About this opportunity
5 Star Recruitment lists this Principal Data Scientist opportunity in glendale, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
What You'll Do As a Principal Data Scientist:
Develop novel AI/ML solutions to further the companys mission of creating innovative and engaging content
Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry
Design, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges.
Identify trends, patterns, and insights from large datasets to inform decision-making.
Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results
Think creatively to solve complex problems
Monitor and maintain the performance of ML models
Research and stay up-to-date on the latest AI/ML trends and technologies
Provide technical guidance and mentorship to other engineers
Collaborate with data engineering teams to ensure the quality and accessibility of data
Communicate insights and best practices in leadership
Qualifications:
You could be a great fit if you have:
10+ years of experience in data science, with a proven track record of leading and delivering successful projects
Proficiency in programming languages such as Python, R, or Scala
Expert-level experience working with scikit-learn, numpy, and pandas and other ML libraries.
Solid understanding of ML technologies, models, mathematics and statistical methods
Experience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus
Required Citizenship / Work Permit / Visa Status
Candidates must work W2, no Corp 2 Corp. US Citizen, Green Card Holder, H4-EAD, TN-Visa
Must haves:
10 years in Data Science
General computing (Python, R, Scala)
Solid understanding of Machine Learning Technologies
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Worksite address
glendale, CA, 91222, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.