Senior Data Science and Machine Learning Associate//Dearborn, MI//W2 Only

Data Science and Machine Learning Senior AssociateDearborn, MI 4days onsiteW2Position DescriptionEmployees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustnessSkills RequiredData Model, Machine Learning, Data ScienceSkills PreferredGCP, Data Analysis, Python, Artificial Intelligence & Expert SystemsExperience RequiredSenior Associate Exp: 5+ years experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis o Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization.Education RequiredMaster's Degree, Bachelor's DegreeEducation PreferredAdditional Safety Training/Licensing/Personal Protection Requirements:Additional Information4 days on site