Staff Data Scientist

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. 

About You

Our 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, 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!

At Udemy, data scientists generally belong to one of three career tracks:

• Insights: Focused on analytics, data visualization, A/B testing, and stakeholder partnership.

• Inference: Focused on causal or statistical inference for interpretation of data.

• Algorithms: Focused on machine learning and building production data products.

For this posting, we are looking for a Staff Data Scientist in the Insights track to partner with our Globalization pod.

The Globalization pod is a collection of teams focused on customizing Udemy’s education products for non-U.S. markets around the globe. In this role, you will work with product managers, designers and engineers to drive data-informed decisions about how we prioritize, drive, and measure our international business goals. Success in this role will require a combination of strong communication and collaboration skills, sharp product sense, a customer-centric mindset, and solid technical data science skills.

What you’ll be doing:

• Working with the Globalization PMs and Marketing teams to quantify, understand, and prioritize Udemy’s global business and product goals. 

• Drive data-informed decision making within the Globalization pod by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team. 

• Build metrics & dashboards for the Globalization product and marketing teams to understand user behaviors, key customer journeys, and help identify challenges and opportunities for the team based on patterns in user data. 

• Build metrics to measure course enrollments, course engagement, and user retention in specific markets, and use those metrics to help brainstorm potential product experiments to drive improvements in them.

• Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Udemy’s products. 

• Work with the team to develop a rich program of experimentation and A/B testing to improve learner experiences in all of Udemy’s products within key international markets.

• Help PMs and engineers understand differences in local learner consumption patterns and user behaviors in various global markets. 

Responsibilities

• Serve as the data science subject matter expert for the team, and help drive the product analytics roadmap within the Globalization pod.

• Serve as technical lead on all work related to user journeys, growth, and conversion.

• Influence product prioritization and key business decisions through data-driven insights.

• Define metrics and build operational dashboards to track business and product health.

• Design and analyze randomized controlled experiments (A/B tests).

• Develop robust data pipelines and continuously improve the quality and accessibility of data.

• Build Udemy’s technical brand through talks, blog posts, and publications.

• Take responsibility for leading major team initiatives, and independently driving a product-focused roadmap for your data science work. 

What you'll have

• Demonstrated track record leading major data science or analytics team projects in prior roles.

• 5+ years of relevant hands-on experience in product or business analytics roles.

• Ability to communicate effectively with both technical and non-technical stakeholders in writing and verbally.

• Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).

• Exceptional data storytelling and data visualization ability. Experience with Mode and/or Tableau is a plus. 

• Broad knowledge of applied statistics, experimental design, and analysis of A/B tests.

• Expert SQL ability and proficiency with 1+ programming languages (e.g., Python).

• Experience building automated big data pipelines using tools like Spark, Airflow, and dbt.

• Master’s degree or above in data science, computer science, statistics, or other quantitative field (such as economics, political science, or engineering).

• Ability and willingness to work autonomously, relentlessly prioritize, and collaborate with team members in U.S. time zones as well as locally in India.