Senior Data Scientist
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
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