高级数据科学家-钦奈
Senior Data Scientist- Chennai
这是一个远程职位。
高级数据科学家（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费用；全职转正后可参与长期激励计划
关于 Vulcury
Vulcury LLC 是一家风险投资工作室和咨询公司，致力于支持多个行业的数据驱动型业务的发展。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进行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 正在寻找一位高级数据科学家，负责领导一个早期阶段的数据准备和数据质量项目。该职位的主要目标是在进行更广泛开发工作之前，确保数据集结构良好、文档完整，并且可用于实际操作。
该职位最初为兼职，明确预期在项目进入下一阶段后可能转为全职。高级数据科学家将作为数据相关工作的技术负责人，并监督一支位于印度的小型初级开发人员和/或数据科学家团队。
此职位强调数据严谨性、流程设计和团队领导能力，现阶段不涉及生产模型的部署。
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、标记和验证标准。
- 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，避免过早的复杂性。
- 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清晰、可操作的指令。
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