About the Role

We are looking for an experienced Data Scientist to work on a part-time remote basis, developing data science and machine learning solutions that solve real-world business and operational problems.

The ideal candidate should have solid hands-on experience in Python, SQL, machine learning, predictive modeling, cloud data analytics , and preferably Azure, Databricks, PySpark, and Azure Data Factory/Data Lake .

Key Responsibilities

- Develop end-to-end solutions using the data science lifecycle.
- Build and maintain data analytics solutions and machine learning algorithms.
- Apply regression, classification, Random Forest, XGBoost, time-series modeling, and anomaly detection .
- Analyze data from data lakes/data warehouses to identify optimization opportunities.
- Work with stakeholders to translate business requirements into technical data science solutions.
- Develop predictive models for production, efficiency, energy consumption, equipment failures, downtime, and operational risks.
- Define ETL/data requirements and collaborate with data engineering teams.
- Design scalable data architectures covering data warehousing, ML, streaming analytics, and visualization.
- Work with cloud data platforms and contribute to improving the data science technology stack.




- Support data quality, testing, governance, documentation, and training.
- Work with streaming/IoT datasets where applicable.
- Mentor junior data scientists and analysts.
- Participate in stakeholder workshops and communicate analytical findings effectively.

Required Skills

- 5+ years of practical experience in Data Science / Data Analytics .
- Strong Python and SQL skills; Scala is a plus.
- Hands-on experience with machine learning and predictive modeling.
- Experience with cloud-based data analytics solutions.
- Knowledge of data processing, data lakes, data warehouses, and ML solutions.
- Strong analytical, communication, presentation, and documentation skills.
- Ability to independently manage projects and make technical decisions.

Preferred Skills

- Azure Data Lake
- Azure Data Factory
- Databricks
- PySpark
- Azure cloud infrastructure
- DevOps
- Agile/Sprint planning
- Streaming analytics / IoT
- Time-series modeling and anomaly detection
- Experience working with industrial/operational sensor data

Work Mode: Part-Time | Remote

Experience: 5+ Years

Looking for candidates who can contribute hands-on to data science and machine learning projects.

📌 Freelance Data Scientist – ML / Azure / Databricks (India)
🏢 IndiTech Consulting
📍 India