Data Scientist

Team Geek Solutions; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Team Geek Solutions in Bengaluru seeks an experienced Data Scientist to build and optimize data pipelines, develop ML models, and collaborate across teams to translate data into actionable insights.

You will perform EDA, feature engineering, and model evaluation, stay current with Generative AI and LLMs, and document methodologies for future reuse.

Qualifications

• Design and build data pipelines: ETL/ELT from diverse sources into storage systems.
• Data integration: collaborate with data scientists, analysts, and engineers for analysis.
• Data quality and validation: implement quality checks, error handling, monitoring.
• Optimize performance: improve pipelines and queries for high-volume data.
• Maintain documentation: keep technical docs for data systems and processes.
• Security and compliance: ensure secure data handling and regulatory compliance.
• Continuous learning and innovation: stay updated on new data engineering tools and techniques.

Responsibilities

• Collect, clean, and preprocess data to ensure quality and accuracy.
• Develop and refine statistical models and ML algorithms to solve real-world problems.
• Collaborate with cross-functional teams to identify analytical needs.
• Perform exploratory data analysis to uncover patterns and relationships in datasets.
• Evaluate model performance using appropriate metrics and iterate for accuracy and efficiency.
• Document analyses, methodologies, and best practices for future reference.
• Stay up-to-date with AI/ML technologies and explore deep learning, Generative AI, and LLMs.
• Present findings to both technical and non-technical stakeholders clearly.

Skills

eda

machine learning

gen ai

data scientist

python

ml

sql

generative ai

llm

models

ai/ml

deep learning

Job description

Key Responsibilities

• Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy.
• Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems.
• Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs.
• Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets.
• Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency.
• Document analyses, methodologies, and best practices to maintain clear records for future reference.
• Stay up-to-date with emerging AI/ML technologies and actively explore new approaches— especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs).
• Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner.

Position: Data Scientist

Notice Period: Immediate Joiner

Experience: 5+ Years

Qualifications

• Design and Build Data Pipelines: Assist in the development of reliable, efficient ETL (Extract, Transform, Load) and/or ELT pipelines that move data from a variety of internal and external sources into data storage systems.
• Data Integration and Collaboration: Work closely with data scientists, data analysts, and software engineers to ensure data is readily available and properly structured for analysis and modeling.
• Data Quality and Validation: Implement quality checks, error handling, and monitoring processes to ensure the reliability and accuracy of data.
• Optimize Performance: Contribute to the optimization of data pipelines and database queries to handle high-volume data and achieve better performance and scalability.
• Maintain Documentation: Develop and maintain technical documentation for data systems, pipelines, and processes to keep the team aligned and informed.
• Security and Compliance: Support efforts to ensure secure data handling and compliance with relevant regulations and industry best practices.
• Continuous Learning and Innovation: Stay informed about emerging data engineering tools, techniques, and technologies; share learnings with the team; and implement improvements where applicable.

Skills: eda,machine learning,gen ai,data scientist,python,ml,sql,generative ai,llm,models,ai/ml,deep learning