Job Description:

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able To Obtain:

None

Suitability:

Public Trust/Other Required:

MBI (T2)

Job Family:

Data Science

Skills:

Job Qualifications:

Machine Learning, Microsoft Azure, Python (Programming Language)

Certifications:

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

|| THIS POSITION IS CURRENTLY BEING PIPELINED IN PREPARATION FOR THE ANTICIPATED DEMAND FOR CANDIDATES ||

Seize your opportunity to make a personal impact as a Data Scientist supporting The United States Postal Service (USPS) Office of Inspector General (OIG). GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

At GDIT, people are our differentiator. You will help ensure today is safe and tomorrow is smarter. As a Data Scientist , you will have a primary focus on engineer data analytic solutions, including prototyping, proof of concept, and full implementation. Candidates will evaluate, assess, document, and test data security and continuity of operations for systems and programs. There is an expectation that candidates will be experienced in ensuring compatibility between equipment and software, analyzing operation/systems requirements, supporting design reviews, and presenting technical briefings.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT:

Coordinate with staff and customers to identify business and technical requirementsProduce written documentation and artifacts for all work completed, including the translation of user requirements into technical designsAssist the agency in the development of programming and visualization solutionsTroubleshoot and provide support on existing projects or application effortsUnderstand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areasSkill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languagesSkill using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methodsWork as RISC liaison to CIO for server/system issues related to AWS and AzureStrong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholdersPerform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical toolsReview, analyze, and modify existing products including coding, debugging, testing, and documentingProvide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and softwareAssist with training and conference development which may include presentations to large audiencesAbility to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staffEnsure that quality/security guidelines are followedStrong relational database and querying languages experienceUnderstand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting)

Education :

WHAT YOU LL NEED TO SUCCEED:

BA/BS in Computer Science, Information Technology, Data Analytics, or related fieldProfessional Certification(s) in a related field of data science and/or data analytics disciplines (preferred)

Required Experience :

5+ years experience and skill writing coding languages (such as SQL, Python, R, SAS, and Java Scripts)3+ years experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods2+ years of experience working in a client-facing technical roleAt least 6 months experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake

Required Technical Skills :

Expert proficiency in common data science tools, including:Scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reportsKnowledge and experience in:Using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methodsUsing business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.)AWS or Azure Services, including Databricks, Data Factory, and Data LakeSAS Visual Analytics, SAS Enterprise Guide, SAS Studio, Office Analytics, and other SAS toolsKnowledge of ODBC connection strings, and other external data source connection protocolsKnowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools

Required Skills And Abilities:

Strong verbal and written communication skillsMust be able to work effectively in a team environment

Security Clearance Level :

Ability to obtain and maintain a Public TrustThe security clearance for this program requires the selected candidate to have resided in the US for the past five years. The selected candidate cannot have left the country for longer than 90 consecutive days and no more than 180 cumulative days

Location :

Primary location in Arlington, VA with a hybrid work schedule (i.e., commuting one day a week or twice in a two-week period)

GDIT IS YOUR PLACE:

401K with company matchComprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerProfessional growth opportunities including paid education and certificationsCutting-edge technology you can learn fromRest and recharge with paid vacation and holidays

#GDITCareers #DataScientist #MachineLearning

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Hybrid

Work Location:

USA VA Arlington

Additional Work Locations:

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.#J-18808-Ljbffr