Research, design, and build high-impact end-to-end machine learning systems for customer growth; Partner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutions; Lead data science analyses on ML models for explainability and business fit; Promote and role-model best practices of data science, engineering, and communication throughout the organization; Evangelize ML adoption and innovation across the product and engineering teams
Requirements:
M.S or B.S.in a Computer Science/Statistics/Data Science/Quant or related field; 5+ years of building data science products; Strong proficiency with Databricks, Pyspark, Pandas, Scikit-Learn, Numpy, statsmodels, xgboost, etc; Familiarity with data science tools for visualization and analysis including but not limited to Matplotlib, Seaborn, Databricks, Looker, Snowflake
Text:
Senior Data Scientist Research, design, and build high-impact end-to-end machine learning systems for customer growth; Partner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutions; Lead data science analyses on ML models for explainability and business fit; Promote and role-model best practices of data science, engineering, and communication throughout the organization; Evangelize ML adoption and innovation across the product and engineering teams M.S or B.S.in a Computer Science/Statistics/Data Science/Quant or related field; 5+ years of building data science products; Strong proficiency with Databricks, Pyspark, Pandas, Scikit-Learn, Numpy, statsmodels, xgboost, etc; Familiarity with data science tools for visualization and analysis including but not limited to Matplotlib, Seaborn, Databricks, Looker, Snowflake
Please click here, if the job didn't load correctly.
Please wait. You are being redirected to the job in 3 seconds.
