Develop analytic models, create and provide analysis code, and work with internal or external stakeholders to validate accuracy of production code.
Work closely with data scientists and analysts to design and develop data mining and machine learning algorithms to solve business and customer problems.
Implement automated processes for scaling models.
Participate in engagement and discovery sessions between data scientists to identify problems/gaps as well as innovation opportunities that can be solved or enabled by the data analytic and modeling.
Consult with internal and external clients regarding analytic solution implementation, score calculations, analytic output, and statistical techniques.
Interpret, document and successfully communicate analytic work, requirements, and/or results to stakeholders, including those in non-analytic roles.
Conduct analysis and produce reports in support of both existing and new product development and/or customer sales.
Proactively identify and communicate data quality issues and successfully work with other teams to implement solutions.
Required Skills
High degree of creative, analytical and problem-solving skills.
Strong object-oriented design and coding skills.
Ability to learn quickly and communicate effectively.
Ability to work effectively both independently and collaboratively.
Must be able to work independently with minimal guidance.
Must be proactive and energetic.
Strong interpersonal skills and a positive attitude.
Required Experience
Experience with R, Python or similar software packages.
Experience with database management technologies in the data analytics context.
Experience writing queries with SQL.
Experience working with AWS.
Experience working with Hadoop and other distributed computing frameworks.
Experience with version control through Git.
Experience with data manipulation techniques.
Education Requirements
Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.