Job Description :- Data Science Lead

Location :- Thane ( onsite)

Experience :- 6+ years 

Salary:  18L to 24L per annum

Job Type :  full-time

About us:

CircoLife is a climate tech start-up with a circular business model, offering highly energy-efficient & smart air conditioners on a 'Cooling-as-a-Service' or subscription model in India. Key features of the product and service model include: 5-star ACs, intelligent systems for optimized performance and predictive maintenance, energy consumption analytics, an electricity bill management tool, and no-cost maintenance services and spare parts as part of the fixed monthly subscription rate (with no additional costs).

Our vision is to build a fully circular model for cooling solutions, from design through to the end of product life, harmonized across all lifecycle stages. We focus on both the B2C and B2B segments, especially small businesses that dominate the Indian landscape.

Role Overview:

As a Data Scientist Lead, you will define, develop, and deploy AI-powered models that optimize energy efficiency, predict system failures, and enhance user experience. You will lead a team of data scientists and collaborate with engineers, product managers, and business stakeholders to drive data-driven decisions at scale.

Key Responsibilities

· Develop and deploy AI/ML models for predictive maintenance, anomaly detection, and energy efficiency optimization.

· Work with real-time IoT sensor data (temperature, power consumption, compressor load, etc.) to extract actionable insights.

· Design and build scalable data pipelines for handling real-time streaming data.

· Optimize machine learning models for failure detection, energy optimization, and performance improvement.

· Collaborate with engineering teams to integrate AI solutions into Circolife’s cloud-based platform.

· Build and maintain data-driven dashboards for monitoring AC performance and customer engagement.

· Continuously research and implement cutting-edge AI/ML techniques for improving efficiency.

· Work closely with business and operations teams to translate business needs into scalable AI solutions.

Required Skills & Qualifications

· 6+ years of experience in Data Science, AI, or Machine Learning, with at least 3+ years of hands-on development experience.

· Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, FastAPI).

· Experience with IoT sensor data, real-time streaming, and time-series forecasting.

· Hands-on expertise in SQL, NoSQL, and Big Data processing (Spark, Hadoop, Apache Kafka, etc.).

· Strong background in MLOps, cloud-based AI deployment (AWS, GCP, or Azure).

· Experience in data engineering, ETL, and building scalable AI infrastructure.

· Ability to work independently on complex problems and drive AI adoption.

Preferred Qualifications

· Strong knowledge of predictive maintenance frameworks.

· Experience with AutoML, reinforcement learning, or edge AI for IoT applications.