Description

You will develop and deploy scalable data pipelines and machine learning models to drive operational efficiency and business insights.

This role is remote.

Responsibilities

• Build and deploy scalable data pipelines using Databricks and PySpark.
• Design and implement machine learning models using Python and related libraries.
• Cleanse data and perform feature engineering to maintain high data quality.
• Collaborate with cross-functional teams to define business problems and deliver data-driven solutions.
• Maintain technical documentation for models and data pipelines.

Required Skills

• 5+ years of experience in data science or a related field.
• 3+ years of experience with Databricks and PySpark.
• 2+ years of experience with Python, including SciKit-learn and TensorFlow.
• 2+ years of experience with SQL and data warehousing.
• Proficiency in Data Analysis, R, and PyTorch.
• Experience with data visualization tools such as Tableau and Power BI.
• Strong understanding of machine learning model development and deployment.
• Excellent communication and collaboration skills.

Preferred Skills

• Experience with cloud-based data platforms, specifically Azure.
• Experience with Agile development methodologies.

Key Skills

Education

Any Gradute