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 and be able to write technical content in these areas, providing relevant examples of their work. A detailed 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 create, edit, and deliver written or video-based technical tutorials in the data and AI space, working with freelance creators to scale the company's blog and YouTube channels. Responsibilities include collaborating with editors, marketers, and SEO experts to drive organic traffic, recruiting and managing freelance creators, assigning technical content, editing freelance work for quality and timeliness, and ensuring content aligns with SEO keyword analysis and audience needs. The role involves maintaining an editorial calendar and delivering a target of 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

Benefits

Competitive salary

Stock options

Generous healthcare benefits

Fully paid parental leave

Personal development budget

Personal office equipment budget

International company trips and trainings

Free lunch and healthy snacks

Risks

Competition from AI models like Mistral's Codestral Mamba may divert potential users.

Partnership with Alteryx could lead to conflicts of interest or dependencies.

DISH Network lawsuit poses financial and reputational risks for DataCamp.

Differentiation

DataCamp offers interactive, expert-led courses in data science and AI.

The platform provides tailored business solutions for scalable employee training.

DataCamp's partnerships enhance its course offerings and social impact.

Upsides

Growing demand for data literacy boosts DataCamp's business and individual user base.

Partnerships with Alteryx and Women in Data expand DataCamp's reach and influence.

New AI models present opportunities for specialized course development.

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