Stefanini Group is hiring!
Stefanini is looking for a Data Scientist, Dearborn, MI (Onsite)
For quick apply, please reach out Lokesh Sharma at /
We are looking for someone who is 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.
ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-makingDesign and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-makingApply 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 trendsDesign, develop, and deploy high-performance machine learning models (supervised, unsupervised, and reinforcement learning) to address business needs such as churn prediction, recommendation engines, or demand forecasting.Lead the design and analysis of large-scale experiments (A/B testing, multivariate testing) to validate hypotheses and measure the impact of product changes.Architect and implement robust data pipelines and feature engineering processes to improve model accuracy and scalability.Evaluate and refine existing algorithms to improve computational efficiency and predictive power.Act as a strategic advisor to leadership, translating complex algorithmic outcomes into business-centric narratives that drive ROI.Mentor junior data scientists and contribute to the team's internal library of best practices, code standards, and research methodologies.Partner with ML Engineers and DevOps to integrate models into production systems, ensuring reliability and monitoring model drift.
Skills RequiredALGORITHMS, Python, Google Cloud Platform
Experience Required5+ years experience in relevant field5+ years of experience in a Data Science role, with a proven track record of delivering models that impact business outcomes.Expert proficiency in Python (specifically libraries like Pandas, NumPy, Scikit-learn, SciPy) or R.Deep understanding of a broad range of ML techniques, including Gradient Boosting (XGBoost/LightGBM), Random Forests, GLMs, and Clustering.Ability to manipulate and extract data from complex, multi-terabyte distributed databases. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and advanced statistical inference.Experience with version control (Git) and writing clean, modular, and maintainable code.
Education RequiredMaster's Degree
**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.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10106616
- Position Id: 62938
- Posted 6 hours ago