Data Science Associate

Bachelor’s degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics
4 years of direct and applicable work experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation
Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages
Strong formulas and data visualizations knowledge
Exposure to business intelligence or analysis platforms
Naturally curious and ability to drive business decisions and solutions
Effective communication skills, both verbal and written, with the ability to present complex information
Proactive, self-starter and can manage priorities through effective time management skills

Extracting, integrating analyzing, and interpreting data from internal and external data sources
Developing analytical tools that deliver insight to inform recommendations to achieve business goals
Collaborating with team and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains
Working cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions

Master’s degree
Experience working with unstructured data sets
Experience building data models and data pipelines with familiarity of data warehousing concepts
Strong consultation and presentation skills
Experience developing project roadmaps and timelines
Experience working with AWS tools such as S3, Glue, Redshift, Athena, Sagemaker, etc.
Experience developing, testing, and implementing statistical models within a business context