Ninja Analytics is looking for a Senior Data Scientist to help lead the development and delivery of high-quality predictive modelling solutions to address complex national and homeland security challenges.
Requirements
- Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems
- Experience with programming languages including: R, Python, Scala, Java.
- Proficiency with SQL programming
- Experience constructing and executing queries to extract data in support of EDA and model development
- Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent
- Experience with pattern recognition and extraction, automated classification, and categorization
- Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)
Responsibilities
- Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).
- Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data within an identified problem space to build predictive models as well as develop appropriate supporting documentation.
- Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
- Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.
- Develop and operationalize models, tools, and applications that drive optimized decision making.
- Data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment.
Other
- Serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges.
- The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments.
- They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities.
- Applicants will have a demonstrated capacity to work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and apply new and emerging tools and techniques.
- Selected applicants must be a US Citizen and able to obtain and maintain a Top Secret Security Clearance
