Job Title:
Data Scientist
Company: NorthStar HR Consultants
Location: Pune, Maharashtra
Created: 2026-03-28
Job Type: Full Time
Job Description:
Job Title - Data ScientistJob Location - Pune, MaharashtraMust Have Skills - Python (NumPy, Pandas, Scikit-learn), Query optimization, indexing, aggregation pipelines, Parallel processing (multiprocessing/async), Time-series data, anomaly detection, statistical modelingRole OverviewAs 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 inferenceDesign ML models for time-series data, anomaly detection, and predictive maintenanceOptimize production systems: Database optimization (MongoDB): indexes, connection pooling, 3-5X performance improvementBatch processing: parallel processing, async operations, memory managementModel optimization: NLP & LLM: enhance conversational AI bots with intelligent query generationBuild monitoring systems: real-time dashboards, SLA tracking, automated scalingMust-Have Skills:2+ years hands-on data science/ML experienceStrong Python (NumPy, Pandas, Scikit-learn)Deep learning: TensorFlow, Keras, or PyTorchSQL(Tigerdata) & NoSQL(MongoDB), Time Series DB: Query optimization, indexing, aggregation pipelinesDatabase optimization: Index design, query tuningBatch processing: Parallel processing (multiprocessing/async)Time-series data, anomaly detection, statistical modelingStrong CS fundamentals and debugging skillsGood-to-Have:MLOps tools, Lambda optimization, caching (Redis/ElastiCache)Monitoring: Grafana, PrometheusNLP/LLM: Prompt engineering, conversational AIIoT/sensor data experience, startup experienceAWS: Lambda, S3, CloudWatch, ElastiCache/RedisDocker, SQL, Flask API development