POSITION SUMMARY: The Data Scientist drives internal data analytics projects. Projects will vary from short explorations of our data to longer-term implementations of advanced predictive and machine learning models. The Data Scientist constantly explores our existing data while seeking out new data to consume. They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Data Scientist effectively communicates both technical and analytical concepts across all levels of the organization, and they influence decision making through presentation of data-based recommendations. PRINCIPLE RESPONSIBILITIES:
Researches and resolves data inquiries and requests
Documents requirements for data science and reporting projects.
Supports the development of standard data analyses, reports, and dashboards.
Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas
Transforms data into actionable insights and recommendations.
Designs experiments and interprets the results to draw detailed and actionable conclusions.
Builds statistical models to enhance understanding of trends and predicts future performance.
Participates in end-to-end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement and tracking.
Designs, validates and evaluates solutions using R, Python, SQL and other programming tools.
Performs other job-related duties as assigned or apparent.
QUALIFICATIONS:
Master's degree
2 years of in-depth hands-on relational database and reporting experience including the ability to write SQL
Demonstrated knowledge working with large databases to perform complex analysis
2 years of demonstrated knowledge of statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, decision trees
1 year of demonstrated proficiency with quantitative tools including R, SAS, Python or similar statistical software
MINIMUM QUALIFICATIONS:
Bachelor’s Degree in an analytical field (Mathematics, Economics, Computer Science, Information Management, Statistics, Finance, Engineering, etc.)
Advanced SQL, scripting, and data visualization experience
Strong skills in Microsoft Excel including complex formulas, pivot tables, connecting to databases and cubes, and macros.
