We are looking for candidates who will be 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. Responsibilities • Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making • Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making • 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 • 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 • 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 robustness Job Requirements Skills Required: • Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science Experience Required: • 5+ experience in relevant field • Undertake statistical modeling, predictive analytics, and insight generation for the RAV platform • Perform deep dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV • Execute quick turn studies for urgent business questions by mining, managing, and exploring large, high dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls) • Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights • Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value • Communicate, present, and interpret analytical results to non technical audiences, cross functional teams, and leadership on a regular basis Education Required • Master's Degree Education Preferred • Doctorate **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 will also speak with you about the process, including interviews and job offers. #LI-NP1 #LI-ONSITE Pay Range: $ 61.00 - $ 66.00