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Elder Research · 2 hours ago

Data Scientist

Arlington, VA

Full-time

Hybrid

Entry Level

1+ years exp

Elder Research is a fast growing consulting firm specializing in predictive analytics. As a Data Scientist, you will work directly with clients to develop technical plans and deliver data-driven analytical solutions, primarily creating and deploying predictive models using various data sources and statistical methods.

AnalyticsConsultingDatabaseInformation TechnologyTraining

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions

Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic

Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL)

Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools

Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques

Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations

Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand

Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline

Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training

Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models

Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication

Ability to work autonomously in a collaborative, dynamic, cross-functional environment

Demonstrated business savvy with solid interpersonal and communication skills (written and verbal)

Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification

Qualification

PythonRSQLData ScienceStatistical AnalysisData WranglingPredictive ModelingData VisualizationVersion ControlClient EngagementCommunication SkillsTeam CollaborationProblem Solving

Required

Must have a IRS Public Trust w/a Full Background Investigation

Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)