Senior Data Scientist- Chennai

 Posted an hour ago
  
 India
  
5-10 years experience
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AI Summary

Lead an early-stage data preparation initiative to ensure datasets are well-structured, documented, and operationally usable. Manage and mentor a distributed India-based team of junior developers and data scientists to maintain high data rigor.

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 a Senior Data Scientist to lead an early-stage data 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 as part-time initially, with a clear expectation that it may transition to full-time as 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 emphasises data 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 approximately 10–20 hours per week during 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.




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