Sr. Data Scientist

Pay Range: $70 to $85/hr.

Sr. Data Scientist
Hybrid

Purpose Statement
Responsible for the initiation, design, development, execution, and implementation of data science research projects. Receives minimal technical direction/review on broad Product or complex projects. Viewed as an expert in one or more technologies.
Key Responsibilities
• Investigates the feasibility of applying scientific principles and concepts to potential technologies, processes and products.
• Plans and executes research to prove feasibility of concepts.
• Participates in intellectual property evaluations and development of patent applications.
• Consults and interacts with outside and inside experts.
• May coordinate interdepartmental activities and research efforts.
• Write and submit professional articles for technical journals.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, clinical marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad Clienting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Quality System Requirements
In all actions, demonstrates a primary commitment to patient safety and product quality by maintaining compliance to the Quality Policy and all other documented quality processes and procedures.

Required Experience:
10 - 14 Years with BA, 8 - 12 Years with MBA, 5 - 8 Years with Phd
A.I. Developmental experience is a big plus