Details: Job Description Stefanini Group is hiring! Stefanini is looking for a Data Scientist, Dearborn, MI For quick apply, please reach out Parul Singh at 248-582-6481/parul.singh@stefanini.com We are looking for a highly skilled Data Scientist, supporting all stages of RAV analysis from problem formulation, model /analytical framework development, evaluation, model deployment to help and achieve RAV objectives. The Analytics team applies advanced quantitative methods and systematic econometrics and AI/ML /LLM models to derive insights and solve a wide variety of challenging problems in various area : RAV forecast, RAV count/spend monitoring/trend study, RAV root cause study, RAV reduction analytical support/evaluation, quality action effectiveness on RAV, VOR/uptime, early quality detection…through analyzing vast amounts of data including RAV, quality, repair orders, repeat visits, parts order and supply, service, warranty claims, recall…etc. The deep-dive and advanced analytics/quantification analysis supported by this role will be instrumental in supporting business objectives and transformation through data-driven decision-making. Responsibilities • Support regional CSM (Customer Satisfaction Model) model framework design/development, model maintenance, model enhancement and model daily monitoring using Looker Studio. • Support RAV annual count forecast taking into consideration of various factors such as brand, fuel type, launch type, new car sales, and macro environment… in addition to various types of RAV origination. • Support RAV Root Cause analysis by studying repair order and warranty claim history to derive and identify potential drivers/trend for RAV • Conduct various deep-dive analysis on RAV vehicles to help identify/detect early indication of RAV and uncover/provide insights to business to prevent/reduce RAV • Conduct quick turn-around studies to answer frequent/various/urgent business requests by mining, managing, and exploring a variety of data sources and extracting/deriving insights from structured and unstructured data sets that are often very large and high-dimensional • Explore/apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operation research/optimization, AI/ML/LLM techniques to a variety of real-world business problems within FCSD focusing on improving RAV and service quality • Ensure overall quality of the data and solutions throughout the analytics development process • Maintain and enhance existing quantitative models supporting FCSD daily decisions • Integrate validation result and visualize analysis/prediction result through visualization tools to provide qualitative/quantitative overview • Interact/collaborate effectively cross-functionally with a variety of architects, project managers, DE, SE, and other data scientists to test data and model pipeline, validate pipeline output to ensure successful model launch into production environment to maximize business value delivery • Independently and clearly communicating and presenting/interpreting models and analytical results Job Requirements Details: Experience Required • Python, GCP, SQL, Data Analysis • 3+ years of hands-on experience on a broad range of analytical techniques including forecasting, regression, and AI/ML/LLM methodologies • Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. • 3+ years of proficient experience in training, evaluating, and fine-tuning a variety of machine learning models, ensuring optimal performance and reliability • 3+ years of experience and proficient in programming languages such as Python for data manipulation, analysis, and model development • 3+ years of experience in processing large, high-dimensional structured and unstructured data, including thorough data preprocessing, data cleaning, and feature engineering to prepare datasets for model training and evaluation • 3+ experience GCP (Google Cloud Platform): Vertex AI, Big Query, GCS (Google Cloud Storage), Google Cloud SQL, Looker studio • 3+ year of post-graduate work experience in auto industry involving complex quantitative analytics and modeling • 5+ years of work experience with Python and SQL • 5+ years of work experience in big data manipulation, statistical analysis, modeling, optimization, AI/ML/LLM. Education Required • Master's degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field or a combination of education and equivalent work experience Education Preferred • Ph.D. in quantitative fields such as Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field • 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.