Data Scientist - Algorithms at Udemy

| San Francisco
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ABOUT THE ROLE:
From building the world’s most comprehensive knowledge graph to enabling content discovery across Udemy’s catalog of over 100,000 courses, Data Scientists at Udemy develop the algorithms and models that drive Udemy’s two-sided marketplace by combining software engineering best practices with rigorous quantitative approaches.
ABOUT YOU:
As a Data Scientist in our Algorithms track, you will be partnering with product managers, designers, and engineers to build algorithmic and model-driven solutions to power data products that affect the user experience. Success in this role requires a combination of product intuition, data analysis skills, machine learning, and the coding chops to dive head first into development on production systems.
Note: Algorithms is one of three Data Scientist tracks at Udemy (Insights, Inference, and Algorithms). Please refer to those job descriptions for additional context and only apply to one of the three roles.

Here’s what you’ll be doing:

  • Collaborate with product managers, designers, and engineers to scope and build data products
  • Perform statistical analysis, key metrics, and feature engineering for data products
  • Develop production-grade data pipelines to power ML-based data products
  • Design and analyze experiments and monitor performance of data products
  • Proactively influence product prioritization through data-driven insights
  • Provide technical mentorship to others
  • Assist other Data Scientists and perform ad hoc analyses when necessary
  • Build Udemy’s technical brand through talks, blog posts, and publications

We’re excited about you because you have:

  • 1+ years of hands-on data science experience building complex data products
  • Ability to communicate effectively with non-technical stakeholders
  • Strong knowledge of statistics, machine learning, and natural language processing
  • Proficiency with SQL and 1+ programming languages (e.g., Python or Scala)
  • Familiarity with standard software engineering practices and distributed computing
  • Experience using big data technologies (e.g., Hadoop, Spark)
  • #LI-RA1

About Udemy
We believe anyone can build the life they imagine through online learning. Today, more than 50 million students around the world are advancing their careers and passions by exploring and mastering new skills on Udemy, and expert instructors are able to share their knowledge with the world. Through our global marketplace and our solutions for businesses and governments, we connect people everywhere with the skills they need for success in work and life. We’re a close-knit bunch that enjoys problem-solving and collaboration, and we share a serious belief in the power of learning and teaching to change lives. Udemy’s culture encourages innovation, creativity, passion, and teamwork. We also celebrate our milestones and support each other every day.
Founded in 2010, Udemy is privately owned and headquartered in San Francisco’s SOMA neighborhood with offices in Denver (Colorado), Dublin (Ireland), Ankara (Turkey), Gurugram (India), and São Paulo (Brazil).
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Technology we use

  • Engineering
  • Sales & Marketing
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • SqlLanguages
    • ReactLibraries
    • DjangoFrameworks
    • HadoopFrameworks
    • CassandraDatabases
    • HiveDatabases
    • WordpressCMS
    • SalesforceCRM
    • MailChimpEmail
    • MarketoLead Gen

Location

SOMA

An Insider's view of Udemy

How would you describe the company’s work-life balance?

I’ve been really impressed by the work-life balance at Udemy. Each team has the freedom to choose a schedule and system that works for them. Everyone is committed to the success of their team and Udemy as a whole, and this flexibility and trust enables each of us to work in a way that helps maximize our impact.

Katie

Full Stack Web Development Software Engineer, Instructor Loyalty

How do you collaborate with other teams in the company?

As a member of the Marketing Efficiency Decision Science team, I help determine how Udemy can invest money efficiently. We partner with all levels of the Marketing and Finance teams to align our goals and drive implementation. We also work with the Data Products and platform team to ensure we utilize the most robust models and architecture.

Silvia

Data Scientist II

How does the company support your career growth?

Udemy provides me with daily opportunities to grow as an engineer. My manager genuinely cares about my career plan and professional growth. In every project that we’ve chosen for me to work on, I had the chance to improve my weaknesses and demonstrate my strengths. It is so important to feel valued at work, and Udemy has been doing a great job.

Duygu

Senior Staff Engineer

How do you make yourself accessible to the rest of the team?

My philosophy goes beyond normally scheduled one-on-ones, which I regard as simply guaranteed check points. I have a truly “interrupt me anytime” policy, so my staff feels comfortable enough to talk with me at any moment. My team is my work-family and, as with my own family, it is a top priority for me to be there to support them.

Justin

Senior Data Science Manager

What are Udemy Perks + Benefits

Culture
Intracompany committees
Open office floor plan
Diversity
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Family Medical Leave
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Free Daily Meals
Stocked Kitchen
Happy Hours
Parking
Professional Development Benefits
Job Training & Conferences
Diversity Program
Lunch and learns
Promote from within
Continuing Education stipend
Time allotted for learning
Online course subscriptions available
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