Factspan
Overview
Location : Glendale, CA — on-site 4 days per week Responsibilities
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 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. Basic qualifications
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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Location : Glendale, CA — on-site 4 days per week Responsibilities
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 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. Basic qualifications
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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr