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Pixalate is looking for a Data Scientist who can provide technical support for the existing products and help to resolve client tickets.
We are looking for a Data Scientist to join Team Pixalate in our London office! 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 and develop algorithms that can be used to solve tough business problems that span the area of fraud detection/prevention and advertising data analytics. Our mission is to help improve the traffic quality in the advertising ecosystem by developing innovative solutions, and analyzing vast amounts of data is a mandatory step towards this direction.
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 the midst of 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 omnichannel fraud protection solutions that are focused on actually reducing fraud, not just measuring it, and our explosive growth over the last quarters reflect that!
What you'll do:
Work with other data scientists, data analysts, product managers, and engineers, and apply your expertise in quantitative data analysis to create innovative solutions.
Provide technical support for the existing products and help to resolve client tickets.
Discover new types of fraud and develop algorithms for early detection and prevention.
Create visualizations and effectively communicate your research insights to the product management and marketing teams.
Create scripts to automate reports for recurring requests.
Create and test statistical hypotheses.
Support data-driven decision making.
BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields.
2-3 years of professional experience in data science, or other domain-relevant internships.
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 (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.
MS or Ph.D. degree in Computer Science, Electrical Engineering, Math, Statistics, or another quantitative field.
Excellent verbal and written communication skills, with high attention to detail.
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.
Ability to communicate the results of analyses in a clear and effective manner to a senior audience
Concrete understanding of Internet protocols and Computer Networking fundamentals.
Experience assessing risk and detect anomalies in large datasets.
Experience with Amazon AWS, and UNIX CLI.
Experience programming in Scala, Java, and/or C/C++ is a plus.
Our products provide benchmarks, analytics, research and threat intelligence solutions to the global media industry. We make this happen by processing over 10PB (yes, that's 10,000 terabytes) of data and trillions data points a day across desktop, mobile, tablets, connected-tv that are generated using Machine Learning and Artificial Intelligence based models.
We are the World's #1 decision making platform for Digital Advertising. And don't just take our word for it -- Forrester Research consistently depends on our monthly indexes to make industry predictions.