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 strong 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