Staff Data Scientist
Staff Data Scientist
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1 Vacancy
Job Description
Join Udemy. Help define the future of learning.
Udemy is an AI-powered skills acceleration platform built to help people and teams grow. Its personalized practical and focused on real-world impact.
Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use whether theyre picking up something new or leveling up to stay ahead.
Over 80 million learners and 17000 businesses already learn with Udemy. If youre excited by change energized by learning and ready to have a real impact youll feel right at home.
Learn more about us on our company page.
Where we work
Udemy is a global company headquartered in San Francisco with additional U.S. offices in Denver and Austin and international hubs in Australia India Ireland Mexico and Trkiye. This is an in-office position requiring three days a week in the office (Tuesday Wednesday Thursday) and flexibility on Mondays and Fridays.
About your skills
Building: You are a hands-on builder designing and constructing intelligent reliable machine learning systems and analytics pipelines from the ground up. Drawing on deep expertise in statistical methods causal inference and ML best practices you create modular reproducible solutions for segmentation forecasting inference and experimentation. You ensure that every componentfrom feature engineering to deployment and monitoringis built with scalability code quality and robust performance in mind transforming ambiguous requirements into production-ready analytics services that deliver measurable business value.
Influencing: You foster relationships across engineering product and analytics teams utilizing your credibility and communication skills to advocate for best practices and align requirements. You ensure technical designs satisfy both immediate project needs and broader strategic priorities constructively challenging assumptions when necessary to deliver optimal impact.
Technical Decision Making: You apply rigorous critical thinking and a structured approach to technical problem solving drawing on your deep expertise in ML MLOps and software architecture.
Coaching and Mentorship: You share your knowledge generously actively listening to understand team needs and offering targeted guidance on advanced machine learning practices and code quality. Your mentorship elevates team capability fosters continuous learning and ensures high standards in modeling.
About this role
In the Data organization at Udemy were passionate about transforming the future of education using data. Were looking for fun collaborative self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions to join our Product Analytics team.
You will design build and maintain production data systems that power Udemys most impactful machine learning products. Youll collaborate closely with data scientists product managers engineers and marketers to deliver high-quality robust data-driven solutions. This role is ideal for someone who combines strong software engineering and data science expertise with excellent communication skills and a passion for turning complex challenges into real business impact.
What youll be doing
Architect and develop intelligent scalable and maintainable solutions for key analytics services including user segmentation forecasting and dynamic pricing used across Udemys product and business teams.
Collaborate cross-functionally with product managers engineers and analysts to define requirements for ML-driven systems understand business goals and translate ambiguous needs into clear technical designs.
Lead the development and scaling of modular reusable ML components (data pipelines workflows and frameworks for evaluation monitoring and retraining) to power robust trustworthy services and ensure ongoing reliability of deployed ML systems.
Play a central role in raising the standard for code quality data hygiene reproducibility and infrastructure with respect to analytics-centric machine learning systems.
Mentor and upskill other team members on topics ranging from advanced machine learning concepts to software engineering best practices when building out analytics infrastructure.
Act as the subject matter expert on the lifecycle of ML services within Product Analytics shaping the long-term roadmap for how we leverage advanced analytics and ML to solve high-impact business problems.
What youll have
Proven expertise in architecting developing and deploying machine learning solutions (e.g. segmentation forecasting pricing) that bridge the gap between research and production ideally in a Product Analytics or platform context.
7 years of professional experience in data science or applied machine learning with demonstrated leadership in modular service-like ML system development.
Deep fluency in Python and SQL; extensive hands-on experience with ML and data engineering libraries (e.g. scikit-learn pandas PySpark MLflow Airflow).
Track record of designing pragmatic scalable architectures for ML-powered analytics services that do not require full microservice architectures.
Strong understanding of model lifecycle: from data ingestion to feature engineering model development evaluation deployment and monitoring.
Expertise in MLOps best practices including reproducibility testing CI/CD monitoring and responsible model governance.
Exceptional communication skills enabling effective collaboration with both technical partners (data scientists and engineers) and business stakeholders (PMs FP&A marketing).
Strong business judgment with the ability to understand product and business drivers relevant to analytics-based ML services.
Experience mentoring data scientists providing technical guidance and establishing shared standards in code modeling and service design.
Prior experience designing running and interpreting A/B experiments and statistical evaluations in a business environment.
Ability and motivation to operate autonomously prioritize effectively and influence others as a senior technical leader within Product Analytics.
Deep understanding of the causal inference problem.
Why work here
Youll grow here.
Learning is part of the job. Youll get full access to Udemy courses a monthly UDay to invest in yourself and a budget to spend on whatever helps you improve. Many people are diving into AI lately but what you focus on is up to you.
AI is real here.
We use it in the way we learn and the way we work. Youll have the space and tools to experiment apply and get better at using AI in practical ways.
Youll own your work.
We trust people to lead make decisions and follow through. You dont need to wait for permission or layers of approval to have an impact.
Youll build with others.
We collaborate openly and shape ideas together. Everyone has a voice and good thinking is welcomed from any direction.
Youll see your impact.
What you build helps people grow their skills change their careers or find a path forward. Youve got the experience why not use it to help others gain theirs
Bring your curiosity. Well bring the platform and the support. Lets LEARNtogether.
Our Benefits Start with U
Our benefits start with you and were built to provide you and your family with the protection and care you need making it easy to access the right coverage when you need it most. Benefits vary by region and we encourage applicants to review our Australia Benefits India Benefits Ireland Benefits Mexico BenefitsTurkiye Benefits & US Benefitspages to get an understanding of some of the benefits we offer. For details on region-specific benefits please refer to the information provided during the hiring process.
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 understand that not everyone will match each of the qualifications. However we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align wed love to hear from you!
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Required Experience:
Staff IC
Employment Type
Full-Time
