Bigabid is an advertising analytics startup backed by some of the most prominent angel investors in Israel.
We use a wide range of state of the art ML techniques to analyze TBs of data and profile hundreds of millions of users through multiple proprietary data sources. Our methods help mobile advertisers from across the globe to discover new markets all over the world target and access desirable audiences
We are looking for data scientist, data hacker, an exceptional talent, who is passionate about exploring complex data sets, drawing meaningful insight from such analysis and building high quality data products.
If you A/B test your coffee making and warmly embrace any enigma – let’s do it together!
Analyze huge amounts of data to identify meaningful patterns
Coming up with new and creative research ideas and insights
Apply machine learning, data mining, and advanced statistical techniques
Build machine learning models from development through testing and validation, with considerations of production ready and low latency models
Write production grade code in python and Spark
Collaborate with product and engineering teams to solve problems and identify trends and opportunities
+2 years of relevant work experience doing quantitative data analysis and machine learning
At least BA/BSc degree in a quantitative discipline such as computer science, statistics, economics, bioinformatics, information systems etc.
Excellent understanding of machine learning techniques (classification, clustering, dimensionality reduction, etc.)
Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills preferably with Python/Scala
Experience with data manipulation and query languages such as SQL
Strong critical thinking and analytical skills
Troubleshooter, problem-solver who knows how to navigate tradeoffs
Excellent communication skills
Advantage: Experience with Spark and the AWS stack