Job Description
Details :
Stefanini Group is hiring!
Stefanini is looking for a Data Scientist, Dearborn, MI (Onsite)
Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. We are seeking a Data Scientist, specifically within the Charging & Energy Services Analytics Product Line. This team develops innovative, cloud-native data, AI, and analytics solutions. We provide data, AI / ML, and advanced analytics solutions to internal partners and co-develop external applications to help improve our EV customer's public charging experience and provide strategic and engineering support to customers. As a Data Scientist, you'll be a key player in driving this success.
Responsibilities
- Acquire deep understanding of the business problems and translate them into appropriate business solutions
- Design, develop, and implement end-to-end AI / ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google CloudPlatform (GCP).
- Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, anomaly detection, optimization, LLM, and more.
- Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development.
- Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
- Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.
Job Requirements Details :
Experience Required
3+ years of experience in AI / ML, with proven experience developing and deploying machine learning models in a production environment.2+ years of experience in Google cloud platform with solutions designed and implemented at production scale2+ Experience working with Airflow for scheduling and orchestration of data pipelinesExpertise in SQL for data querying, manipulation, and database interaction.Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.Excellent oral, written, and interpersonal communication skills.Experience Preferred
Experience working with Terraform to provision Infrastructure as CodeExperience in electrification and / or transportation domain.Experience in forecasting algorithms, anomaly detection algorithms, optimization modelsExperience in Generative AI, including a strong understanding of ML frameworks, algorithms, and practical implementation.Experience in specialized areas such as Natural Language Processing (NLP), deep learning (e.g., TensorFlow, PyTorch), or recommendation systems.A record of publications or presentations in recognized journals or conferences.Inquisitive, proactive, and interested in learning new tools and techniquesComfortable working in a fast-paced and innovative environment where problems are not always well-definedEducation Required
Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.Education Preferred
Ph.D. in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentivesAbout 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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