Data Scientist

Responsibilities

• Lead data science projects, delivering actionable insights that support business decisions.
• Build and deploy AI/ML models with a focus on scalability and performance.
• Work with large datasets to extract patterns, trends, and customer behavior insights.
• Apply advanced ML concepts (e.g., Deep Learning, GANs, Transformers, NLP, LLMs).
• Design and optimize ELT/ETL processes using AWS Glue and related services.
• Conduct data segmentation, churn analysis, market basket modeling, and A/B testing.
• Collaborate with stakeholders to define requirements, walk through use cases, and deliver measurable outcomes.

Required Skills & Qualifications

• 5 years of experience in Data Science.
• 2–3 years of hands-on AI/ML development.
• Strong proficiency in Python and SQL.
• Mandatory AWS expertise (Azure/Google Cloud Platform not acceptable).
• Experience with CI/CD and MLOps (Git, Docker).
• Familiarity with distributed datastores (SQL, NoSQL) and big data tools.
• Experience with Cloud Llama or similar LLM frameworks.

Nice to Have

• Experience with TensorFlow, PyTorch, Jupyter Notebooks, SageMaker.
• Experience working with large-scale industry datasets.
• Hands-on with model management frameworks and modern LLMs (Claude, Llama, Haiku, Gemma).

Soft Skills

• Strategic thinker with strong analytical and problem-solving skills.
• Ability to clearly explain use cases and insights to business and technical teams.
• Strong communication skills, with experience influencing customer acquisition and retention strategies.

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