Description

You will build, deploy, and maintain data science models and analytical workflows to drive decision-making.

Responsibilities

• Execute data exploration, preprocessing, and feature engineering to ensure high data quality.
• Develop and apply statistical models, time series forecasting, and predictive analytics to large-scale datasets.
• Train, evaluate, and optimize machine learning models for production deployment.
• Monitor production models for performance drift and implement retraining strategies.
• Lead projects from inception to deployment and mentor junior team members.

Required Skills

• 5+ years of experience in data science.
• Proficiency in Python or R.
• Extensive experience with NumPy and Pandas.
• Hands-on experience with scikit-learn.
• Proven ability to work with large-scale structured and unstructured datasets.
• Experience with big data technologies including Hadoop and Spark.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Strong understanding of statistical modeling and data analytics.
• Ability to work independently and manage end-to-end project lifecycles.

Key Skills

Education

Any Gradute