Varsity Tutors
Other Open Roles
Prior Listings
- Data Scientist
- Data Scientist
- Senior Data Engineer - Data Warehouse
- Data Engineer
- Senior Data Engineer - Data Pipeline
- Director of Data Science and Analytics
- Data Engineer
- Senior Data Scientist
- Data Scientist
- Senior Data Analyst
- Performance Marketing Analyst
- Head of Operations Analytics
- Sales Operations Analyst
- Data Scientist
- Senior Data Scientist
- Head of Operations Analytics
- Director of Sales Operations & Analytics
- Data Scientist
- Principal Data Scientist
- Senior Data Analyst
Data Scientist
Data Scientist
Overview of Position
Varsity Tutors believes access to quality education is critical for everyone to achieve their goals. Leveraging AI and professional educators Varsity Tutors makes quality, personalized education accessible wherever and whenever you need. To date, students have accessed more than three million hours of live instruction on the platform. Experts are available to meet in person or through the company’s award-winning online and mobile platforms. Our vision is to seamlessly connect experts and learners in any subject, anywhere, anytime.
We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the Data Science team at Varsity Tutors. This team partners with product and engineering to enable real-time decisions, forecasting, resource optimization, and other applied solutions.
The qualified candidate will hold an advanced quantitative degree with applied experience in achieving business results through mathematical analysis. The candidate is also expected to be comfortable developing dynamic prototypes that can be productized by engineering to develop production systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems across a variety of domains at scale and with speed.
About Varsity Tutors
Varsity Tutors is revolutionizing how people learn with personalized instruction. We offer a full suite of learning formats, including 1:1 personalized instruction, live classes in small and large formats, and self study. Our award-winning online and mobile learning platforms connect students and professionals from all around the world with personalized instruction. To date, Varsity Tutors has raised $107M in venture funding. The most recent round was a $50M Series C in 2018 led by Learn Capital, with participation from The Chan Zuckerberg Initiative and existing investor TCV. Come join our growing team!
Qualification:
- Develop machine learning models for classification, segmentation, multivariate regression, etc, to develop data products for forecasting market level dynamics, optimizing operational flows, and encoding a broad knowledge base across hundreds of subject domains.
- Design experiments and prototype simple or complex algorithms and partner with product, operations and engineering to implement in production.
- Develop methods to help users understand and use predictive models.
Requirements:
- Strong quantitative background; M.S. or Ph.D. degree preferred.
- Experience with one or more of the following: Bayesian reasoning, Natural Language Processing, speech processing, computer vision, classification, ranking systems, recommendation systems, linear or constraint optimization.
- Solid data engineering skills.
- Experience with machine learning software packages ( e.g. PyTorch or TensorFlow, scikit-learn, etc. (INDHP)
Benefits/Culture:
- Healthcare Plans (Medical, Dental, Vision, Life)
- 401k Company Plan
- Remote Position, fully work from home (or wherever you like!)
- Flexible PTO plus a floating holiday
- Paid VTO ("volunteer time off" to do community service/charity work)
- 52 hours of Free Learning Sessions per year for you or immediate families members and free access to our Virtual School Day classes and School@Home program
- Once in a lifetime opportunity to help revolutionize how the world learns!
- Fun, collaborative, and team-oriented work environment with plenty of training and a feedback rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)