Data Scientist

CGG Services India Private Limited; Navi Mumbai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

CGG Services India Private Limited is looking for a Data Science professional in Navi Mumbai. You will develop systematic data-transformation modules and collaborate closely with Subject Matter Experts to improve annotation workflows.

The ideal candidate has a Master’s degree in a related field, is proficient in Python and ML libraries, and demonstrates strong data-processing skills. This role offers an opportunity to work with advanced data technologies and contribute to impactful projects.

Qualifications

• Background in data science or a related field, ideally with a Master’s degree.
• Proficient in Python and common machine learning libraries.
• Experience with hybrid ML workflows, including traditional ML and LLMs.
• Comfortable working with various database systems.
• Strong skills in data processing, including cleaning and feature extraction.
• Clear communication and strong collaboration skills.

Responsibilities

• Develop data-transformation modules to gather and clean datasets.
• Collaborate with SMEs and the labeling team.
• Build reusable data-processing solutions with version control.
• Troubleshoot and diagnose data inconsistencies.
• Contribute to data integration and feature design initiatives.

Skills

Data science background

Proficient in Python

Experience with ML workflows

Strong data-processing skills

Collaboration skills

Education

Master’s degree preferred

Tools

Python

ML libraries

Relational databases

NoSQL databases

Graph databases

Job description

Key Responsibilities

• Develop systematic data-transformation modules to gather, clean, validate, and structure raw datasets.
• Collaborate closely with Subject Matter Experts (SMEs) and the labeling team, building a solid understanding of domain knowledge and requirements.
• Support SMEs and the labeling team by providing tools, solutions, and continuous technical feedback to improve annotation workflows.
• Build scalable, reusable data-processing solutions and maintain version control using GitLab.
• Troubleshoot and diagnose data issues, proactively flagging inconsistencies or risks.
• Maintain a deep understanding of the Data Hub technology stack and data schemas, staying current with emerging technologies, models, and research.
• Contribute to broader initiatives related to data integration, feature design, and machine learning.
• Design and run experiments, iterate based on results, and document and share learnings with the team.
• Use pre-trained ML models, and train or fine-tune models on internal datasets with proper evaluation and validation.
• Communicate regularly with team members, the team lead, and cross-functional partners in production and technology to ensure alignment and transparency.

Performance Metrics

• Delivers high-quality work on time.
• Quickly learns and applies new tools, technologies, and concepts.
• Demonstrates strong understanding of Data Hub systems and workflows.

Qualifications & Skills

• Background in data science or a related field (Master’s degree preferred).
• Proficient in at least one programming language—ideally Python—with experience in common ML libraries.
• Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs).
• Comfortable working with relational, NoSQL, and graph databases.
• Strong data-processing skills, including cleaning, filtering, and feature extraction.
• Clear communicator with strong collaboration and presentation skills.

We are also dedicated to ensuring that our hiring process is accessible to all. We are committed to equal employment opportunities for all professionals.