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
