Senior Data Scientist- Chennai

About this role

This is a remote position.
Senior Data Scientist (Part-Time → Full-Time Trajectory)
Company:Vulcury LLC
Location:India (Remote)
Engagement:Part-time, with strong potential to convert to full-time
Compensation:Competitive hourly or retainer-based compensation; long-term incentive participation available upon full-time conversion About Vulcury

Vulcury LLC is a venture studio and advisory firm that supports the development of data-driven businesses across multiple industries. The firm provides shared services—including research, analytics, and technical leadership—to early-stage operating companies as they move from concept through execution.

This role will support an internal initiative that is currently focused on preparing high-quality data assets and workflows before a broader software and analytics build planned for later this year.

Role Overview

Vulcury is seeking aSenior Data Scientistto lead an early-stagedata preparation and data-quality initiative. The primary objective of this role is to ensure that datasets are well-structured, well-documented, and operationally usable before more extensive development work begins.

The role is structured aspart-time initially, with a clear expectation that it may transition tofull-timeas the project moves into its next phase. The Senior Data Scientist will serve as the technical lead for data-related work and will oversee a small, India-based team of junior developers and/or data scientists.

This position emphasisesdata rigour, process design, and team leadership, rather than production model deployment at this stage.

Key Responsibilities

Data Readiness & Quality

• Define and oversee standards for data organization, labelling, and validation across multiple datasets.

• Establish practical frameworks to improve consistency, accuracy, and usability of structured and semi-structured data.

• Ensure datasets are reviewable, auditable, and suitable for downstream analytical or software development work.

Process & Workflow Design

• Develop repeatable workflows for data ingestion, cleaning, documentation, and version control.

• Identify appropriate tools and practices to support efficient data operations without premature complexity.

• Create clear documentation that enables continuity as the team scales.

Team Leadership

• Manage and mentor a distributed, India-based team performing data preparation and technical support tasks.

• Translate high-level requirements into clear, actionable work-streams.

• Review outputs and provide feedback to maintain quality and consistency.

Cross-Functional Collaboration

• Work directly with Vulcury leadership to align data efforts with near- and medium-term development plans.

• Support future engineering and analytics hires by delivering well-prepared datasets and clearly defined processes.

• Contribute input to planning for subsequent phases of technical development.

Engagement Details

• Expected commitment of approximately10–20 hours per weekduring the initial phase.

• Flexible structure with a clearly defined path to full-time engagement.

• Fully remote, under Vulcury LLC.

Requirements

Required

• 7+ years of experience in data science, analytics, or data-focused engineering roles.

• Strong proficiency in Python and common data-analysis libraries.

• Demonstrated experience transforming imperfect or unstructured data into reliable, usable datasets.

• Prior experience setting data standards, documentation practices, and quality-control processes.

• Experience managing or mentoring distributed or offshore technical teams.

• Comfort operating in early-stage or ambiguous environments with limited upfront specification.

Preferred

• Background supporting research-heavy, analytical, or data-intensive products.

• Familiarity with text-heavy or document-based data sources.

• Exposure to data modelling or schema design concepts.

• Experience working in startups, venture studios, or early product teams.

Benefits

Why This Role

• Foundational responsibility:You will shape the data practices that future development depends on.

• Growth opportunity:The role is expected to expand as the initiative progresses into a full build phase.

• Leadership visibility:Direct interaction with senior leadership and meaningful ownership of outcomes.

• Global team management:Opportunity to lead and develop a distributed technical team.

• Aligned incentives:Long-term upside participation anticipated upon full-time conversion.

Originally posted on Himalayas