Fors Marsh
Research Associate, Personnel Health Research & Data Analytics
Alexandria, VA
Work authorization required$70k-$80kDetected 62 days ago
PythonGitSQLDatabricksMachine LearningData AnalysisData ScienceData VisualizationNLPStatisticsResearchCommunicationProblem Solving
About the role
- This individual would work in a researcher role, providing assistance on projects focused on improving service members' well-being, advancing data science insights, and inform policies and organizational decision making.
- This job is best for someone who enjoys applying innovative methods to solve challenging analytic problems, has experience working with large data sets, and thrives in a collaborative environment.
- Ability to work on-site in the Washington D.C. area 2-3 days a week.
Responsibilities
- We are a team of researchers, strategists, and communicators working together to drive lasting change.
- We look at human behavior from all angles with a deep understanding of people and context to design solutions that influence decision-making and move people to action.
Requirements
- Must be a U.S. Citizen and consent to a full background check due to our federal contract requirements.
- Ability to make an impact on people's lives, both internal and external to the organization.
- Dedicated training and development budgets to expand your expertise and grow your skillset.
- You can participate in Fors Marsh staff-led affinity groups.
Nice to have
- Degree in a heavily quantitative social science (e.g., sociology, political science, psychology), data science, or related field
- Master's preferred Master's degree with 2+ years of applicable industry experience
Compensation
- $70,000-$80,000 annual Internal Fors Marsh Career Map Title: Research Associate I (R3) Location: Hybrid.
Benefits
- Our benefits typically meet or exceed our competitors' packages.
- Personnel Health Research & Data Analytics, Military (Washington, D.C.)
- Our work promotes health and well-being, shapes resilient communities, and builds effective and accountable institutions.
- This individual's primary responsibility would be to support a portfolio of quantitative social science and data science research projects for our Personnel Health Research & Data Analysis team.
- Top-tier health, dental, vision, and long and short-term disability coverage all covered at 100% for employee coverage.
- A floating holiday bank so you can celebrate the days you value.
- Generous matching retirement contributions and no vesting period starting the third month of employment.
- You can volunteer your way with paid time off.
Company info
- At Fors Marsh, we take on issues that matter.
- We are a certified B Corporation and a Top Workplace for 7 consecutive years.
- WHO WE ARE LOOKING FOR: Fors Marsh is seeking an intelligent and motivated Researcher with a background in quantitative social science.
- include: Analytical and Technical Skills Conducting exploratory data analysis, cleaning (e.g., data transformations), and analysis on large-scale data Executing advanced statistical techniques such as multi-level modeling (e.g., cross-classified random effects, linear mixed effects), data reduction (e.g., PCA, factor analysis, clustering), predictive model selection (e.g., LASSO, Ridge), natural language processing, and/or machine learning techniques Executing data visualization techniques and dashboard creation steps Supporting all phases of the data science and social science analytics process, including the analysis and interpretation of survey research, integrating datasets (e.g., survey data integrated with administrative data), and other studies Supporting and executing survey workflows focused on population specification and sample frame development, including identifying relevant data sources, cleaning, deduplication, and frame quality checks Resolving problems that require general knowledge of analytic methodologies and principles, as well as the ability to learn new techniques Communicating trade-offs associated with analytic approaches to technical and non-technical audiences.
- Conducting quality checks on data extracts, analyses, and deliverables Working in R and Python to execute automation tasks, R package creation, data wrangling, exploratory data analysis, and executing advanced analyses Working in or learning Databricks Team Orientation Work under supervision of a Senior Team member Work collaboratively with a mixed team of data and social scientists to operationalize personnel-related metrics and explore, aggregate, and analyze large, complex quantitative data sets through a variety of techniques.
- Client and Stakeholder Interaction and Communication Assist with briefing clients and stakeholders under supervision from Senior Team members Assist in preparing research reports/briefs for technical and non-technical audiences, and other internal or external communications summarizing research methods, findings, and implications.
- LOOKING FOR: Fors Marsh is seeking an intelligent and motivated Researcher with a background in quantitative social science.
Equal opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visa & Work Authorization
- Citizen and consent to a full background check due to our federal contract requirements
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