We are looking for a highly motivated Data Scientist to analyzelarge-scale datasets, develop predictive models, and generate actionableinsights that drive business and operational decisions. The ideal candidatecombines strong analytical skills, statistical knowledge, machine learningexpertise, and business understanding to solve complex real-world problems.
The Data Scientist will work closely with software engineers, productmanagers, domain experts, and stakeholders to design data-driven solutions anddeploy machine learning models into production environments.
Key Responsibilities
- Collect, clean, preprocess, and analyze structured and unstructured datasets
- Develop machine learning, statistical, and forecasting models
- Design and implement predictive analytics and optimization algorithms
- Build dashboards, reports, and visualizations to communicate insights
- Work with engineering teams to productionize AI/ML models
- Identify patterns, anomalies, and trends from operational data
- Perform feature engineering and model evaluation
- Conduct A/B testing and experimental analysis
- Optimize model performance, scalability, and accuracy
- Collaborate with cross-functional teams to define business problems and data requirements
- Document methodologies, assumptions, and findings
- Stay updated with the latest AI, machine learning, and data science technologies
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field
- 2+ years of experience in data science, machine learning, or analytics
- Strong proficiency in Python or R
- Experience with machine learning libraries such as:
- -TensorFlow
- -PyTorch
- -Scikit-learn
- -XGBoost
- Strong knowledge of:
- -Statistics
- -Probability
- -Data modeling
- -Machine learning algorithms
- Experience with SQL and database querying
- Familiarity with data visualization tools:
- -Power BI
- -Tableau
- -Matplotlib
- -Plotly
- Experience handling large datasets and ETL pipelines
- Strong problem-solving and communication skills
Preferred Qualifications
- Experience with cloud platforms such as:
- -Amazon Web Services
- -Microsoft Azure
- -Google Cloud
- Familiarity with MLOps and model deployment workflows
- Experience with Docker and Kubernetes
- Knowledge of big data technologies:
- -Spark
- -Hadoop
- -Kafka
- Experience with time-series forecasting, anomaly detection, or NLP
- Experience working in industrial IoT, energy, or EMS/BESS systems is a plus
Technical Skills
Programming
Machine Learning
- Regression
- Classification
- Clustering
- Deep Learning
- Time-Series Forecasting
- Reinforcement Learning (optional)
Data Engineering
- ETL Pipelines
- Data Warehousing
- Data Lakes
- Streaming Data Processing
Visualization
- Tableau
- Power BI
- Grafana
- Plotly
Soft Skills
- Analytical thinking
- Strong communication skills
- Problem-solving mindset
- Ability to work independently and collaboratively
- Attention to detail
- Business acumen
Nice-to-Have Domain Experience
- Energy Management Systems (EMS)
- Battery Energy Storage Systems (BESS)
- Smart Grid / Microgrid systems
- Industrial IoT telemetry analytics
- Predictive maintenance
- Alarm analytics and anomaly detection
Example Projects
- Predictive maintenance for industrial equipment
- Battery degradation prediction
- Energy consumption forecasting
- Anomaly detection on telemetry streams
- Optimization of microgrid dispatch strategies
- Demand forecasting and load prediction
KPIs / Success Metrics
- Model accuracy and performance
- Reduction in operational inefficiencies
- Forecasting accuracy improvement
- Deployment success rate
- Business impact generated from analytics insights
- Reduction in false alarm rates
Benefits
- Competitive salary and bonus
- Flexible work arrangements
- Medical and insurance coverage
- Learning and certification support
- Career growth opportunities
- Exposure to cutting-edge AI and energy technologies
