Data Scientist
Washington, DC(onsite)
5 years
Public Trust clearance
Role Summary
Analyzes complex data using statistics, programming, and machine learning to develop predictive and advanced analytical models. Performs data collection, cleaning, algorithm development, testing, visualization, and analytical interpretation to support Client's data-driven decision making.
Key Responsibilities
Analyze complex business and manufacturing-support datasets.
Perform data collection, cleaning, transformation, and preparation.
Develop predictive and advanced analytical models.
Apply statistical and Machine Learning techniques to business problems.
Develop and evaluate algorithms and analytical models.
Perform A/B testing and other analytical evaluations.
Create data visualizations and communicate analytical findings.
Support Data Analytics & Visualization, including predictive and prescriptive analytics, trend analysis, root-cause analysis, KPI analytics, and decision-support reporting.
Support anomaly detection, quality and defect analysis, maintenance/reliability forecasting, and other approved AI/analytics use cases.
Communicate analytical results and recommendations to stakeholders.
Experience (Mandatory)
Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science.
5–10 years of related experience.
Strong coding skills in Python, R, and SQL.
Experience with statistics and Machine Learning.
Experience with data wrangling and problem-solving.
Experience developing predictive models and advanced analytics.
Experience with data visualization and communicating analytical findings.
Experience supporting predictive, prescriptive, and context-based analytics and data-driven decision
