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This hybrid position requires two days per week in our San Francisco office.
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.
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.
Are you passionate about learning, willing to take technical challenges, care about making an impact, and looking for a diverse, collaborative, and fun environment that also values quality? If so, come help us improve lives through learning at Udemy!
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!
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 organizations around the world. You’ve got the skills; why not use them to help others develop theirs?
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.
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 coverage
HSA/FSA/Commuter: Pre-tax savings/spending plans, including HSA employer contributions
Transgender Benefits: Expanded medical coverage for gender-affirming care
Parental 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 pay
Whole 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 support
Learning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional development
Retirement: Pre-tax and Roth 401(k) plan with an employer contribution
Charitable Giving: Corporate charitable match for eligible nonprofits and charities
Vacation: Flexible vacation for salaried Udemates and fifteen days per year for hourly
Holidays: Twelve paid holidays throughout the year
Information regarding data privacy is available within the Udemy Careers Privacy Notice. #LI-SB4
Full Time
$134k-166k (estimate)
03/15/2024
04/04/2024
The job skills required for Senior Data Scientist include Data Science, Machine Learning, Python, Futures, Innovation, Deep Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Scientist job description and responsibilities
Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
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Collating and cleaning data from various entities for later use by junior data scientists.
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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Scientist jobs
Present final result to stakeholders. Make adjustments based on feedback.
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Learn the required skills to become a data scientist.
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Review additional data scientist certifications and post-graduate learning.
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Ask the right questions to begin the discovery process.
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Choose one or more potential models and algorithms.
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Step 3: View the best colleges and universities for Senior Data Scientist.