About this role

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.
Collaborate with data scientists, growth engineers, data engineering, product managers, and other teams.
Ensure algorithms can be launched successfully.
Create and utilize systems to monitor and analyze the performance of deployed models.
Drive new initiatives to help the growth marketing team use machine learning.

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.
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; and Docker deployments.

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.
Tubi offers a monthly wellness reimbursement.

Data Scientist

Key skills