The Role
Develop and optimize real-time bidding strategies, online auction mechanics, and machine learning models for advertising campaigns. Responsibilities include event prediction, feature engineering, user embeddings, clustering, fraud detection, cross-device identification, data mining, and production support. The role requires advanced Python, strong algorithms and statistics knowledge, machine learning expertise, and substantial RTB or comparable online technology experience.
Summary Generated by Built In
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.
Sr. Machine Learning Engineer, AdTech
As a member of our Data Science Engineering team, the Sr. Machine Learning Engineer, AdTech 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;
- New feature engineering for multiple machine learning models:
- User embeddings and clustering; fraud detection, etc.
- Cross-device user identification, cookieless mechanisms development;
- Mining different data sources;
- Supporting existing codebase for data integration and production support for our core models.
Location: anywhere in the world (End days at around 2pm ET)
- India, Netherlands, UK: we can hire as FTE
- Other countries: we can hire as long-term contractor
Requirements:
5 years minimum of experience in machine learning/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 (around 4-5 hours total)
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.
Skills Required
- At least 5 years of experience in machine learning or data science
- At least 3 years of experience with real-time bidding auctions or similar online technologies
- Advanced Python skills using standard data science packages such as NumPy, pandas, and scikit-learn
- Ability to optimize and speed up code
- Strong knowledge of algorithms and data structures, including computational complexity
- Strong knowledge of probability and statistics, including hypothesis testing, Markov processes, and Bayesian inference
- Strong machine learning and data science knowledge, including dimensionality reduction, regularization, decision trees, collaborative filtering, sampling, and neural networks
- Knowledge of Python, algorithms, optimization, NLP, data mining, statistical analysis, neural networks, generalized linear regression, multiclass classification, Java, and R
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The Company
What We Do
Our Company: WebMD is a leading provider of health information services to consumers, physicians, healthcare professionals, employers and health plans. Our Business: WebMD is the leading provider of health information and services to consumers and healthcare professionals. The online healthcare information, decision-support applications and communications services that we provide: help consumers take an active role in managing their health by providing objective healthcare information and lifestyle information. make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers. enable employers and health plans to provide their employees and plan members with access to personalized heath and benefit information and decision support technology that helps them make informed benefit, provider and treatment choices.
