Principal Data Scientist

Data Science & Analytics Newark, New Jersey


Description

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.

As a member of our Data Science Engineering team, the Principal Data Scientist will focus on the following:
  • Optimizing real-time bidding strategies and auction mechanics to efficiently spend ad budgets and deliver against campaign targets;  In addition to the above, they will work with the greater Data Science/Engineering teams on:
  • Improving existing or developing new traffic segmentation algorithms and estimations of bid landscapes within each segment;
  • Supporting and enhancing the existing work on health user profiling, prediction, and targeting tools;
  • Contributing on projects relating to patient/physician identity for cross-device tracking, profiling and targeting;
  • Supporting existing codebase for data integration and production support for our core models.
  • Improving page contextualizer technology: work with healthcare topics detection algorithms, keywords/phrases extraction, general and aspect-based sentiment analysis.
Requirements:

These are the things that we'll be looking for from a candidate:

  • Exposure to RTB Auction or similar experience; (Note--Please provide detail on this important requirement in your cover letter).
  • Advanced knowledge of Python using numpy & pandas;
  • Being able to optimize and speed up code.
  • Past experience managing a team

In addition to the above, you'll need to have strong knowledge in the following areas (along with a breakdown of the areas we'd like for you to have exposure with) :

  • Algorithms and Data Structures--Sorting, search tree, binary heap, trie; Time & mem complexity of algorithms.
  • Probability & Statistics-Markov processes and its stationary distributions; Stochastic matrix and properties of its eigenvalues; Bayesian inference and conjugate distributions; Two-sample hypothesis testing.
  • ML & DS--Dimensionality reduction; Geometry of PCA and SVD; Geometry of L1 and L2 regularisation (Why does L1 result in feature selection?); Decision Trees; Collaborative filtering; Thompson sampling; MCMC; Boosting, (Biases in Boosted DT); Bagging
  • Neural Networks--Embeddings; Encoders; Drop-out; CNN, RNN; Internal covariate shift.
Benefits:
  • 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
  • Group volunteer opportunities and fun events
  • A referral bonus program -- we love hiring referrals here at PulsePoint

And there’s a lot more!

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