Lead Data Scientist

Job Title: Lead Data Scientist / ML Engineer (5+ Years)

Technical Skills:

• Language: Python
• Frameworks: Scikit-learn, TensorFlow, Keras, PyTorch
• Libraries: NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, boto3
• Databases: PostgreSQL, MongoDB
• Cloud: AWS
• Tools: Jenkins, Bitbucket, JIRA, Confluence

Role Overview:

Responsible for designing, implementing, and maintaining ML systems. Work closely with data scientists and engineers to deploy models in NLP, computer vision, and recommendation systems.

Key Responsibilities:

• Preprocess large data sets and build ML models (supervised, unsupervised, deep, reinforcement learning).
• Evaluate models (accuracy, precision, recall, F1).
• Deploy models using CI/CD pipelines and AWS Sagemaker.
• Monitor models and adjust for accuracy and efficiency.
• Collaborate with teams to ensure business value.

Requirements:

• Strong math/stats background (linear algebra, probability, calculus).
• Proficient in Python and scalable coding.
• Deep understanding of ML techniques and model types.
• Skilled in data analysis, cleaning, transformation, visualization.
• Experience with TensorFlow, PyTorch, Keras.
• Familiarity with big data tools (Hadoop, Spark).
• Strong software engineering (Git, Jenkins, Docker).
• Excellent communication and teamwork.