Junior Survey Statistician

ICF
Published
October 12, 2020
Location
Rockville, MD, United States
Job Type

Description

Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. ICF’s Survey Research Practice works regularly with federal and state government, nonprofit, for-profit, and academic clients such as the Centers for Disease Control and Prevention, the National Cancer Institute, the National Science Foundation, multiple state and city health departments, and multiple health nonprofits. The position will be involved in cutting-edge survey research addressing many of today’s pressing public health, energy, and scientific development challenges. If you are seeking to make a difference in the world, visit www.icf.com/careers to find your next career. ICF—together for tomorrow.

The safety of our employees is our top priority, due to current COVID-19 safety measures, employees who can work from home, are required to do so. Once it is safe to resume standard practices of commuter travel and social interaction per government guidelines, we expect employees to maintain an office presence as required by project needs and management leadership.

Job Description:

ICF’s Data Management and Statistics team (within ICF’s Survey Research Practice) is seeking a Junior Survey Statistician to provide sampling, weighting, and statistical analysis support on a range of projects including public health, housing, military, and veteran’s issues, energy, transportation, environment, and social and economic policy.

Successful candidates should have experience in sampling and weighting for complex survey designs across various data collection methodologies (mail, web, CATI, etc.). They should also be an experienced statistical programmer in SAS and comfortable cleaning and reviewing data for analysis and producing written technical documentation. Additionally, they will also have experience independently conducting statistical analyses using univariate, bivariate (e.g., Chi-squared, t-test, etc.) and multivariate analysis (e.g., logistic regression), and calculating survey estimate accounting for sample design.

Key Responsibilities:

Survey Statistics and Analysis:

  • Support the design of sampling approaches that balance precision and cost
  • Experience developing efficient solutions to complex sampling problems.
  • Experience drawing stratified and clustered samples
  • Perform nonresponse analysis and calculated nonresponse adjustments
  • Perform literature reviews to understand current approaches and implement new approaches

Statistical Programming

  • Import, clean, and transform data for sampling and weighting
  • Perform survey sampling techniques (e.g., simple random samples, stratified samples, and Multi-staged samples).
  • Calculate survey weights
  • Conduct statistical analysis on data that uses complex survey designs and generation of reports

Consulting:

  • Work closely with project managers, clients, and stakeholders
  • Help transform client requests into technical specifications
  • Explain complex concepts to a wide range of audiences
  • Work in a collaborative environment with colleagues from a diverse background
  • Contribute to and support the development of competitive proposals and other technical writing products

Basic Qualifications:

  • Completed Master’s degree program in Statistics, Biostatistics, Epidemiology, Public Health, or other relevant statistical or social science fields
  • At least 3-5 years of applied and demonstrable experience as a survey statistician
  • Strong knowledge of SAS is required (SAS certifications are a plus!).
  • Knowledge of Microsoft Office products or other document editing software
  • Strong problem solving and critical thinking skills as it relates to frame development and sampling
  • Ability to communicate with internal and external clients at all levels to obtain or clarify project requirements
  • Strong interest in survey research

Preferred Qualifications:

  • Familiarity with other statistical programming or scripting languages (R, SPSS, Stata, Python)

Professional Skills:

  • Excellent written and oral communications skills
  • Strong organizational skills
  • Detail-oriented
  • Ability to manage time effectively
  • Strong intellectual curiosity
  • Team-oriented

Working at ICF

Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. If you’re seeking to make a difference in the world, visit www.icf.com/careers to find your next career. ICF—together for tomorrow.

ICF is an equal opportunity employer that values diversity at all levels. (EOE – Minorities/Females/ Protected Veterans Status/Disability Status/Sexual Orientation/Gender Identity). For more information, please read our EEO & AA policy.

Reasonable Accommodations are available for disabled veterans and applicants with disabilities in all phases of the application and employment process. To request accommodation please email icfcareercenter@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about non-discrimination:  EEO is the law and  Pay Transparency Statement.

Apply Apply for this job directly at the corporate site.
Apply
Drop files here browse files ...

Related Jobs

Assistant, Associate, and Full Professor   New Haven, Connecticut
October 20, 2020
Senior Data and Statistical Programmer   Rockville, MD, United States
October 12, 2020
ML Engineer   Anywhere, United States
October 2, 2020
d
c
Are you sure you want to delete this file?
/