
Data Scientist
Há 5 dias
**About Nerdy**:
**Qualifications**:
- Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
- 3+ years of professional data science experience
- Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
- Previous experience with production models, i.e. post-deployment responsibility
- Ability to develop ML or statistical analyses software in R or Python
- Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
- Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
- Relentlessly curious and strong bias for action.
- Fluent in English
**Responsibilities**:
- Develop algorithmic systems to enable personalization for our consultative sales organization.
- Partner with 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**:
- Competitive Pay (USD)
- Fully Remote Position
- Work for a leading learning technology company
- A once-in-a-lifetime opportunity to help transform how the world learns
- A 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)_
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