airflow experience · Insurance industry experience Marketing/marketing analytics domain experience null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

Proficiency in Python or R for data analysis and modeling. Strong knowledge of SQL and working with relational databases. "Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc). Experience in Forecasting will be added advantage" Solid understanding of statistics, probability, and hypothesis testing. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Experience with big data tools (e.g., Spark, Hadoop). Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with cloud platforms like AWS, GCP, or Azure. Experience in MLOP's and CI/CD work flow Expeirence in developing end to end pipeline in any of cloud platform (AWS,Azure etc.) Base Salary Range: $80,000 - $110,000 per annum #LI-SV2

Why join? Join us in revolutionizing an entire industry's customer engagement. We prioritize human connection through technology. If you're driven by purpose and want to make a meaningful impact on people's lives, this is the place for you. Our team challenges norms with the support of a trusted American brand. * Purpose: A leading professional services firm found that AAA Life associates demonstrate some of the highest levels of commitment, empathy, and dedication when compared to top U.S. companies in a benchmark analysis. * Growth: We have the privilege to offer our products to tens of millions of Americans that make up the AAA member base * Focus is on "working families", "everyday Americans", "ordinary citizens", "mainstream population" "average income households", providing life insurance products that truly impact people's lives (more information will be provided in the interview). * Team (Culture): USA Today named us a 2024 and 2025 top US workplace Who are we looking for? As a Data Scientist - Modeling and Analytics, you will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sagemaker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance. Responsibilities How will you contribute? * Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models. * Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis. * Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement * Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques. * Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed. * Forecast campaign results based on models built and validate forecast against actuals. * Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms. * Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building * Proactively identify opportunities for model improvement and need for additional modeling projects. * Maintain clear and organized documentation of data, methodologies, and results. * Implement automation in existing processes to improve overall efficiency. * Perform ad hoc analysis to support Marketing Distribution efforts * Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements. Qualifications What do you offer? * Master's degree in Statistics, Economics, Mathematics, Data Science, or related field. Experienced in marketing analytics or customer behavior modeling. * 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks) and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools. * Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills. * Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop) * Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling * High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient+ with SQL for data extraction and manipulation. * Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities * Skilled in cross-functional collaboration, agile methodologies, project management and stakeholder communication. * Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference * Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts * Able to effectively communicate and translate complex, technical finding in a candid, clear, concise, and non-technical fashion to all audiences * Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan. * Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns. * Self-starter with the ability to identify priorities and focus on items with high business impact. * Ability to present complex analytical findings with persuasiveness and succinctness What can we offer? * Enjoy a hybrid work environment that promotes work-life balance. * Comprehensive medical, dental, and vision coverage starting from your first day. * Employer 401k match and employer contribution to a pension plan. * Generous PTO and paid parental leave to support your family needs. * Opportunities for associate engagement in various social programs and community involvement initiatives backed by the company.

In support of XM30 Program Executive Office Ground Combat Systems (PEO GCS) at the Detroit Arsenal Amentum is currently seeking a qualified candidate to serve as a Data Scientist who is experienced working with a diverse team. Other duties may be assigned to support client and contract deliverables. Travel may be required but estimated at less than 10%. This position is currently onsite.Essential Responsibilities: Apply data science principles, concepts, and practices to analyze systems, processes, and operational challenges using scientific methods and techniques Perform analytics on complex datasets to identify patterns, trends, and insights that support organizational decision-making Develop automated approaches leveraging artificial intelligence / machine learning (AI/ML) and natural language processing (NLP) to streamline the input of programs, processes, and reports for XM30 Develop data visualization solutions to address operational problems Analyze, interpret, and apply data science methodologies in various situations, recommending solutions to senior analysts Prepare comprehensive reports, documentation, and correspondence that clearly communicate factual and procedural information Conduct minor phases of larger analytical assignments, ensuring quality and alignment with project objectives Analyze problems to identify significant factors, gather pertinent data, and develop practical, evidence-based solutions Collaborate effectively with team members and stakeholders across functional areas Plan and organize work to meet project deadlines and organizational priorities Continually expand knowledge of data science techniques and technologies to enhance analytical capabilities Minimum Requirements: U.S. citizenship Secret Clearance Bachelor's degree and 5+ years experience in Data Science, Computer Science, Statistics, Mathematics, or related field; or a Master degree in Data Science Experience applying scientific methods to analyze systems, processes, and operational problems CADIQ Knowledge of mathematics and statistical analysis Demonstrated ability to prepare clear reports and documentation Experience analyzing and interpreting data to recommend practical solutions Strong problem-solving skills with ability to identify significant factors and gather relevant data Excellent collaboration and communication skills Ability to plan and organize work effectively Position will require occasional travel. Preferred Qualifications: Active Public Trust designation Advanced degree in Data Science, Computer Science, Statistics, or related field Proficiency in programming languages such as Python, R, or SQL Knowledge of Logistics Data Analysis Center (LDAC) Enterprise Product Data Management (Windchill) Experience with data visualization tools (Tableau, Power BI, etc.) Knowledge of machine learning techniques and applications Background in big data technologies and cloud computing platforms General Experience or knowledge with Provisioning, Cataloging, Structure Content Development (RPSTL, etc) Maintenance planning either at a contractor or a user (soldier, etc) General Experience or knowledge with developing logistic support and maintenance actions affecting materiel readiness. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.

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 * Develop and apply machine learning algorithms to optimize key performance indicators * Extract actionable insights from large datasets and engineer features that enhance model accuracy and relevance. * Partner with different stakeholders to translate data-driven models into production-ready solutions * Work alongside machine engineers to operationalize ML models, ensuring performance consistency and effectiveness in production environments. * Stay current with ML research and adapt new methodologies to solve complex business problems. WHAT WE NEED FROM YOU Must Have * Masters degree or PhD in Finance, Statistics, Economics, Data Science, Computer Science, Mathematics or related field * 5+ years in data science or applied machine learning roles, with demonstrated experience in building and deploying models * ML Expertise: Proven experience in applying ML * Product recommendation * Fraud detection * Familiarity with Generative AI * A/B test and experimentation * Strong proficiency in Python and ML libraries (eg. Scikit-Learn, pandas, numpy) * Familiarity with ML frameworks such as Tensorflow, PyTorch, SparkML * Prior experience working with Docker, kubeflow, Kubernetes * Familiarity with SQL * Cloud and Data Tool Familiarity: Experience with GCP, Azure, AWS Nice to Have * Prior work in FinTech desired * Self-motivated and capable of independent project management * Analytical mindset with a focused on creating impactful solutions * Committed to end-to-end ownership of machine learning products 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.

Details: Stefanini Group is hiring! Stefanini is looking for a Data Scientist, Dearborn, MI (Hybrid) For quick apply, please reach out Saurabh Kapoor at ************/**************************** We are looking for a Data Scientist to work on analytics at the intersection of product design, supply chain and material cost. The successful candidate will be a data explorer who embraces data wrangling and discovery, a problem solver who is energized by difficult business problems, a user of statistics who understands advanced modeling frameworks and their limitations, a proven communicator who effectively interfaces between technical and business teams, and a reliable team player. Our team is looking for an analytics practitioner with strong critical thinking skills and experience in applying programming, machine learning and statistics. Responsibilities Work collaboratively to design analytical solutions that harness internal and external data, and leverage visualizations, predictive analytics, and prescriptive methods, to help the right decision makers make the right decisions at the right time. Collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other functions to define problems, identify data, develop data pipelines, develop metrics, create machine learning models, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable, transformational benefits. Details: Experience Required Utilizing Python (pandas, SciPy, Sciktlearn, TensorFlow and Statsmodels) and R Capable of SQL, GCP native query for data mining Comfortable working in an environment where problems are not always well-defined Inquisitive, proactive, and interested in learning new tools and techniques Proven quantitative modeling and statistical analysis skills 2+ years' experience of independent project with Python, R 2+ years' experience with visualization tool development using Angular, React, Dash, PowerBI or Qliksense. Experience using SQL for acquiring and transforming real-world data, data cleaning, data collection or other data wrangling challenges Experience Preferred Utilizing Regression and Machine Learning Model Development for site traffic analysis Utilizing Natural Language Processing, linear and logistic regression, decision trees, gradient boosting, and feature importance models Work with on-prem data sources (Hadoop, SQL Server) and Cloud data sources (GCP) understand the data model, business rules behind the data and build data pipelines (with GCP) for one or more business domains. Experience with Statistical analysis: Apply mathematical and statistical methods to design proper algorithms, develop or refine analytical models that interpret data and generate meaningful insights Work experience in the automotive industry is a big plus, as is experience in a procurement, logistics or program management functions. Education Required Undergraduate's degree in Statistics, Data Science, Computer Science or a related quantitative discipline Education Preferred Master/PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Economics, Mathematics, Data Science, Operations Research **Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives*** Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company. #LI-SK2 #LI-HYBRID

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

ADAS Machine Learning Data Scientist Hyundai America Technical Center, Inc. (HATCI) is a highly respected R&D organization creating and applying innovative technology, developing products of the future, and continuously improving quality. As a company, we are on the cutting edge of technology and recognize the vital importance and impact automobiles have on society. HATCI prides itself in playing a role that extends beyond being a simple vehicle manufacturer to become a 'lifetime partner in automobiles and beyond' and participates in working 'together for a better future' as a fundamental of Hyundai Motor Group. The Autonomous Driving Software (ADS) Development team in Hyundai America Technical Center, Inc. (HATCI) is an engineering and data science team that focuses on improving performance and expanding ADAS/AD features and services of Hyundai/Kia/Genesis vehicles for the North American (NA) market. The team's key roles and responsibilities are: * New Technology Introduction to spearhead new technology conceptualization for future generation ADAS/AD experiences for the NA market through in-house development as well as strategic partnerships with key technology hubs such as universities, startups and research labs * Software Development to expand Hyundai/Kia/Genesis ADAS/AD capabilities in coordination with the R&D Headquarters and other internal/external project partners * Prototyping and Demonstration to develop prototypes and proof of concept demonstrations to various global teams within Hyundai Motor Group (HMG) for new ADAS/AD functions targeted for the NA market * Software Strategy and Planning to identify market trends and customer needs for key ADAS/AD experience themes and selection of new concept ideas * Data Collection and Curation for Production Applications to support development of data-driven machine learning models with NA data. WHAT YOU WILL DO We are looking for a talented and curious Machine Learning Data Scientist with a focus on computer vision and deep learning to help us drive innovation in the ADAS space. You will play a key role in developing and optimizing ML models to interpret real-world driving environments. This role focuses on improving model performance and data processing cycle time through smart data strategies, synthetic-real data integration, and automated data workflows. Key Responsibilities: * Design, train, and evaluate machine learning (ML) models for perception tasks such as object detection, classification, and segmentation using real-world as well as synthetically generated data * Work with large-scale datasets, perform data curation, annotation analysis, and data-driven error diagnosis * Develop or improve automated data annotation pipelines leveraging ML and active learning strategies * Design and evaluate experiments involving synthetic and real-world data mixing, including ablation studies to assess the impact of data and architecture choices * Collaborate with other engineers to deploy models on embedded hardware (e.g., NVIDIA Jetson, TDA4 EVB) * Conduct empirical studies and ablation experiments to improve performance through data selection, augmentation, and annotation strategies, rather than architectural complexity, to support vision AI workflows * Stay up to date with the latest research and trends in computer vision and ML, especially in the autonomous driving domain WHAT YOU WILL BRING TO THE ROLE Basic Qualifications: * B.S. in Computer Science, Electrical Engineering, or a related field with a focus on ML or vision data-centric AI * Experience with deep learning frameworks (PyTorch, TensorFlow, etc.) * Solid understanding of ML fundamentals including model training, validation, and deployment - with an emphasis on data quality and data-centric development * Proficiency in Python and familiarity with C++ * Experience in computer vision with proficiency in libraries such as OpenCV * Experience working with image datasets and conducting experiments (ablation studies, data augmentation strategies) * Strong communication skills and collaborative mindset Preferred Qualifications: * MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, Computer Vision or a related field or commensurate work experience * Experience with data annotation workflows and auto-labeling tools; knowledge of annotation standards for computer vision tasks * Experience analyzing and optimizing ML model performance through data analysis (e.g., mining edge cases or hard negatives, dataset balancing) WHAT HYUNDAI CAN OFFER YOU * Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family * 100% Employer-paid Disability and Life Insurance * Hybrid Work Schedule * Generous Paid Time Off Including Vacation, Sick, and Abundant Holidays * Competitive Salaries * A Global Environment that Fosters Diversity * Retirement Savings and Planning Benefits * Access to Health Savings Accounts and Flexible Spending Accounts * Flexible Work Hours OTHER DETAILS We believe in the unique contributions that individuals can bring to our team, so even if you don't meet every single requirement, we still encourage you to apply! We prioritize talent, potential and passion over experience and expertise. Candidates applying for positions with Hyundai and KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications This role will be primarily focused on analyzing Field Service data to improve workforce planning algorithms and propose new measurement methodologies Research machine learning algorithms and implement by tailoring to business needs and test on large datasets. Design and run experiments, research new algorithms, and find new ways to improve workforce analytics. Generate reports and presentations summarizing key findings and recommendations based on the insights. Use advanced analytics techniques to develop insights into workforce dynamics. Minimum Qualifications Currently enrolled in a Masters program for data sciences/analytics Requires less than 1 year of related experience Course work and experience using querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Strong analytical skills with experience in data visualization tools Base Pay Range: $23.00 - $31.00 per hour based on pursuit of a Bachelors and MastersPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ************************** or at *************** to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ************************** to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

As a Data Scientist, you'll leverage your expertise in data analysis, machine learning, statistical modeling, and generative AI to develop and implement frameworks as part of the company's responsible AI function. You'll collaborate closely with model developers and other partners to ensure our AI-driven solutions comply with regulatory requirements and best practices in responsible AI. About the role * Design and implement metrics and testing methodologies to evaluate AI systems for responsible AI considerations * Research and implement state-of-the-art techniques in responsible AI * Perform disparate impact analysis on existing and new machine learning models * Audit existing and new machine learning models for model performance, impact and reliability * Develop tools for model developers to standardize model development lifecycle * Write new functions or applications to conduct analyses * Create and maintain documentation for model governance and regulatory compliance * Collaborate with business stakeholders to translate governance requirements into technical specifications * Contribute to the development of company-wide responsible AI guidelines and best practices * Mentor team members on responsible AI practices and methodologies * Apply sampling techniques to create representative datasets for model evaluation * Compare models using statistical performance metrics, such as loss functions or proportion of explained variance * Create graphs, charts or other visualizations to convey the results of data analysis * Deliver oral or written presentations of the results of model evaluation and data analysis to stakeholders * Communicate analyses, conclusions and solutions clearly to all audiences * Develop and evangelize best practices for model development, evaluation and maintenance * Drive the collection of new data and the refinement of existing data sources related to Responsible AI practices * Mentor and train associate data scientists About you * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of experience with statistical and data mining tools and methods * 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs) * 3 years of experience working with SQL * 3 years of experience working in a UNIX environment * 3 years of experience in at least one scripting language (e.g., BASH) * 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.) * 3 years of experience with statistical packages * 3 years of experience providing predictive and prescriptive analytics in a business setting * Experience with model explainability techniques * Master's degree in mathematics, statistics, computer science or a related field or equivalent experience * Advanced understanding of data visualization libraries * Advanced understanding of statistical methodologies for modeling and business analytics What you'll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks. About us Rocket Mortgage was founded in 1985. Today, we're a Detroit-based, publicly traded company with a mission to Help Everyone Home. At Rocket Mortgage, we believe that home is more than the house you live in. Our wide variety of home loan options, tools and resources empower our clients to achieve their homeownership dreams. We're known as experts in the mortgage industry, but we're also innovators - we strive to create the best experiences for our clients from beginning to end. And we're not your typical employer. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, The Pulse, at **************************.

Why join? Join us in revolutionizing an entire industry's customer engagement. We prioritize human connection through technology. If you're driven by purpose and want to make a meaningful impact on people's lives, this is the place for you. Our team challenges norms with the support of a trusted American brand. Purpose: A leading professional services firm found that AAA Life associates demonstrate some of the highest levels of commitment, empathy, and dedication when compared to top U.S. companies in a benchmark analysis. Growth: We have the privilege to offer our products to tens of millions of Americans that make up the AAA member base Focus is on “working families”, “everyday Americans”, “ordinary citizens”, “mainstream population” “average income households”, providing life insurance products that truly impact people's lives (more information will be provided in the interview). Team (Culture): USA Today named us a 2024 and 2025 top US workplace Who are we looking for? As a Data Scientist - Modeling and Analytics, you will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sagemaker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance. Responsibilities How will you contribute? Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models. Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis. Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques. Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed. Forecast campaign results based on models built and validate forecast against actuals. Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms. Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building Proactively identify opportunities for model improvement and need for additional modeling projects. Maintain clear and organized documentation of data, methodologies, and results. Implement automation in existing processes to improve overall efficiency. Perform ad hoc analysis to support Marketing Distribution efforts Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements. Qualifications What do you offer? Master's degree in Statistics, Economics, Mathematics, Data Science, or related field. Experienced in marketing analytics or customer behavior modeling. 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks) and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools. Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills. Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop) Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient+ with SQL for data extraction and manipulation. Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities Skilled in cross-functional collaboration, agile methodologies, project management and stakeholder communication. Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts Able to effectively communicate and translate complex, technical finding in a candid, clear, concise, and non-technical fashion to all audiences Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan. Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns. Self-starter with the ability to identify priorities and focus on items with high business impact. Ability to present complex analytical findings with persuasiveness and succinctness What can we offer? Enjoy a hybrid work environment that promotes work-life balance. Comprehensive medical, dental, and vision coverage starting from your first day. Employer 401k match and employer contribution to a pension plan. Generous PTO and paid parental leave to support your family needs. Opportunities for associate engagement in various social programs and community involvement initiatives backed by the company.

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 Develop and apply machine learning algorithms to optimize key performance indicators Extract actionable insights from large datasets and engineer features that enhance model accuracy and relevance. Partner with different stakeholders to translate data-driven models into production-ready solutions Work alongside machine engineers to operationalize ML models, ensuring performance consistency and effectiveness in production environments. Stay current with ML research and adapt new methodologies to solve complex business problems. Qualifications Must Have Masters degree or PhD in Finance, Statistics, Economics, Data Science, Computer Science, Mathematics or related field 5+ years in data science or applied machine learning roles, with demonstrated experience in building and deploying models ML Expertise: Proven experience in applying ML Product recommendation Fraud detection Familiarity with Generative AI A/B test and experimentation Strong proficiency in Python and ML libraries (eg. Scikit-Learn, pandas, numpy) Familiarity with ML frameworks such as Tensorflow, PyTorch, SparkML Prior experience working with Docker, kubeflow, Kubernetes Familiarity with SQL Cloud and Data Tool Familiarity: Experience with GCP, Azure, AWS Nice to Have Prior work in FinTech desired Self-motivated and capable of independent project management Analytical mindset with a focused on creating impactful solutions Committed to end-to-end ownership of machine learning products