Description

ABOUT THE PROJECT

Our client is a large development company with its own product. It is an easy to use, massive scale, and high availability advertising platform founded by industry veterans who worked together at Google. They provide their customers with an extensible and transparent advertising system and process billions of transactions per second.
We are seeking a Data Scientist to help transform our engineering culture, to grow and develop our people, and to build the greatest tech possible.

RESPONSIBILITIES:

• Work with stakeholders and lead data scientists to develop, maintain and enhance the  attribution engine;
• Research and devise innovative statistical models for data analysis;
• Deliver attribution enhancements to production;
• Collaborate with internal and external teams and other data scientists to deliver reliable development against written specifications;
• Work closely with other engineers and data scientists in a small, informal, remote team environment;
• Ship code often in a fast-paced agile environment with continuous deployment;
• Work alongside talented engineers and PhD level data scientists;
• Maintain a data pipeline from pixel ingestion to our real-time data stream.

WHAT YOU’LL NEED TO HAVE:

• At least 5 years of working experience in a data science position, preferably working as a Senior Data Scientist;
• Production experience with Python;
• Experience working with and creating data architectures;
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.;
• Strong problem-solving skills and ability to learn/adapt to new technologies;
• Top-notch remote communication skills;
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications;
• Ability to work under pressure and iterate quickly against rapidly updating plans.

NICE TO HAVE:

• Adtech Experience;
• Specific Domain Experience in CTV;
• Experience with AWS services;
• Experience working with a customer facing reporting / analytics system in a production environment;
• Experience working with Snowflake;
• Experience with pandas/SciPy;
• Understanding of Linux and AWS technologies;
• Experience designing machine learning models for continually improving application performance.

Contact us at [email protected]