Curriculum Manager - Data Science and Analytics at DataCamp

Belgium

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, TechnologyIndustries

Requirements

Solid technical background in Python and SQL, with proficiency in R; ability to quickly learn new concepts in data science
Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences
Graduate degree (Master’s or PhD) in Data Science, Statistics, AI, Computer Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science or machine learning
Ability to work collaboratively with both technical and non-technical stakeholders; thrives wearing multiple hats
Strong written and verbal communication skills and attention to detail
Strong sense of ownership, accountability, and urgency
Experience using AI tools for content creation and workflow automation—without sacrificing truthfulness and quality
Strong technical background
Passionate about data education and wants to shape how the next generation of data scientists and data engineers learn
Stays current with the latest trends, tools, and technologies
Thrives in fast-paced environments
Communicates clearly and can make complex ideas easy to understand
Takes ownership and brings structure to ambiguity
Bonus
PhD in Data Science, Statistics, AI, Computer Science, or a related field
Deep understanding of the DataCamp course format—intuitive understanding of what makes a great DataCamp course
Existing network of potential subject matter experts who can become DataCamp instructors

Responsibilities

Manage the entire content development lifecycle and deadlines
Source and recruit top-tier instructors who are subject matter experts
Collaborate with instructors to create engaging content
Design, review, and create content covering topics in data science and data analytics; review content from a learner perspective, ensuring it is technically accurate and pedagogically effective
Work with cross-functional teams to enable content creation for more advanced technical topics
Continuously assess course performance using learner feedback and engagement data to drive improvements
Own your portion of the curriculum roadmap
Identify and prioritize existing curriculum gaps or new topics in data science
Identify opportunities and develop AI workflows to optimize content creation and enhance quality

Skills

Data Science

Analytics

Curriculum Development

Content Creation

Instructor Recruitment

Course Design

Technical Review

Data Education

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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