Data Scientist (Remote, International)

at  PulsePoint

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.

REQUIREMENTS:

3 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.)

Selection Process:
1) Initial Screening Call (30 mins)
2) Technical Pre-Screening Call with Principal Data Scientist (60 mins)
4) Team Interview (three 30-minute-long sessions + three 60-minute-long sessions)
5) WebMD/IB Sr. Tech Leader (30 mins)
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

Please refer the Job description for details