Job Description & How to Apply Below
We are looking for a
Senior Data Scientist
to develop and maintain advanced data analytics solutions and machine learning models for an enterprise environment.
Key Responsibilities
• Develop predictive analytics and machine learning solutions using the data science lifecycle
• Build models for predictive maintenance, equipment failure, production optimization, and risk prediction
• Work with data lakes/data warehouses and large-scale datasets
• Develop and deploy ML models using
Python, PySpark, SQL & Azure Databricks
• Build time-series forecasting and anomaly detection models using
LSTM / Tensor Flow / Keras
• Work with
XGBoost, LightGBM, Random Forest
and advanced feature engineering techniques
• Partner with business stakeholders to translate requirements into technical solutions
• Collaborate with data engineers on ETL and data curation requirements
• Contribute to data science architecture, governance, documentation, and best practices
• Mentor junior data scientists and analysts
Required Skills
✅ 5+ years of Data Science / Data Analytics experience
✅ Strong
Python, SQL and Py Spark
✅ Experience with
Azure Data Lake, Azure Data Factory & Azure Databricks
✅ Machine Learning & Predictive Modeling
✅ XGBoost / LightGBM / Random Forest
✅ Time-Series / LSTM / Anomaly Detection
✅ Data Warehousing & Data Lakes
✅ Strong stakeholder communication and presentation skills
✅ Experience with Agile / Dev Ops is a plus
✅ IoT / streaming data experience is a plus
Position Requirements
10+ Years
work experience
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