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

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.

1639

Data Scientist

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