About the Role

In the Data organization at Udemy, we’re passionate about transforming the future of education using data! We’re looking for fun, collaborative, self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions. The ideal candidate is an analytically creative thinker who is unafraid of ambiguity, has a track record of tackling difficult technical challenges, and has a pragmatic and relentless focus on driving meaningful business impact. We believe in building diverse teams, collaborative teams in which each person brings unique skills, knowledge, and experience to the table. If this opportunity sounds exciting to you, then read on!

For this posting, we are looking for a data scientist engineer to join the Experimentation Analysis group within the Product Analytics organization. Randomized controlled experiments are a key tool used to inform decision-making at Udemy. The Experimentation Analysis group is a centralized team that oversees experimentation methodology and adoption throughout the company. As a data science engineer within the Experimentation Analysis group, you will be partnering with data scientists to build and maintain the internal tools that power scalable experimentation analysis within the organization. Success in this role requires a combination of statistical expertise, fundamental engineering experience, and strong communication and collaboration skills.

Responsibilities:

• Partner with data scientists and software engineers to design and develop internal tools, libraries, and data pipelines for experimentation analysis
• Provide hands-on guidance and advocacy for engineering best practices within the Experimentation Analysis group
• Improve usability of experimentation analysis tooling through performance optimization, documentation, and tool refinement
• Collaborate with data scientists on the implementation of complex statistical routines needed to perform experiment analysis.

Qualifications:

• 3+ years of full-time experience with software engineering, data engineering, machine learning engineering, or equivalent
• Strong knowledge of algorithms and data structures, theoretical and applied statistics, and numerical linear algebra
• Proficiency with SQL and 1+ programming languages (e.g., Python or Java)
• Familiarity with distributed computing frameworks like Hadoop and Spark.
• Experience building automated big data pipelines using tools like Airflow, and dbt
• Experience in design, development, and maintenance of production software systems
• Self-driven, highly motivated, and able to learn quickly
• Ability to communicate effectively with non-technical stakeholders
• Willingness to collaborate with team members across time zones

Preferred but not required:

• Experience with machine learning operations
• Experience with front-end development frameworks (e.g., ReactJS)

Locations

• Remote, US

Minimum Salary Expectations: 122,000

We understand that not everyone will match the above qualifications 100%. If your background isn’t perfectly aligned but you feel you would be a great addition to the team, we’d love to hear from you.

About Udemy 

At Udemy, we’re all about improving lives through the power of learning. We are a leading global learning company and one of the world’s largest education platforms with more than 54 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals. Talented people are everywhere, but opportunities can be hard to come by. That’s why we’re focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by empowering our learners, our instructors, and businesses around the world.

We are proud to be recognized for our world-class employee experience. Learn more about our Great Place to Work certification here and find out what it's like to work at Udemy on our blog.

Udemy is headquartered in San Francisco with global offices in the US, Turkey, Ireland, Australia, India, and Brazil. Learn more on our company page.

Information regarding data privacy is available within the Udemy Careers Privacy Notice.

At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We will consider for employment qualified applicants with arrest and conviction records.

Udemy Benefits:

• Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
• Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
• HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
• Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
• Retirement: Access to 401(k) with annual employer contribution.
• Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
• Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
• Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
• Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
• Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
• Holidays: 11 paid holidays throughout the year