Senior Data Scientist
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In the Senior Data Scientist role, you will have full ownership over the projects you tackle, contribute to solving a wide range of machine learning applications, and find opportunities where data can improve our platform and company. We are looking for an experienced and creative self-starter who executes well and can exhibit exceptional technical know-how and strong business sense to join our team. 


  • Mine and analyze data from company data stores to drive optimization and improvement of product development, marketing techniques and business strategies

  • Assess the effectiveness and accuracy of data sources and data gathering techniques

  • Develop and implement data cleansing and processing to evaluate and optimize data quality

  • Develop custom data models and algorithms to apply to data sets

  • Run complex SQL queries and existing automations to correlate disparate data to identify questions and pull critical information

  • Apply statistical analysis and machine learning to uncover new insights and predictive models for our clients

  • Develop company A/B testing framework and test model quality

  • Collaborate with data engineering and ETL teams to deploy models / algorithms in production environment for operations use

  • Develop processes and tools to monitor and analyze model performance and data accuracy

  • Ad-hoc analysis and present results in a clear manner

  • Create visualizations and storytelling

  • Communicate Statistical Analysis and Machine Learning Models to Executives and Clients

  • Create and manage APIs


  • 3-5+ years of relevant work experience

  • Extensive knowledge of Python and R

  • Clear understanding of various analytical functions (median, rank, etc.) and how to use them on data sets

  • Expertise in mathematics, statistics, correlation, data mining and predictive analysis

  • Experience with deep statistical insights and machine learning ( Bayesian, clustering, etc.)

  • Familiarity with AWS Cloud Computing including: EC2, S3, EMR.

  • Familiarity with Geospatial Analysis/GIS

  • Other experience with programming languages such as Java, Scala and/or C#

  • Proficiency using query languages such as SQL, Hive, and Presto

  • Familiarity with BDE (Spark/pyspark, MapReduce, or Hadoop)

  • Familiarity with software development tools and platforms (Git, Linux, etc.)

  • Proven ability to drive business results with data-based insights

  • Self-initiative and an entrepreneurial mindset

  • Strong communication skills

  • Passion for data


  • Competitive Salary

  • Medical, Dental and Vision

  • 15 Days of PTO (Paid Time Off)

  • Lunch provided 2x a week¬†

  • Snacks, snacks, snacks!

  • Casual dress code

Posted 10 months ago