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.
