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Principal Data Scientist

12 month+ contract

Los Angeles: Onsite Monday-Thursday

Must haves:

10 years in Data Science

General computing (Python, R, Scala)

Solid understanding of Machine Learning Technologies

Basic Qualifications

MS/Ph.D. in quantitative discipline10+ years of experience in data science, with a proven track record of leading and delivering successful projectsProficiency in programming languages such as Python, R, or ScalaExpert-level experience working with scikit-learn, numpy, and pandas and other ML libraries.Solid understanding of ML technologies, models, mathematics and statistical methodsExperience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus

Required Education College Degree in related fields listed

Preferred Education Master's or Ph.D. degree preferred in Statistics

Additional Information

Seeking a highly skilled and innovative full-Stack Principal Data Scientist to lead our data science initiatives and drive impactful insights. As a Principal Data Scientist, you will play a crucial role in leveraging data to enhance decision-making, optimize processes, and uncover opportunities for growth. You will collaborate with cross-functional teams to develop and implement data-driven strategies that align with our mission.

To be successful in this role, you should have a strong background in Machine Learning and experience with AI technologies. Our ideal candidate will have a passion for developing cutting-edge technology and the ability to think creatively to solve complex problems

Develop novel AI/ML solutions to further the company's mission of creating innovative and engaging contentArchitect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetryDesign, 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 resultsThink creatively to solve complex problemsMonitor and maintain the performance of ML modelsResearch and stay up-to-date on the latest AI/ML trends and technologiesProvide technical guidance and mentorship to other engineersCollaborate with data engineering teams to ensure the quality and accessibility of dataCommunicate insights and best practices in leadership LAXTT-PDS-JGC_1754420259 To Apply for this Job Click Here