Data Science Editor

Europe

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, Data Science, Artificial IntelligenceIndustries

Requirements

Candidates must have a strong understanding of data science, AI, cloud, or data engineering, with the ability to write technical content in these areas and provide relevant writing or editing samples. A deep knowledge of at least one programming language (Python, R, SQL) or Business Intelligence tool (Tableau, Power BI) is required, along with exceptional attention to detail and proficiency in using AI tools for content creation without compromising quality. Preferred qualifications include strong data engineering and/or cloud expertise, prior experience as a data scientist or developer, demonstrable success in driving organic growth through editorial content, and knowledge of SEO best practices.

Responsibilities

The Data Science Editor will be responsible for creating, editing, and delivering technical data and AI tutorials in written or video formats. This role involves working with a network of freelance creators to scale DataCamp's blog and YouTube channels, collaborating with editors, marketers, and SEO experts to drive organic traffic. Key duties include recruiting, managing, and assigning work to freelance creators, editing their content to ensure quality and timeliness, and developing content briefs. The editor will also use SEO keyword analysis to improve content and is expected to maintain an editorial calendar, delivering 25 new articles and 4 new videos per month while ensuring freelancers meet quality standards and deadlines.

Skills

Data Science

Cloud

Data Engineering

Technical Writing

Editing

Content Creation

Python

SQL

Tableau

Power BI

Attention to Detail

AI Tools for Content Creation

Workflow Automation

DataCamp

Online platform for data science education

About DataCamp

DataCamp is an online learning platform focused on teaching data science skills to individuals and businesses. It offers a variety of courses and learning paths that cover topics such as data analysis, machine learning, and statistics, using popular tools like R, Python, and SQL. Users can learn at their own pace through video tutorials and coding challenges, which are accessible from any web browser. For businesses, DataCamp provides customized plans to help employees improve their data skills, addressing the increasing need for data literacy in the workforce. The platform operates on a subscription model, allowing users to start learning for free but requiring a paid subscription for full access to all courses and features. DataCamp stands out from competitors by specifically targeting the data science niche and offering a comprehensive suite of resources tailored to both individual learners and organizations.

New York City, New YorkHeadquarters

2013Year Founded

$30.3MTotal Funding

EARLY_VCCompany Stage

Data & Analytics, EducationIndustries

1,001-5,000Employees