Udemy
Mid-Level Data Scientist
Udemy, San Francisco, California, United States, 94199
About Us
At Udemy, we’re on a mission to improve lives through the power of learning. We’re a leading global learning company and one of the world’s largest education platforms, with more than 59 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals.
Talented people are everywhere, and the right opportunity 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 making learning more accessible for our learners, our instructors, and businesses around the world.
Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Dublin, and Melbourne.
This hybrid position requires two days per week in our San Francisco office.
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 largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience. In this role, you will build products that leverage deep learning and large language models (e.g., GPT). 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 impactWith minimal input from cross-functional partners and manager, adapt standard machine learning methods to solve business problemsIndependently design and analyze randomized controlled experimentsAs needed, independently develop robust feature and inference pipelines, and write production codePartner with ML Engineers to troubleshoot and optimize complex machine learning and deep learning applicationsDesign and partner with ML Engineers to build systems and services to understand deep learning application performance and perform root cause analysis
What you’ll have:
1+ years of hands-on Data Science or ML Engineering experience OR a PhD1+ 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 fieldProficiency 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.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.
Our Benefits Start With U
Our benefits package at Udemy “starts with U” and is grounded in mission-driven benefits that intentionally align with our core values. Here’s a sneak peek at just a few highlighted benefits if you’re a full-time Udemate based in the United States:
Core Benefits: Comprehensive medical, dental, vision, life/AD&D, and disability coverageHSA/FSA/Commuter: Pre-tax savings/spending plans, including HSA employer contributionsTransgender Benefits: Expanded medical coverage for gender-affirming careParental Benefits: Financial assistance for fertility (including egg-freezing), adoption, and surrogacy expenses; twelve weeks of paid family bonding for birth, surrogacy, adoption, and foster placement (plus up to six to ten weeks of paid disability leave for birthing parents) as well as a two-week “ease-back” program that enables parents to return part-time at full payWhole U: Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, fertility and family building, maternity and newborn care, parenting and pediatrics, menopause care, breastmilk shipping, and caregiving supportLearning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional developmentRetirement: Pre-tax and Roth 401(k) plan with an employer contributionCharitable Giving: Corporate charitable match for eligible nonprofits and charitiesVacation: Flexible vacation for salaried Udemates and fifteen days per year for hourlyHolidays: Twelve paid holidays throughout the year
Hiring Compensation Range
$124,000—$170,000 USD
#J-18808-Ljbffr
At Udemy, we’re on a mission to improve lives through the power of learning. We’re a leading global learning company and one of the world’s largest education platforms, with more than 59 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals.
Talented people are everywhere, and the right opportunity 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 making learning more accessible for our learners, our instructors, and businesses around the world.
Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Dublin, and Melbourne.
This hybrid position requires two days per week in our San Francisco office.
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 largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience. In this role, you will build products that leverage deep learning and large language models (e.g., GPT). 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 impactWith minimal input from cross-functional partners and manager, adapt standard machine learning methods to solve business problemsIndependently design and analyze randomized controlled experimentsAs needed, independently develop robust feature and inference pipelines, and write production codePartner with ML Engineers to troubleshoot and optimize complex machine learning and deep learning applicationsDesign and partner with ML Engineers to build systems and services to understand deep learning application performance and perform root cause analysis
What you’ll have:
1+ years of hands-on Data Science or ML Engineering experience OR a PhD1+ 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 fieldProficiency 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.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.
Our Benefits Start With U
Our benefits package at Udemy “starts with U” and is grounded in mission-driven benefits that intentionally align with our core values. Here’s a sneak peek at just a few highlighted benefits if you’re a full-time Udemate based in the United States:
Core Benefits: Comprehensive medical, dental, vision, life/AD&D, and disability coverageHSA/FSA/Commuter: Pre-tax savings/spending plans, including HSA employer contributionsTransgender Benefits: Expanded medical coverage for gender-affirming careParental Benefits: Financial assistance for fertility (including egg-freezing), adoption, and surrogacy expenses; twelve weeks of paid family bonding for birth, surrogacy, adoption, and foster placement (plus up to six to ten weeks of paid disability leave for birthing parents) as well as a two-week “ease-back” program that enables parents to return part-time at full payWhole U: Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, fertility and family building, maternity and newborn care, parenting and pediatrics, menopause care, breastmilk shipping, and caregiving supportLearning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional developmentRetirement: Pre-tax and Roth 401(k) plan with an employer contributionCharitable Giving: Corporate charitable match for eligible nonprofits and charitiesVacation: Flexible vacation for salaried Udemates and fifteen days per year for hourlyHolidays: Twelve paid holidays throughout the year
Hiring Compensation Range
$124,000—$170,000 USD
#J-18808-Ljbffr