Research Scientist

Aditi Consulting • Contract • Seattle, WA, US • $58 - $61 / hour • 3d ago

Payrate: $58.00 - $61.00/hr.

Summary:
We are seeking a highly skilled and analytical Research Scientist Consultant to support our growing Global Customer Insights team. As a Research Scientist Consultant with GREF, you will play an integral part in the measurement and optimization of the workplace. You will have the opportunity to work with large datasets, including sentiment related data and space utilization sensor data, to enable a holistic understanding of the experience and how the office is currently supporting needs.

A successful consultant will have a passion for clarity, be a self-starter comfortable with ambiguity, have strong attention to detail, be able to work in a fast-paced and entrepreneurial environment and be driven by a desire to innovate. Given the complex nature of the questions we are working on, the ideal consultant will be relentlessly curious and be eager to engage in the business conversations underlying the data.

Responsibilities:

Adapt and develop new research methodologies to accelerate and advance discovery of customer insights.
Solve real-world problems by analyzing large amounts of behavioral, and sentiment-based data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical models, classification algorithms, clustering techniques, network analysis by tailoring to business needs, and collaborating with UX Researchers, Scientists, BIEs, and Product/Program Managers.
Write code (Python, R, SAS, STATA, SPSS, etc.) to analyze data and build innovative statistical and machine learning models to drive workplace experience improvements.
Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps.
Retrieve, analyze, synthesize, and present historical data in a format that is immediately useful to answer specific questions, improve system performance, or support decision making.
Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.

Basic qualifications:

PhD or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets

Preferred qualifications:

Hands-on experience with R, SAS, STATA, or SPSS
Experience with SQL and big data technologies (e.g., AWS Tools)
Experience developing survey questionnaires to deliver insights against specific research objectives
Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
Experience working with human behavior tracking data a plus

Pay Transparency: The typical base pay for this role across the U.S. is: $58.00 - $61.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.

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