Senior Data Scientist-Pune

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