50 applicants

Company

Original Job Post

Metric5 · 4 days ago

Data Scientist

Reston, VA

Full-time

Onsite

Mid Level

3+ years exp

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Digital EntertainmentInformation Technology

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Responsibilities

Perform data analysis, data verification, data validation, and testing from data ingested from source systems into the USCIS Data Lake

Use machine learning techniques to improve the quality of data or product offerings

Verify data quality to ensure accurate analysis and reporting

Develop models, using machine learning, or incorporating advanced programming

Find patterns and trends in datasets to uncover insights

Communicate recommendations to other teams and senior staff

Interact with officially designated product owners, system owners, and business owners of the source systems to understand transactional system data models, requirements, and ETL logic

Contribute to an environment of continuous improvement by helping the team identify areas of the development process that can be improved and helping the team commit to and deliver improvements in those processes

Actively participate in Agile release and sprint planning, sprint grooming, artifact creation, sprint testing, demonstrations and retrospectives and solution releases.

Execute other activities related to development work, such as participate in meetings, provide briefings, presentations and other support materials that will promote the program, assist in achieving user buy-in, and explain technical concepts to non-technical audiences

Stay on top of innovations in the data science field

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningArtificial IntelligenceApache SparkDatabricksData WarehousePythonSQLSupervised LearningUnsupervised LearningMicrosoft OfficeProblem SolvingAnalyticalCommunicationTeamworkAdaptabilityMulti-taskingAgileScrumKanbanJiraConfluenceAWS CloudGitHubVersion Control

Required

Advanced understanding of Data Science/Machine Learning/Artificial Intelligence

5+ years of demonstrated experience with Apache Spark or Databricks

3+ years performing data science work. Experience in Data Warehouse/Lake environment preferred

3+ years of proficiency with programming languages including Python and SQL

3+ years of proficiency in supervised learning and unsupervised learning

Excellent analytical, verbal, and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts.

Ability to triage issues, react well to changes, work with teams and ability to multi-task on multiple projects

Strong problem solving and analytical skills demonstrated by the ability to assimilate new information

Well-versed in the use of Microsoft Office Tools

Preferred

Knowledge of Agile, including Scrum and Kanban, and management tools (e.g., Jira, Confluence)

Experience working in an AWS Cloud environment

Experience with industry standard version control tools (i.e., GitHub)

Bachelor’s degree in a technical discipline preferred – Computer Science, Mathematics, or equivalent technical degree, or the equivalent combination of education, professional training, and work experience