Verified Job On Employer Career Site Job Summary: Apex Systems is a world-class IT services company that serves thousands of clients across the globe. They are seeking a highly skilled Data Scientist to join Ford Motor Company's FCSA RAV analytics team, focusing on advanced quantitative methods and AI/ML models to derive insights and support business objectives. The role involves supporting various stages of data analysis, model development, and collaboration across teams to enhance decision-making processes. 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 architect, project manager, 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 Qualifications: Required: • Master’s degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field or a combination of education and equivalent work experience • 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 Preferred: • Ph.D. in a quantitative field such as Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field • 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… • Curious, high level of initiative, detail-oriented and ability to multi-task • Fast learning in theoretical modeling and coding • Strong problem formulation and problem solving skills Company: Apex Systems, a division of On Assignment, provides organizations with IT staffing solutions to address gaps in their current workforce. Founded in 1995, the company is headquartered in Richmond, Virginia, USA, with a team of 1001-5000 employees. The company is currently Late Stage. Apex Systems has a track record of offering H1B sponsorships.