Hi
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Please find the job requirement below. Kindly share your updated resume along with your contact details if you're interested.
Role: Principal Data Scientist
Location: Glendale, CA (Onsite)- 4 days a week
Contract
Job Description:
• Develop novel AI/ML solutions to further the company’s 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
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