Data Scientist

KEY RESPONSIBILITIES

• Data Science: Develop machine learning models to support recommendation systems and NLP GEN AI projects; provide actionable insights for product and service optimization.
• Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics.
• Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services.
• Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions.

Skills/ Competencies Required

• Proficiency with Python (Pandas, NumPy), SQL, and Java.
• Experience with LLMs, LangChain, and Generative AI technologies.
• Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).
• Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.
• Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.
• Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.
• Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.