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Data Scientist

Location Santa Monica, United States
Posted 14-September-2021
Description

Our healthcare marketplace client is seeking a Data Scientist to join their growing Data Science team. This individual will have a deep understanding of statistical modeling, a solid mathematical foundation, and strong communication skills. As a Data Scientist, this person will be working on projects across product and marketing in areas such as customer retention, engagement, recommendation systems, and pricing. Responsibilities/duties will include:

Implement concepts of experimental design and statistical analysis

Building modeling solutions around pricing, growth, and marketing

Use Python and SQL to analyze experimental data sets in order to understand results and address questions from stakeholders

Partner with Product teams to gather, manipulate, analyze and document raw, complex data and share cohesive data stories that make sense to business and technical audiences

Build state-of-the-art forecasting, prediction, and recommendation systems that generate insights around user behavior, product utilization, and audience segmentation

Building models in new notebooks

Productionization modeling

Algorithms: Tree & forest models for gradient boosting

Optimizing for SPEED


Machine learning experience

Spark/EMR experience

Masters degree in a quantitative field; advanced degree with relevance to data science, machine learning, or operations research preferred
3+ years of professional experience within a Data Analytics or Data Scientist role

Experience writing and executing SQL or Python from scratch (or another data science programming language) for data manipulation, visualization, analysis

Enterprise experience with RedShift/BigQuery, Spark, and AWS (Redshift, Athena, S3, Lambdas)

Strong first principles understanding of common machine learning algorithms (eg, clustering, tree/forest techniques, OLS, linear/non-linear optimization, etc.)

Experience communicating with stakeholders and working cross-functionally across different organizations

Bachelors degree (CS/Statistics/Math or related fiend preferred)

 
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Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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