Associate Statistics Director

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🕒 March 5

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Federal Trade Commission

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1914

🏛️ Government

📋 Compliance

🔐 Security

Government • Compliance • Security

Federal Trade Commission is an American government agency that focuses on protecting consumers and ensuring a strong competitive market. The FTC aims to prevent fraudulent, deceptive, and unfair business practices in the marketplace and to provide information to help consumers avoid such practices. The commission is involved in consumer protection such as identity theft prevention, online security, and combating various types of scams. Additionally, the FTC provides resources and alerts for consumers on topics such as credit, loans, and unwanted communications.

📋 Description

• Working as part of our dynamic Advanced Analytics team using a wide range of applied statistical techniques, AI, and interactive application development approaches to analyze data, visualize results, and interpret findings for business decision support. • Collaborate to help project teams design research that overcomes challenges and achieves clients’ business objectives • Independently build models/quality check others’ models and associated tools for specific business needs, including design and improvement of models for branded solutions • Evaluate new methodologies for their robustness and application; integrate into Adelphi offerings • Go-to expert for model application development (R-Shiny, Excel, Visual Basic, Python, PowerBI, etc.) • Client-facing member of the proposal/project team for advanced methods presentations, dialogue, application demonstrations • Provide input into project design elements to optimize for statistical analysis • Lead analytic brainstorming with advanced methods and project teams to solve analytic challenges and create bespoke analysis elements on the fly • Go-to coach for advanced methods team coaching on statistics, coding, model/app development

🎯 Requirements

• Master’s or doctorate degree, or equivalent applied experience • Minimum of 6-8 years of experience • Broad knowledge of statistical techniques • Experience with data manipulation, weighting, sample size calculation and significance testing • Proficiency building war gaming/simulation models/interactive dashboards (R-Shiny, Excel, VBA, or other applications) • Excellent ability to understand and work with numbers • Ability to work to tight client driven deadlines • Experience with multivariate statistics (regression, conjoint and discrete choice methods and segmentation) • Ability to explain analyses and statistical outputs in terms non-statisticians can understand • Proficient in modelling with categorical and ordinal data through the use of multinomial and ordinal regression methods and log-linear and logit methods • Proficient integrating survey research with secondary data sources for modelling and data validation purposes • Strong experience with advanced methods such as time series forecasting, Structural Equation Models (SEM), Path Analysis, and Partial Least Squares Path Models (PLS PM) • Strong experience with hierarchical models, Bayesian approaches, Hidden Markov Models, Latent Class Models, and Monte Carlo methods • Strong experience with Machine Learning techniques such as k-means, Gaussian Mixtures, Support Vector Machines (SVM) • Exposure to Artificial Neural Nets and Kohonen Maps is a plus • Experimental design • Knowledge and advanced use of R and at least two of the following: Sawtooth CBC/HB, SPSS, Github, Matlab, Python, XLStat, SAS.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development