Data Scientist Engineer

 

FT Optimize is looking for an experienced data scientist to lead improvements in a proprietary customized bidding algorithmic system and build out a real time machine learning pipeline. The FTO stack utilizes Python, Ruby and many Amazon Web Services.  This person will participate in the improvement of the keyword algo bidding software after hearing client roadmaps and wish lists and seeing results

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FT Optimize


FT Optimize was founded in 2016 as a way to offer companies custom SEM keyword bidding technology.  Most agencies use a one-size-fits-all approach while FT Optimize develops right-size solutions for businesses. FT Optimize is a modern technology-driven SEM agency, partnering with clients and handling every aspect of SEM, from planning and forecasting to implementation and running the campaigns.  With its initial success stories, clients started asking FTO to also customize software and machine learning tools for Retargeting, Social Media, Product Ads, Video Marketing, etc. FTO is driving this machine learning revolution and bringing it to several keynote clients.

 

THE ROLE: Data Scientist Engineer

 

Work in fast paced operational environment, servicing clients with customized software that will deliver superior results

  • Apply statistics, modeling, and ML to improve the efficiency of systems and relevance algorithms across Ads

  • Participate in the improvement of the keyword algo bidding software after hearing client roadmaps and wish lists and seeing results

  • Support all engineering efforts to deliver the essential code on time and error free, in a fast-moving environment

  • Perform deep dive analysis to understand and optimize the key levers of our ads and search ecosystems

  • Collaborate with teams on client implementation

  • Work with product managers and engineers to design data products and debug A/B experiments

  • Collaborate with the backend engineering team to execute solutions within our production environment



 

Required Experience:

 

Strong working knowledge of statistical and data mining algorithms including classifiers, clustering algorithms and anomaly detection techniques. Familiarity with database modeling and data warehousing principles and SQL. 5+ years of work experience applying scientific methods to solve-real-world problems on web scale data. Expertise in at least one scripting language, preferably Python. Experience with AWS services of Redshift, S3, and amazon stack in general is nice to have. They must have machine learning experience and general service oriented architecture. Previous experience in SEM nice to have but not required.


 

Bachelor’s Degree preferred, but will consider relevant experience as well.

 

Perks:

Opportunity to get in on ground floor at exciting digital company

Great office location in Half Moon Bay near beach, in fun, downtown shopping area

5 weeks of vacation after one year of service

Position is flexible as long as the work gets done - telecommuting ok but office presence will be needed as well

Competitive Salary, Stock Options, and Medical/ Dental Coverage