Essential Duties and Responsibilities: 

• Work with large amounts of structured and unstructured data.
• Work with internal stakeholders to explore and understand business data.
• Apply complex analytical techniques to derive actionable insights.
• Design and implement data science applications.
• Design, build, automate, deploy and maintain machine learning production pipelines.
• Implement machine learning model lifecycle management framework.
• Build model performance tracking tools, to monitor month over month model performance, identify drivers and provide recommendations for model performance improvement
• Collaborate with other salesforce data science and engineering teams to establish, formulate and build insight-based feature store.
• Author technical documentation and reports to communicate process and results

Qualifications:

• Bachelor or Masters degree in Physics, Mathematics, Statistics, Computer Science or related field with project experience in machine learning and statistical modeling
• 2-3 years hands on experience in building data science applications and machine learning pipelines.
• Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc.
• Working knowledge of one or more scientific programming languages/packages: Python or R
• Development experience in at least one programming language: Python, Java, C++, etc.
• Knowledge of common machine learning and statistics frameworks and concepts
• Experience with large data sets, distributed computing and cloud computing platforms.

We offer a comprehensive benefits package that includes medical, dental, vision, life, a 401(k) retirement plan and free vacation lodging at our employee resorts in Daytona Beach, FL, Big Bear Lake, CA, Ocean Isle Beach, NC, and Pigeon Forge, TN.