Principal Data Scientist

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:
• MS/Ph.D. in quantitative discipline
• 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