Principal Data Scientist

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  • Glendale, CA
  • Permanent
  • Full-time
  • 10 days ago
  • Apply easily
HiHope you're doing Good!!Please find the job requirement below. Kindly share your updated resume along with your contact details if you're interested.Role: Principal Data ScientistLocation: Glendale, CA (Onsite)- 4 days a weekContractJob 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
RequirementsQualifications: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

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