Staff Data Scientist

About us

At Udemy, we’re on a mission to transform lives through learning. Through our intelligent skills platform and a global community of instructors, we’ve helped over 70 million learners and 16,000 organizations achieve their goals. Come join us in ensuring everyone, everywhere has access to the skills they need to unlock their potential and create possibilities for themselves and others.

About you 

You’re an analytical problem-solver ready to put your skills toward purposeful work that has a global impact. You want to lead the way in innovation, exploring the latest technologies and finding new solutions. You thrive in a collaborative environment and are eager to work with and learn alongside the best in Product, Design, and Engineering.

About this role 

Udemy is looking for a data scientist to join a team focused on leveraging deep learning to build user-facing learning experiences and to drive more effective personalization for Content Recommendations and Marketing use cases. You will work as part of a cross-functional agile team that includes data scientists, machine learning engineers, software engineers, designers, and product managers.

What you'll be doing

• Develop machine learning models at scale from inception to business impact
• Adapt standard machine learning methods to solve business problems
• Design and analyze randomized controlled experiments
• As needed, develop robust feature and inference pipelines, and write production code
• Identify significant new opportunities for data science and product roadmaps, and influence roadmap prioritization
• Apply specialized domain knowledge to identify opportunities and influence prioritization of improvements to existing model architectures, methods and approaches
• Design and partner with ML Engineers to build systems and services to understand deep learning application performance and perform root cause analysis
• Provide hands-on technical guidance and mentorship for team members
• Autonomously lead planning and execution for complex problem spaces and major cross-team initiatives
• Work directly with partner teams and stakeholders to own projects which address related problems, and help set technical direction for projects owned by others
• Work autonomously, relentlessly prioritize, and collaborate with team members across time zones
• Advocate for technical quality and engineering best practices

What you’ll have

• 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD)
• 4+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field
• Proficiency with 1+ programming language(s) (e.g. Python)
• Ability to communicate effectively with both technical and non-technical stakeholders

We understand that not everyone will match each of the above 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, we'd love to hear from you!

Life at Udemy

We aspire to be as vibrant and dynamic as the communities we serve, as inquisitive as those who use our platform, and as revolutionary as the future we strive to open for everyone. Here are some of the things we love about life at Udemy:

• We’re invested in creating an inclusive environment that welcomes a diverse range of backgrounds and experiences. From creating employee resource groups, ensuring we’re a Fair Pay Workplace, and building a flexible work culture, our belonging, equity, diversity, and inclusion (BEDI) initiatives always put our people first. We want you to be able to bring your authentic self to work because when we all do, we’re better for it.

• Learning is what we do – inside and out. Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression. You’ll also have unlimited access to Udemy courses, monthly UDays (meeting-free professional development days), and a generous annual professional development stipend.

• Our reason to exist is to revolutionize learning – that calls for taking risks and learning from failures. Whether it’s our hackathons (a company-wide effort to envision new possibilities for our product) or sharing our prototypes, we see experimentation as a crucial step on the path to success.

• We’re committed to creating world-class employee experiences and are proud of the recognition of this by Great Place to Work. 

Of course, the best thing about being part of Udemy is knowing your work makes a difference for people and or