Data Scientist

Viridien; Thane; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Viridien, located in Thane, Maharashtra, is seeking a skilled data scientist to develop and maintain data transformation modules. The ideal candidate will have a strong background in data science, ideally with a Master’s degree, and proficiency in Python and associated ML libraries.

Responsibilities include collaborating with Subject Matter Experts (SMEs), building scalable solutions, and maintaining data integrity. The position emphasizes team collaboration and effective communication to align with cross-functional partners.

Viridien values diversity and is committed to equal employment opportunities for all professionals.

Qualifications

• Master’s degree in data science or a related field preferred.
• Proficient in Python with experience in ML libraries.
• Comfortable with relational, NoSQL, and graph databases.

Responsibilities

• Develop data-transformation modules to structure datasets.
• Collaborate with SMEs and the labeling team.
• Build scalable data-processing solutions and maintain version control.

Skills

Python

Data science

ML libraries

Relational databases

NoSQL

Graph databases

Data processing

Communication

Collaboration

Presentation skills

Education

Master’s degree in data science or related field

Tools

ML frameworks

GitLab

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

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

• Deliver high‑quality work on time.
• Quickly learn and apply new tools, technologies, and concepts.
• Demonstrate 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 see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.