Senior Data Scientist- Chennai
# Senior Data Scientist- Chennai **Vulcury** · United States · `Remote` · `Part Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Scientist]` `[Data-Science]` `[Data-Engineering]` `[Senior-Data-Science]` `[Senior-Data-Scientist-Jobs]` --- ### About the Role 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. Originally posted on Himalayas
- Data-Scientist
- Data-Science
- Data-Engineering
- Senior-Data-Science
- Senior-Data-Scientist-Jobs
Наблюдалась 2026-10-03, впервые 2026-10-03, источник — Himalayas (JSON API).