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Senior Data Scientist

  • Job type: Permanent
  • Location: Los Angeles
  • Salary: $200000 - $250000 per annum
  • Job reference: TRRS Senior DS
  • Sector: BI & Big Data, Glocomms
  • Date posted: 08/02/2018
Senior Data Scientist
Leading Engagement Advertising Platform
Los Angeles, California
Circa $200,000 - $250,000 + Equity & Benefits
(Unlimited Vacation, Health & Dental Insurance, Remote Work, Gym Membership, Free Lunches)

A Leading Engagement Advertising Platform in the Los Angeles area is seeking a Senior Data Science to join their team and help grow out the Data Science division. This Ad-Tech frim is building machine learning and statistical models to address business needs such a campaign optimization, inventory forecasting, and risk analysis with a vast amount of clients, some examples include Amazon, Airbnb, Tesla, Facebook, and Walmart. They believe the most powerful models can only be built from the most predictive features, and they let the data do the talking.

Job Summary:
  • Build machine learning and statistical models to address business needs such a campaign optimization, inventory forecasting, and risk analysis. Boosting trees, neural networks, or support vector machines, scikit-learn, spark MLlib, tensorflow or H2O: We're open to solving problems in many different ways.
  • Perform data mining and feature engineering. We believe the most powerful models can only be built from the most predictive features, and we let the data do the talking.
    • Given the massive volume of data from our proprietary platform and other data providers, you are able to dig into the numbers and develop truly data-driven features.
  • Work with Engineering, Data Engineering, and Product teams to present current finding, gather feedback, and iterate.
  • Actively search for and identify useful new datasets for potential integration

Necessary Skills:
  • Ph.D. (preferred) or MS in either Computer Science or Engineering
  • Strong knowledge of Python or Scala required
  • Experience with linear and logistic regression, random forests, and/or other machine learning algorithms
  • Experience in data processing and building production models
  • Experience with one or more of the following: Reinforced Learning, Pattern Recognition, or Gradient Boosting
  • Strong knowledge SQL or alike preferred

Bonus: Experience with AWS services and tools

The world of Technology continues to grow and this role offers a huge opportunity to join a growing group within an established firm. Resumes are being considered on a first come first serve basis, and interviews are already being conducted. If you are interested in this role, please do send your details to or call 646-647-3948 immediately, as this role is extremely active.

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