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Job Title: Senior Data Scientist
Job Number:
Organization: Everytown for Gun Safety
Posted: 11/25/2019
Type: Full-Time
Industry: Non Profit / NGO
Number of Openings: 1
Location: New York,  NY   
Position Description: Everytown for Gun Safety, the nation’s largest gun violence prevention advocacy group, is seeking a Senior Data Scientist. The Everytown Research Department studies how gun violence occurs in America and identifies the best policies and interventions to prevent and address it. In this role, the Senior Data Scientist will need to understand and communicate about the various types of gun violence, who it impacts, and how it impacts different communities and populations differently. You must be committed to addressing gun violence in diverse communities around the country.

The Senior Data Scientist will be the data lead for the research department, responsible for advanced data analysis, data management, and the quantitative components of primary research studies. The Senior Data Scientist reports to the Principal Research Scientist.

We’ll trust you to take on the following responsibilities:

Serve as the lead data analyst on the research team, responsible for the accuracy and appropriate use of all calculations and findings

Conduct original analyses and identify new avenues for statistical analysis on gun violence prevention, policies, and interventions to support Everytown for Gun Safety research and advocacy

Analyze large datasets using appropriate statistical software packages and programming languages

Oversee staff to obtain, organize, and update datasets of frequent reference (e.g., CDC fatal and nonfatal injury data; FBI Supplementary Homicide Report data; FBI background check data; and other federal-, state-, and city-level data related to gun violence prevention)

Optimize data collection and storage processes and ensure the integrity of all databases managed by the research department

Lead efforts to identify new datasets and opportunities for original analysis, as well as their application across departments

Contribute data analyses to research reports, fact sheets, and other products, and provide rigorous review of all products for accuracy

Serve as a mentor to the team and identify training and development opportunities

Clearly translate the implications of research findings to other departments, policymakers, and the general public

The ideal candidate will have:

Advanced degree in statistics, applied mathematics, epidemiology, econometrics, health informatics, or other related quantitative/computational discipline

Minimum of 3 years post-graduate degree experience in applied data analysis for social science or public health research or policy advocacy

Experience cleaning and analyzing data using at least one statistical software package (Stata, SPSS, and/or SAS) and/or programming language (R, SQL, Python, etc.); combination of statistical software package experience and programming language fluency a plus

2+ years mentoring peers in data analysis

Proven record manipulating and analyzing large structured or unstructured datasets with outputs to research reports, peer- reviewed publications, or interactive websites or tools

Fluency with multiple research methods, both quantitative and qualitative, such as multivariate statistics, cluster analysis, survey research, regression analysis, classification modelling, hypothesis testing, and/or composite index creation

Familiarity with government-generated data and information sources (city, state, or federal) preferred

Excellent analytical and problem-solving skills matched with a passion for answering hard questions using data

The ability to work in a dynamic and fast paced environment with an open floor plan

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Everytown for Gun Safety provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.

Candidates who identify as members of historically underrepresented groups are highly encouraged to apply. A diverse workforce and open culture are at the heart of our organization and vital to our success.


Organization Description:

Closing Date: 2/25/2020
Desired Starting Date:
Contact Name: Kathryn Bistline,  Principal Research Scientist
Contact Location:

Contact Location:
Contact Phone:  
Contact Fax:
Contact Email:
Web Address:
How to Apply: Apply via the website, no email applications.

Additional Information:

Web Site Delete Date: 2/25/2020