Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
Support the team in building predictive models, tools, and data visualizations
Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Strive to support team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Such other reasonable tasks as assigned by management.

Requirements

An undergraduate degree in a quantitative field or equivalent work experience
Conceptual understanding of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
Proficient understanding of a statistical programming language such as R, Python, or Julia
The ability to create informative and engaging data visualizations using industry leading tools
The ability to build predictive models using regression and machine learning techniques
The ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
Knowledge of experimental design and causal inference
The ability to create user interfaces for new products using frameworks such as Shiny or Django
The ability to learn SQL to manipulate data

Benefits

Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysispredictive modelingdata visualizationstatistical programmingregression techniquesmachine learningexperimental designcausal inferenceSQLuser interface design

Soft Skills

collaborationproblem-solvingdocumentationcommunicationteamworkindependencetime managementadaptabilitycreativityevangelizing new approaches