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