Job Description

Knowesis is seeking an experienced Data Scientist. Our candidate will perform advanced analytics services to support duties associated with identifying, deterring, and investigating fraud, deficiency, waste, and abuse, and monitoring the progress made to implement corrections actions for our federal client.

This position requires a Secret clearance and requires U.S. Citizenship (applicants without proof of U.S. citizenship will not be considered due to the position’s security clearance requirement).

Duties and responsibilities include, but are not limited to:

• Writing algorithms and building statistical models on data science projects, including but not limited to predictive modeling and data mining, relating to investigation and fraud detection in areas of pricing, business models, operational functions, workflow, processes, and other business-related issues.
• Design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis
• Utilize Python, R, and SQL in data analytics to collect, understand, transform, cleanse, store, and share data in a privacy-preserving way (ETL).
• Create rich, interactive Tableau dashboards that accelerate analytical insights.
• Proficient in advanced machine learning algorithms to solve regression, classification, and clustering problems.
• Ability to work with both structured and unstructured data to employ unsupervised learning models, including isolation forest, k-means clustering, anomaly detection, and principal component analysis
• Able to handle Big Data problems utilizing unique technologies that store, manipulate, extract, and create features for processing and modeling
• Able to implement machine learning algorithms with multidimensional data for classification and clustering problems and graphical networks
• Obtain quantitative and qualitative data of business processes to analyze, determine and promote data-driven decisions.
• Collaborate with functional areas to develop and maintain performance metrics, measurements, methods, and targets.
• Evaluate operational efficiency and effectiveness.
• Provide program manager and client with analysis to inform enterprise resource allocation decisions and assess institutional risk.
• Support both routine and special projects by communicating with multiple teams to ensure requirements are precise and understood from both a functional and technical perspective.
• Contributes to program and task-related reports, briefings, justification, and requests.

Skills:

• Strong background in mathematics, statistics, and probability.
• Be able to read, write, and speak English fluently and clearly to effectively communicate with all personnel for which they will interact.
• Have the ability to communicate with sufficient clarity to be readily understood by laypersons, senior officials, and Government staff.
• Possess sufficient initiative, interpersonal relationship skills, and social sensitivity such that they can relate constructively to a variety of contacts from diverse backgrounds.

Education: Master’s degree in Data Science, Statistics, Computer Science, or an associated technical discipline, including experience with one or more scripting or scientific languages (R or Python).

Bachelor’s degree in one of the above disciplines with three (3) years minimum experience in data science, including experience with one or more scripting or scientific languages (R or Python).

Experience

• Experience in statistics and programming in R and/or Python, and SQL.
• Experience with text analytics including Natural Language Processing.
• Proficient in data visualization tools to design reports and graphs to identify autonomous patterns and behaviors.
• Experience of leveraging machine learning algorithms to perform predictive modeling and forecasting.
• Demonstrated experience in preparing and editing technical documentation.
• Expert knowledge in Microsoft Office products and SharePoint.
• Exposure to distributed files frameworks including Hive and Spark.
• Able to perform statistical modeling with multiple regression techniques, variable selection methods, time series analyses, and neural networks in Python, and/or R.
• Able to manipulate and arrange undefined sets of data using multiple tools and software at the same time, and build custom automation systems and frameworks.
• **Due to the COVID-19 Pandemic, Knowesis, Inc. requires all employees to be fully vaccinated as a condition of employment. An employee is considered fully vaccinated two weeks after receiving the second dose of a two-dose COVID-19 vaccine or one week after receiving a single-dose COVID-19 vaccine. All newly hired employees will be required to provide proof of vaccination.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)