The IRS is looking to solve client problems by developing technical plans and delivering data-driven analytical solutions using the latest mathematical and statistical methods and emerging technologies.
Requirements
- Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL)
- Experience with data exploration, data munging, data wrangling, and model development in R or Python
- Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL
- Programming techniques (e.g. pair programming, code reviews)
- Experience with containerization and environment management (venv or conda)
- Experience with Natural Language Processing (NLP) and advanced text mining techniques
- Experience with graph analytics and network analysis
Responsibilities
- Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions
- Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic
- Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools.
- Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques.
- Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline
- Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training
- Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models
Other
- Must have a IRS Public Trust w/a Full Background Investigation
- Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)
- Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements.
- Ability to work autonomously in a collaborative, dynamic, cross-functional environment
- Demonstrated business savvy with solid interpersonal and communication skills (written and verbal).
