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3 Days ago

Data Scientist - Python/LLM

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Bangalore, Karnataka, India
Information Technology
Full-Time
Sampoorna Consultants

Overview

This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements.

Key Responsibilities

  • Data Science : Develop machine learning models to support recommendation systems and NLP 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.

Working Relationships

  • Reporting to Project Manager
  • External Stakeholders Clients

Skills/ Competencies Required

Technical Skills :

  • 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).
  • Microservices, CI CD, ML
  • 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.

Soft Skills

  • Work in a team/ Independently.
  • Excellent Written & Verbal Communication Skills
  • Solid critical thinking and questioning skills.
  • High degree of flexibility - willing to fill in the gaps rather than relying on others
  • Strong communication skills, especially in presenting data insights.
  • Flexibility, problem-solving, and a proactive approach in a fast-paced environment

(ref:hirist.tech)
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