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Senior Data Scientist at X-Mode Social (allows remote)

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. 

WHAT YOU'LL DO:

  • 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

WHO YOU ARE:

  • 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

WHAT WE OFFER:

  • Competitive Salary
  • Medical, Dental and Vision
  • 15 Days of PTO (Paid Time Off)
  • Lunch provided 2x a week¬†
  • Snacks, snacks, snacks!
  • Casual dress code