Description
- Improving existing solutions for page contextualization or developing new techniques;
- Developing new or improving existing models of event predictions;
- New feature engineering for multiple machine learning models:
- Supply embeddings and/or segmentation, and supply quality metrics;
- Fraud detection, etc.
- Mining different data sources;
- Supporting existing codebase for data integration and production support for our core models.
- 5 years minimum of experience in data science
- Willing and able to work East Coast U.S. hours (9am-6pm EST)
- Advanced knowledge of Python using standard DS packages (numpy/pandas/scikit, etc.); Being able to optimize and speed-up code.
- 3+ years of RTB Auction or similar online technologies.
- Algorithms and Data Structures (e.g., sorting, search tree, binary heap, trie; time & mem complexities of algorithms)
- Probability and Statistics (e.g., hypothesis testing; Markov process and its stationary distributions, stochastic matrix and its properties; Bayesian inference)
- ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 regularisation, Decision trees and their ensembles, collaborative filtering, Thompson sampling / MCMC, Neural Networks, etc.)
- Comprehensive healthcare with medical, dental, and vision options, and 100%-paid life & disability insurance
- 401(k) Match
- Generous paid vacation and sick time
- Paid parental leave & adoption assistance
- Annual tuition assistance
- Better Yourself Wellness program
- Commuter benefits and commuting subsidy
- Group volunteer opportunities and fun events
- A referral bonus program -- we love hiring referrals here at PulsePoint
0 applies
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