Data Scientist

Job Title - Data Scientist

Job Location - Pune, Maharashtra

Must Have Skills - Python (NumPy, Pandas, Scikit-learn), Query optimization, indexing, aggregation pipelines, Parallel processing (multiprocessing/async), Time-series data, anomaly detection, statistical modeling

Role Overview

As a Data Scientist / Senior Data Scientist, you will play a critical role in building production-grade ML systems that drive real-world outcomes—energy efficiency, predictive maintenance, anomaly detection, and operational intelligence for HVAC/R systems. You will work closely with backend engineers, product managers, and domain experts to translate raw sensor data into reliable models that power customer-facing features and internal decision-making.

This role requires someone who can think long-term architecturally, while delivering short-term, measurable impact in a fast-moving startup environment.

What You'll Do:

• Scale ML systems for 5X growth—optimize batch processing, database queries, and model inference
• Design ML models for time-series data, anomaly detection, and predictive maintenance
• Optimize production systems: <3s response times, 30% cost reduction, 99.9% uptime
• Database optimization (MongoDB): indexes, connection pooling, 3-5X performance improvement
• Batch processing: parallel processing, async operations, memory management
• Model optimization: <500ms inference latency, caching strategies
• NLP & LLM: enhance conversational AI bots with intelligent query generation
• Build monitoring systems: real-time dashboards, SLA tracking, automated scaling

Must-Have Skills:

• 2+ years hands-on data science/ML experience
• Strong Python (NumPy, Pandas, Scikit-learn)
• Deep learning: TensorFlow, Keras, or PyTorch
• SQL(Tigerdata) & NoSQL(MongoDB), Time Series DB: Query optimization, indexing, aggregation pipelines
• Database optimization: Index design, query tuning
• Batch processing: Parallel processing (multiprocessing/async)
• Time-series data, anomaly detection, statistical modeling
• Strong CS fundamentals and debugging skills

Good-to-Have:

• MLOps tools, Lambda optimization, caching (Redis/ElastiCache)
• Monitoring: Grafana, Prometheus
• NLP/LLM: Prompt engineering, conversational AI
• IoT/sensor data experience, startup experience
• AWS: Lambda, S3, CloudWatch, ElastiCache/Redis
• Docker, SQL, Flask API development