📍 ЕС, Великобритания, СШАПолная удалёнкаПомощь с переездом
Специализация
Data Science / Machine Learning
Stack
PythonNumPy/Pandas/Scikit
PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous.
As a member of our Data Science Engineering team, you will focus on optimizing real-time bidding strategies and auction mechanics to efficiently spend ad budgets and deliver against campaign targets.
In addition to the above, you will work with the greater Data Science/Engineering teams on
- Analyzing and optimizing real-time bidding strategies and online auction mechanics.
- Developing new or improving existing models of event predictions.
- User embeddings and clustering.
- Fraud detection, etc.
- Cross-device user identification, cookieless mechanism's development.
- Mining different data sources.
- Supporting existing codebase for data integration and production support for our core models.
Requirements
- 5+ years of experience in Data Science.
- Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification.
- Advanced knowledge of Python using standard DS packages (NumPy/Pandas/Scikit, etc.).
- Being able to optimize and speed-up code.
- Have strong knowledge in the following areas.
- 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.).
We offer
- Remote work. Relocation to EU/UK/US is negotiable (depends on your current location and legal status).
- Salary: 8-12k USD/month, higher figures may be negotiated.
- US holiday schedule.
- 21 days of vacation.
Петр Кузин Tech Recruiter
