Data Scientist

Data Science - JD

Key Responsibilities

Work with data from multiple internal / external data sources and APIs including Hadoop clusters

Work with structured as well as unstructured data

Data wrangling for cleanup, handle missing data, standardize / scale data

Explore and analyze data using visualizations to uncover hidden patterns

Use ML techniques including linear / logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models

Use these models to identify patterns and rules which help unearth business insights and aid in decision making

Education & Experience

Bachelor, Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field

3+ years of hands-on experience with NLP, recommendation systems, or generative AI

Technical Skills

Programming : Expert-level Python; proficiency in SQL, or Scala

ML Frameworks : PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers

NLP Libraries : spaCy, NLTK, Gensim, transformers

Big Data : Spark, Hadoop, or similar distributed computing frameworks

Cloud Platforms : AWS / GCP / Azure ML services and infrastructure

MLOps : Experience with model deployment, monitoring, and CI / CD pipelines

Databases : SQL and NoSQL databases, vector databases (Opensearch )

Deep understanding of transformer architectures and attention mechanisms

Experience with recommendation system architectures (matrix factorization, deep learning approaches)

Knowledge of information retrieval and search relevance

Familiarity with A / B testing and statistical significance testing

Understanding of ML interpretability and fairness considerations