Principal Data Scientist

Company:
Location: Remote

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This is a Senior role, Applications for Internships will not be considered.

About the Company


Pixalate is a cross-platform digital advertising fraud intelligence company, offering the only system of coordinated invalid traffic (“IVT”) detection solutions across desktop, mobile web, mobile in-app, and OTT/CTV for better detection, diagnosis, and elimination of ad fraud.
We are under midst one of the biggest shifts in ad tech right now with overwhelming industry demand for greater transparency and protection against ad fraud. Concurrently, media spends are steadily shifting more towards newer channels like OTT/CTV which are poised to explode, yet present difficult challenges around measurement and fraud protection. Pixalate is uniquely positioned to capitalize on these industry trends by being the first fraud protection provider to offer MRC accredited omni-channel fraud protection solutions that are focused on actually reducing fraud, not just detecting it.


Position:

We are looking for a Principal Data Scientist to join Team Pixalate! You will be working closely with the data science team, as well as big data engineers, product managers, and marketers to analyze large amounts of data, develop algorithms, and state of the art ML models to fuel our fraud detection/prevention product. Our mission is to help improve the traffic quality in the advertising ecosystem by developing innovative solutions, and analyzing vast amounts of data.


What you'll do:

  • Work with other data scientists, data analysts, product managers and engineers, and apply your expertise in quantitative data analysis to detect and prevent threats
  • Provide technical support and perform detailed forensic investigations in order to respond to complex threats
  • Discover new types of fraud and develop algorithms for early detection and prevention
  • Create visualizations, document methodology and effectively communicate your research insights to the product management and marketing teams
  • Work on models for our innovative and world class crawler to verify and validate the legitimacy of the sources of traffic across connected tv, mobile apps and website
  • Create scripts to automate reports for recurring requests
  • Create and test statistical hypotheses
  • Support data-driven decision making


Minimum qualifications:

  • BS or MS in Computer Science, Data Science, Electrical Engineering, Math, Physics, or other quantitative field
  • 4+ years of professional experience in data science solving complex problems
  • Ability to solve complex problems with minimum supervision
  • Critical thinking ability and ability to generate intuitive conclusions from complex datasets.
  • Excellent verbal and written communication skills, with high attention to detail
  • Fluency in SQL and ability to write complex queries to extract large amounts of data.
  • Fluency in Python (experience with R is a plus)
  • Concrete understanding of machine learning algorithms (NLP, clustering, regression, and classification) and basic probability and statistics
  • Experience with deep learning and natural language processing algorithms
  • Experience with data science tools and frameworks such as scikit-learn, Keras, Tensorflow, H2O, Numpy, Pandas, Jupyter, etc
  • Familiarity with online advertising and advertising fraud


Preferred qualifications:

  • MS or PhD degree in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative field
  • A team player who can collaborate with engineers, product managers, and other cross-functional teams
  • Ability to initiate and drive projects to completion with minimal guidance.
  • Demonstrable ability to quickly understand new concepts
  • Fullstack knowledge of the data science processes and frameworks
  • Ability to communicate the results of analyses in a clear and effective manner to a principal audience
  • Concrete understanding of the Internet protocols and Computer Networking fundamentals
  • Experience assessing risk and detecting anomalies in large datasets
  • Experience with Amazon AWS, and UNIX CLI
  • Experience programming in Scala, Java, and/or C/C++ is a plus.

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