Posted today · be early
Senior Data Scientist-Pune
Vulcury
IndiaremotePosted today
Skill Required
Data-ScientistData-EngineeringSenior-Data-ScienceSenior-Machine-Learning-Data-ScientistSenior-Data-Scientist-JobsData-ScienceData ScientistData WarehousingEngineeringanalyticalanalyticsPythondesignandParttime
Key highlights
- 7+ years of experience required
- Fully remote
- 10–20 hours per week initially
- Long-term upside participation upon full-time conversion
- Python and common data-analysis libraries
- Part-time with clear path to full-time
Role overview
Vulcury LLC is seeking a Senior Data Scientist to lead an early-stage data preparation and data-quality initiative. The primary objective is to ensure datasets are well-structured, well-documented, and operationally usable before more extensive development work begins. The role is part-time initially, with a clear expectation that it may transition to full-time as the project moves into its next phase, and the Senior Data Scientist will serve as technical lead for data-related work, overseeing a small, India-based team of junior developers and/or data scientists.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
Nice to have
- 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
- 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.
Additional details
- This is a remote position.
- Vulcury LLC is a venture studio and advisory firm that supports the development of data-driven businesses across multiple industries, providing 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 currently focused on preparing high-quality data assets and workflows before a broader software and analytics build planned for later this year.
- The position emphasises data rigour, process design, and team leadership, rather than production model deployment at this stage.
- 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.
- Originally posted on Himalayas.
