Monitor and engage with the latest developments in data science and AI; review internal and competitor content offerings and contribute insights for Udacity’s catalog of Nanodegree programs and courses
Utilize technical expertise, industry knowledge, and research skills to develop high-level scopes for Udacity content
Collaborate with external subject matter experts and internal team members to develop effective online content that adheres to Udacity’s pedagogical standards
Coach and support new authors through the Udacity course development process and provide pedagogical feedback to instructors from the perspective of the “student zero”
Create learning content, including video scripts, instructional text, hands-on exercises, quizzes, and capstone projects using Udacity’s tooling, templates, and pedagogical best practices
Support authors in creating coding environments and interactive tools to enable learners to apply data science techniques
Utilize data and learner feedback to support content effectiveness and student outcomes
Requirements
Deep hands-on expertise in data science, including data wrangling, exploratory data analysis, data visualization, statistical modeling, and machine learning
Proficiency with Python and common data science libraries such as NumPy, pandas, scikit-learn, matplotlib, and seaborn
Experience working with data via SQL, as well as exposure to big data tools such as Spark or distributed databases
Familiarity with descriptive and inferential statistics, A/B testing, and performance metrics
Exposure to cloud-based tools for data workflows (e.g., AWS Sagemaker, Azure Data Factory, Snowflake or Databricks) is a plus
Experience using version control tools like Git
Strong understanding of the end-to-end data science workflow, from problem formulation through to data acquisition, modeling, evaluation, deployment, and interpretation
Ability to translate complex data science concepts into structured, learner-focused content, such as interactive labs, projects, and real-world case studies
2+ years experience in curriculum development and/or teaching technical learning content
2+ years of industry experience in a data science or analytics-focused role
Excellent English verbal, written, and copy-editing skills
A can-do attitude and a growth mindset
Applicants must be currently authorized to work in the United States of America on a full-time basis (no visa sponsorship)
Benefits
Flexible working hours
Paid time off
Comprehensive medical insurance coverage for you and your dependents
Employee wellness resources and initiatives (access to wellness platforms like Headspace)
Quarterly wellness day off
Personalized career development
Unlimited access to Udacity Nanodegrees
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencedata wranglingexploratory data analysisdata visualizationstatistical modelingmachine learningPythonSQLbig dataversion control