Data Scientist

This is a fully remote position, open to applicants in India.

📋 Description

• Act as a representative for data requirements and communicate relationships among various data assets.

• Explore, analyze, and define data requirements for data integration, retrieval, and reusable data sets.

• Assess business needs for data modeling while maintaining data structures and their related components.

• Provide guidance on data structures and associated components.

• Oversee the iteration, review, and upkeep of data requirements and models.

• Support the creation of a semantic layer for data and reusable data assets.

• Choose appropriate data-modeling techniques and develop adaptable data models.

• Align logical source models into a cohesive model that adheres to data-architecture standards.

• Convert logical data models into physical data-store schemas.

• Develop analytics for quality prediction, audit scores, CAPA, food safety, calibration, supplier quality, and quality risks.

• Create NLP and GenAI solutions for quality investigations, audit preparations, and document insights.

• Design IIoT analytics, predictive maintenance models, process control solutions, optimization models, and simulation models.

• Design, construct, validate, deploy, and enhance ML, statistical, NLP, computer vision, optimization, simulation, and GenAI solutions using Databricks and Azure/AWS.

• Integrate data from SAP, MES, QMS/eQMS, food safety, audits, and IIoT into Databricks-based data products.

• Develop dashboards, alerts, scorecards, and self-service analytics using Tableau, Power BI, Databricks SQL, or Python tools.

• Operationalize models through MLOps, monitoring, retraining, governance, security, and auditability.

• Collaborate with stakeholders from quality, food safety, manufacturing, supply chain, engineering, procurement, HSE, and digital services.

• Measure business impact through KPIs related to quality, food safety, manufacturing, and supply chain.

⛳️ Requirements

• Extensive experience in data modeling within a large, complex organization featuring multiple systems.

• Capability to simplify intricate problems and effectively communicate them to a diverse audience.

• 5–8+ years of experience in quality analytics, food safety analytics, manufacturing analytics, supply chain analytics, industrial AI, or data science within an operational/FMCG context.

• Practical, production-level experience with Databricks.

• Strong expertise in cloud platforms, particularly Azure and/or AWS.

• Proficient in Python, including libraries such as pandas, NumPy, scikit-learn, time-series libraries, and TensorFlow or PyTorch.

• Solid skills in SQL and PySpark.

• Experience in building scalable data pipelines and governed data products in Databricks.

• Strong foundation in machine learning, statistics, time-series analysis, anomaly detection, classification, regression, forecasting, and model validation.

• Experience in designing end-to-end cloud data science and data engineering architectures.

• Familiarity with dashboard creation using Tableau, Power BI, Grafana, Databricks SQL, or Python-related tools.

• Experience with QMS/eQMS, IMS, MES, SAP ERP, CMMS, historians, IIoT platforms, or audit management systems.

• Excellent stakeholder management, communication, and data storytelling abilities.

• Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Chemical/Mechanical/Electrical Engineering, Food Science, Statistics, Operations Research, or a related field.

• Relevant certifications in Databricks, Azure, AWS, IL6S/Lean Six Sigma, HACCP, PCQI, FSSC 22000, ISO 22000, or BRCGS as mentioned in the posting.

🏝️ Benefits

• Support for relocation within the country is available.

• Limited assistance for candidates voluntarily relocating internationally under the Volunteer International Transfer Policy.