高级数据科学家-Pune
Senior Data Scientist-Pune
这是一个远程职位。
Senior Data Scientist（兼职→全职发展路径）
公司：Vulcury LLC
地点：印度（远程）
合作方式：兼职，有强烈转为全职的潜力
薪酬：具有竞争力的时薪或固定报酬；全职转正后可参与长期激励计划
关于 Vulcury
Vulcury LLC 是一家创业工作室和咨询公司，支持多个行业的数据驱动型业务发展。该公司为早期运营公司提供共享服务，包括研究、分析和技术领导力，帮助它们从概念阶段过渡到执行阶段。
此职位将支持一个内部项目，目前的重点是在今年晚些时候计划进行的更广泛的软件和分析构建之前，准备高质量的数据资产和工作流程。
职位概述
Vulcury 正在寻找一名高级数据科学家，负责领导一项早期的数据准备和数据质量改进计划。该职位的主要目标是在开展更广泛开发工作之前，确保数据集结构良好、文档完整，并具备操作可用性。
该职位最初为兼职，预计随着项目进入下一阶段可能会转为全职。高级数据科学家将担任数据相关工作的技术负责人，并监督一支位于印度的初级开发人员和/或数据科学家的小团队。
该职位更注重数据严谨性、流程设计和团队领导能力，而非现阶段的生产模型部署。
主要职责
数据准备与质量
· 定义并监督跨多个数据集的数据组织、标注和验证标准。
- 建立实用的框架，以提高结构化和半结构化数据的一致性、准确性和可用性。
- 确保数据集可审查、可审计，并适合后续的分析或软件开发工作。
流程与工作流设计
· 开发可重复使用的工作流，用于数据摄入、清洗、文档编写和版本控制。
- 识别合适的工具和实践，以支持高效的数据操作，避免过早复杂化。
- 创建清晰的文档，以确保团队扩展时的持续性。
团队领导
· 管理并指导从事数据准备和技术支持任务的分布式印度团队。
- 将高层次需求转化为明确、可操作的任务。
查看英文原文
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