Data Scientist

TubiSan Francisco, CA
$223,260 - $245,586Remote

About The Position

Build machine learning algorithms and data pipelines, deploy models to production, and test models online and offline in A/B test environments. Conduct thorough testing of models in live environments using A/B testing methodologies to validate performance and iterate on improvements. Collaborate with data scientists, growth engineers, data engineering, product managers, and other teams to ensure algorithms can be launched successfully. Deploy machine learning models into production ensuring reliability, scalability, and maintainability. Create and utilize systems to monitor and analyze the performance of deployed models, identifying opportunities for optimization and enhancement. Drive new initiatives to help the growth marketing team use machine learning to optimize different applications including email campaigns, push notifications, user acquisition strategies, and personalized recommendations. Telecommuting permitted pursuant to company policy.

Requirements

  • Bachelor’s degree or foreign equivalent in Data Science, Physics, or related quantitative field.
  • Three (3) years of experience in the job offered or related occupation.
  • Must have experience with the following: Common tools for building and deploying machine learning model and applications: Python, Java, NumPy, Pandas, Scala/Spark, XGBoost, sklearn, TensorFlow, MLflow.
  • Writing production-quality code, incorporating testing, evaluation, and monitoring
  • ETL with AWS Glue and AWS Cloud Watch monitoring
  • Docker deployments

Responsibilities

  • Build machine learning algorithms and data pipelines
  • Deploy models to production
  • Test models online and offline in A/B test environments
  • Conduct thorough testing of models in live environments using A/B testing methodologies to validate performance and iterate on improvements
  • Collaborate with data scientists, growth engineers, data engineering, product managers, and other teams to ensure algorithms can be launched successfully
  • Deploy machine learning models into production ensuring reliability, scalability, and maintainability
  • Create and utilize systems to monitor and analyze the performance of deployed models, identifying opportunities for optimization and enhancement
  • Drive new initiatives to help the growth marketing team use machine learning to optimize different applications including email campaigns, push notifications, user acquisition strategies, and personalized recommendations

Benefits

  • Tubi offers a Flexible Time off Policy to manage all personal matters.
  • Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
  • Tubi offers a monthly wellness reimbursement.
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