Udacity Marketing

Technical Content Developer, Data Science

Udacity Marketing

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $110,000 per year

Job Level

JuniorMid-Level

Tech Stack

AWSAzureCloudNumpyPandasPythonScikit-LearnSparkSQL

About the role

  • 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
Soft skills
coachingsupporting authorspedagogical feedbackcontent developmentcommunicationproblem formulationlearner-focused contentgrowth mindsetcopy-editingcollaboration
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