What are the responsibilities and job description for the Sr. Data Scientist, AdTech (U.S.) position at PulsePoint?
Function: Engineering, R&D → Data Science / Machine Learning / Operations Research
About the Company:
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.
Sr. Data Scientist, AdTech
This is a visionary leadership role on our Data Science Engineering team, where the Sr. 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 1-2pm EST)
Requirements:
- 5 years minimum of experience in data science
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.)
WHAT WE'LL GIVE TO YOU:
- 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!
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