Data Scientist

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Exciting opportunity awaits. Click Apply now or call Ranjit Kumar at  or email  for faster processing.

• Groom AI/ML use cases: collaborate with manufacturing and business teams to identify opportunities where AI and machine learning can solve problems, improve efficiency, and create value. Help define project scopes and success metrics.
• Execute end-to-end ML projects: take ownership of machine learning initiatives from start to finish, including data collection, preparation, model development, deployment, and ongoing monitoring in production environments.
• Programming & data engineering: write clean, efficient code (primarily in Python) to build data pipelines, develop machine learning models, and automate analytical workflows; work with SQL for data extraction and manipulation.
• Data analysis & modeling: dive deep into manufacturing data from sources like MES, ERP, and IoT sensors to uncover patterns, engineer features, and build robust predictive or prescriptive models (e.g., for quality, maintenance, or process optimization).
• Communicate insights: translate complex technical findings into clear, understandable recommendations for non‑technical stakeholders, helping them make data‑driven decisions.

• Experience:
  
  3+ years in AI, machine learning, or data science, with a strong preference for experience in a manufacturing or industrial setting.
• Technical prowess:
  • Proficiency in Python and its key ML libraries (e.g., scikit‑learn, Tensor Flow, PyTorch).
  • Strong SQL skills for data querying and manipulation.
  • Familiarity with data visualization tools (e.g., Power BI, Tableau).
  • Basic understanding of MLOps concepts for model deployment and management.
• Domain knowledge (nice to have): understanding of manufacturing processes, data sources (like MES, ERP), and common challenges (e.g., quality control, predictive maintenance, order backlog).
• Problem‑solving skills: a curious mind and the ability to break down complex problems into manageable, data‑driven solutions.
• Collaboration & communication: excellent communication skills to work effectively with diverse teams, from plant operators to senior leadership.

• Experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of time‑series analysis, anomaly detection, or optimization techniques.

Listed salary ranges may vary based on experience, qualifications, and local market. Some positions may include bonuses or other incentives.

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 such as the Americas, Europe, Africa and Asia, serving more than 400 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.