Data Scientist

We are looking for an experienced Data Scientist to join on a 6-month engagement. The ideal candidate will bring expertise in data engineering, time series forecasting, machine learning frameworks, and large-scale data processing. The candidate will collaborate with internal teams to design, develop, and deploy data science solutions for business-critical use cases.

• Develop, optimize, and maintain scalable data pipelines and workflows using Python, SQL, and PySpark.

• Manage and configure Databricks workspaces, clusters, and notebooks.

• Implement Delta Lake-based solutions for data versioning, ACID transactions, and time travel.

• Perform advanced time series forecasting, anomaly detection, and model development using MLflow.

• Apply strong feature engineering and machine learning techniques to real-world datasets.

• Ensure data quality and validation across different stages of the pipeline.

• Build reusable, modular, and configuration-driven code using OOP principles.

• Write unit tests, integration tests, and validations for robust pipeline execution

• Collaborate with cross-functional teams to identify use cases and deliver scalable solutions.

• Maintain clear communication with stakeholders through insights and technical presentations.

Mandatory Skills: Python, SQL, Git/GitHub, Spark/PySpark, Databricks, Delta Lake, ETL/ELT, YAML, MLflow, Feature Engineering, Time Series Analysis, Data Quality & Validation, OOP, Testing.

Required Skills: Docker, Monitoring & Logging, Problem-Solving, Collaboration, Communication, Ownership, Adaptability, Continuous Learning.