Senior Data Scientist-Pune

About Us At Vulcury, we help businesses thrive through tailored consulting and bring innovative ideas to life with our venture studio. We believe that the future of business is built on a foundation of innovation, strategy, and execution. That’s why we’ve developed two distinct yet complementary divisions: Consulting Division We provide strategic insights and tailored solutions that help businesses overcome challenges, scale operations, and seize market opportunities. Venture Studio Our studio transforms ideas into impactful startups by leveraging our expertise in ideation, incubation, and execution. Together, these divisions allow Vulcury to tackle complex problems, create new opportunities, and make a meaningful impact on businesses and industries. Job Description 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.