Description

Key Responsibilities

Lead the design, development, and deployment of machine learning and predictive analytics solutions.

Analyze large and complex datasets to identify trends, patterns, and business insights.

Develop, test, optimize, and monitor machine learning models.

Perform data cleaning, preprocessing, feature engineering, and model evaluation.

Collaborate with Data Engineering, Software Engineering, Product, and Business teams.

Translate business requirements into scalable data science solutions.

Provide technical guidance and mentorship to Data Scientists.

Present technical findings and recommendations to stakeholders.

Stay current with emerging AI, Machine Learning, and Data Science technologies.

Required Skills

Strong experience in Data Science and Machine Learning

Advanced Python programming skills

Strong SQL skills

Experience with Pandas, NumPy, and Scikit-learn

Strong knowledge of statistics and predictive modeling

Experience building and deploying production-level ML models

Strong communication and leadership skills

Preferred Skills

AWS, Azure, or GCP

PySpark / Big Data

TensorFlow or PyTorch

NLP, Generative AI, or LLMs

MLOps and model monitoring

Agile methodology

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field preferred

Key Skills

Education

Bachelor's or Master's degrees