Data Scientist

We are seeking a Data Scientist that will be a part of an Analytics team that has been tasked with scoping, developing, modelling, implementing, and delivering robust data analytics on federal payment data to identify and prevent potential fraudulent and improper payments.

Responsibilities: - Lead development of analytics projects and predictive modelling using data mining techniques (eg linear and logistic regression, neural networks, decision trees, experimental design, cluster analysis, factor analysis, multivariate statistical analysis, segmentation analysis)
- Lead the design and optimization of algorithms for matching of various data sets using advanced mathematical approaches (eg locality-sensitive hashing, fuzzy logic)
- Lead large-scale analytical research projects (eg hypothesis testing) through all stages; this includes concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report
- Design, build and extract large and complex data sets while thinking strategically about uses of data and how data use interacts with data design
- Lead large-scale data studies and data discovery for new data sources or new uses for existing data sources
- Lead design and implementation of statistical data quality procedures for existing and new data sources
- Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the stakeholders
- Establish links across existing data sources and find new, interesting data correlations
- Compile, review, and assess information from academic journals, market sources, and government reports

Qualifications: - Master's Degree in Statistics, Economics, Mathematics, Quantitative Analysis or equivalent
- 15+ years of experience in related field
- Extensive experience with analytical and statistical software packages such as SAS, R, Stata, Matlab, Eviews, or S-plus
- Extensive experience with data programming languages such as SQL, PostgreSQL, or PL/SQL
- Extensive experience with programming languages such as Python and Java
- Extensive Experience with design and implementation of data warehousing, relational databases and associated infrastructures
- Extensive Experience with large data sets or Big Data
- Experience with distributed computing tools such as Hadoop or Map/Reduce
- Passionate about data maintenance, data quality control, and all other important data analysis techniques
- Excellent analytical and problem solving skills with attention to detail and data accuracy
- Strong interpersonal, communication (verbal and written), relationship management, and customer service skills with a focus on working effectively in a team environment
- Proficiency in automated database, spreadsheet, and analysis tool
- Ability to use MS Office Suite (Word, Excel, PowerPoint, Access, Visio)
- Ability to work cross-functionally to solve complex problems and improve quality and service
- Ability to manage multiple projects and work processes in a timely fashion
- Ability to perform involved and independent research and analysis
- Ability to maintain confidentiality and appropriately handle sensitive information