Overview of Position:

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 discover insights and develop algorithmic solutions that support personalization at scale.

The qualified Senior Data Scientist will hold an advanced quantitative degree with experience building recommender systems and working knowledge of matching algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.

About Varsity Tutors:

Varsity Tutors, a Nerdy Company, is the leading direct-to-consumer, curated gig economy platform for live online learning benefiting both learners and experts. We have built a comprehensive online learning destination that enables the delivery of scaled high-quality live expertise for learners of all ages across thousands of subjects and multiple learning formats through the application of technology and AI. We've raised $107M million in venture capital from TCV, Learn Capital, and the Chan Zuckerberg Initiative. We also recently announced that Nerdy, the parent company of Varsity Tutors, plans to go public via a SPAC with TPG Pace Tech Opportunities later this year, with a $1.7 billion market valuation.

Qualifications:

• M.S. or Ph.D. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).

• 5+ years of professional data science experience

• Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised). 

• Experience with building recommender systems and implementation with a breadth of matching algorithms. Plus for any one of the following: Bayesian reasoning, Natural Language Processing, classification, ranking systems.

• Previous experience with production models, i.e. post-deployment responsibility

• Relentlessly curious and strong bias for action.

• Great communication skills

• Ability to develop ML or statistical analyses software in R or Python

• Proficient in the use of data visualization software Shiny, additional experience in D3.js is a plus

Responsibilities: 

• Develop algorithmic systems to enable personalization for our learners and instructors. 

• Partner with product, marketing, operations, and engineering to identify impactful problems, and turn business goals into objective functions. 

• Design experiments to rapidly establish causal relationships. 

• Drive initiatives from conception to production with measurable impact to the business.

• Define creative services to thorny problems using mathematical algorithms

Varsity Tutors Leadership Principles

Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot

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)