Our client, a leading research university, is hiring a Survey Statistician.
Work Location: Cambridge, MA (open to remote, Massachusetts area preferred)
Summary:
The FutureTech Project is an interdisciplinary research group at the client that studies the future of computing that underpins much of recent economic growth. To do so, we bring scholars from computer science, economics and management to examine the foundations of computational progress. For one of our projects, we are seeking a statistician to support the design of an industry survey on computing and technology use among U.S. firms. The statistician will support the development of survey design and sampling strategy as well as help with data analyses and quality assurance.
Key Responsibilities:
- Developing survey design and sampling strategy for FutureTech industry survey of U.S. firms
- Calculating sampling weights for survey data and calculating sampling errors
- Preparing description documents for sampling methodology and procedures used for the survey project
- Power calculation including complex survey design using simulations or other detailed analysis
- Providing technical assistance in sampling frame construction, sample design, sample size determination, stratification, sample selection and weighting
- Exploring and implementing innovative sampling methods to accommodate the survey project specific needs and methodologies
- Providing technical assistance in survey analysis, quality assurance, comparisons with public data, writing up results
- Use survey data in combination with other lab sources to make projections on the future of computing adoption and progress
- Providing statistical advice to project staff and other ad-hoc tasks as needed
Qualifications:
- Master’s or higher degree in statistics, data science, economics or related quantitative discipline with demonstrated expertise in survey design, in particular sampling
- 2+ years of experience designing samples for surveys in national or international settings, including designing samples for multi-industry surveys, calculating weights for survey data, and calculating sampling errors
- Expertise in statistical survey analysis techniques
- Experience in statistical forecasting and simulations
- Strong proficiency in R/Python statistical programming
- Familiarity with the domain of technology and computing
- English written and oral fluency
Salary Range: $60,000-$114,000/year