Job description
Role Overview
Data Scientist at NMDC Group. The role focuses on identifying business problems suitable for AI solutions, translating ambiguous business needs into clear data science problems, and developing and implementing optimized AI models that drive measurable business impact, improve efficiency, and support strategic objectives.
Company Overview
NMDC Group is committed to supporting career development and personal wellbeing of its employees. The organization offers an environment where employees can thrive and reach their professional potential through training, mentorship, and educational opportunities. NMDC Group provides competitive salaries and a wide range of attractive employee benefits, with a workplace defined by its culture and made by its people. The group specializes in EPC and marine construction projects.
Role Purpose
To identify and solve business problems through AI and machine learning solutions that deliver measurable impact, improve operational efficiency, and align with strategic business objectives across EPC and marine project lifecycles.
Key Responsibilities
Problem Definition & Strategy
- Identify and define business problems suitable for AI and ML solutions.
- Translate vague business questions into clear, solvable data science problems.
- Align AI solutions with strategic business goals and ROI expectations.
Model Development & Design
- Design, prototype, and develop ML models using structured and unstructured data.
- Pull datasets from project management tools, ERP systems (e.g., SAP), BIM software, and IoT sensors.
- Apply machine learning techniques including regression, clustering, and neural networks for predictive and prescriptive analytics.
- Develop models for predictive maintenance, risk forecasting, supply chain optimization, and quality control.
- Perform time series forecasting, geospatial analysis, and simulation modeling.
- Apply statistical techniques including GLM, regression, random forests, boosting, and text mining.
Deployment & Productionization
- Serialize models and support deployment into production environments.
- Collaborate with engineers to productionize model retraining and serving systems.
Performance Monitoring & Optimization
- Monitor and optimize model performance; detect and address model drift.
- Ensure reliability, robustness, and scalability of deployed AI systems.
Quality Assurance & Risk Management
- Ensure quality assurance via computer vision and other techniques for defect detection and process compliance.
- Implement project-specific AI standards, protocols, and best practices.
- Identify and mitigate risks associated with model predictions and usage.
Data Analysis & Insights
- Create insights from large datasets using Python, R, SQL, Spark, and cloud tools (e.g., AWS S3, Redshift).
Stakeholder Collaboration & Communication
- Work cross-functionally with project managers, engineers, and site personnel.
- Communicate technical findings and model insights in business terms.
Continuous Learning
- Stay updated on emerging data science practices and apply them where relevant.
- Apply deep understanding of EPC and marine project lifecycle from FEED to commissioning.
Qualifications & Experience
- Bachelor's degree in Engineering, preferably Computer Science or Information Science, or equivalent.
- Minimum 5 years of relevant experience in similar roles and industries.
Skills & Competencies
- Python, R, SQL, and Spark.
- Cloud tools including AWS S3 and Redshift.
- Machine learning techniques: regression, clustering, neural networks, random forests, boosting.
- Time series forecasting, geospatial analysis, and simulation modeling.
- Statistical analysis including GLM and text mining.
- Computer vision.
- ERP systems (e.g., SAP), project management tools, BIM software, and IoT sensor integration.
- Cross-functional collaboration and stakeholder communication.