PulsePoint
Principal Data Scientist
PulsePoint, Young America, MN
Description
Function: Engineering, R&D → Data Science / Machine Learning / Operations Research
About PulsePoint:
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.
Principal Data Scientist
As a member of our Data Science Engineering team, the Principal Data Scientist 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:
Location: U.S. or EU (for EU candidates, we would expect to end days at 2-3pm EST)
Requirements:
Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R
In addition to the above, you'll need to have strong knowledge in the following areas:
And there's a lot more!
Follow us on Glassdoor to learn more about what it's like to work at PulsePoint!
Watch this video here to learn more about our culture and get a sense of what it's like to work at PulsePoint!
WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Function: Engineering, R&D → Data Science / Machine Learning / Operations Research
About PulsePoint:
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.
Principal Data Scientist
As a member of our Data Science Engineering team, the Principal Data Scientist 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:
- 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.
Location: U.S. or EU (for EU candidates, we would expect to end days at 2-3pm EST)
Requirements:
Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R
- 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.
In addition to the above, you'll need to 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.)
- 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, fitness challenges, and fun events
- A referral bonus program -- we love hiring referrals here at PulsePoint
And there's a lot more!
Follow us on Glassdoor to learn more about what it's like to work at PulsePoint!
Watch this video here to learn more about our culture and get a sense of what it's like to work at PulsePoint!
WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.