Data Science Associate

American Institutes for Research
Watertown, MA, United States
$83.2K-$102K a year
Full-time

Overview

Join AIR as a Data Science Associate in our Technology Solutions team where we use technology to transform the world we live in.

Our cross-cutting Technology Solutions team provides technical expertise and solutions by focusing on responsive service and flexibility in delivery.

Our collaborative, learning-oriented team works worldwide in a flexible working environment, towards the mission of making the world a better, more equitable place.

We design, architect, develop, and deploy cutting-edge, user-centered solutions, including :

Software development of data collection, processing, and reporting solutions for data-intensive projects

Dissemination of data and information through websites and content management systems

Solving complex problems using machine-learning and artificial intelligence

Data visualization

Online training courses and media development

Withdiversity, equity, and inclusion () built into our DNA, we value the contributions of every member of our institution.

Use your tech skills for good and collaborate with fellow changemakers in our Technology Solutions team.

Candidates hired for the position may work remotely within the United States (U.S.) or from one of ourU.S. office locations.

This does not include U.S. territories.

About AIR :

Established in 1946, with headquarters in Arlington, Virginia, AIR is a nonpartisan, not-for-profit institution that conducts behavioral and social science research and delivers technical assistance to solve some of the most urgent challenges in the U.

S. and around the world. We advance evidence in the areas of education, health, the workforce, human services, and international development to create a better, more equitable world.

AIR’s commitment to diversity goes beyond legal compliance to its full integration in our strategy, operations, and work environment.

At AIR, we define diversity broadly, considering everyone’s unique life and community experiences.We believe that embracing diverse perspectives, abilities / disabilities, racial / ethnic and cultural backgrounds, styles, ages, genders, gender identities and expressions, education backgrounds, and life stories drives innovation and employee engagement.

Learn more about AIR's Diversity, Equity, and Inclusion Strategy and hear from our staff byclicking here () .

Responsibilities

The responsibilities for the position include :

Build cloud applications and data pipelines using platform as a service tools and / or open source tools

Develop visualizations, dashboards, and reports suing open source and / or business intelligence tools

Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques

Support computer modeling or simple to moderately complex forecasting using standard software packages

Support to quantitative and / or qualitative analysis using standard techniques and methods

Work independently and in teams on moderately complex assignments under indirect supervision

Create replicable, well-annotated code in a shared environment

Coordinate project support needs and requests for senior management and clientele

Develop systems for maintaining and checking the accuracy of data for assigned projects

Utilize external resources to supplement, organize, and contribute to tasks and projects

Present and occasionally support and organize content in internal and external meetings

Remain up-to-date on and provide suggestions for new technologies that can be used in research

Review and optimize others’ programming code

Provide innovative and suitable solutions to complex problems

Foster an environment that embraces diverse perspectives, abilities, racial / ethnic and cultural backgrounds, ages, gender identities and expressions, educational experiences, and life stories

Qualifications

Education, Knowledge, and Experience :

A Bachelor’s degree in a field with computer science emphasis (e.g., Data Science, Data Engineering, Computer Science) with a minimum of 3 years’ experience or a master’s degree in a field with computer science emphasis (e.

g., Data Science, Data Engineering, Computer Science)

Python programming

Experience with database software (e.g., MySQL, MS SQL Server)

Experience with generative AI tools and applications for use

Interest in exploring and developing new tools for data applications

Experience with Python web frameworks Django, flask is a plus but not required

Experience with statistical packages like R or SAS is a plus but not required

Skills :

Comfortable with solution-focused problem solving and thinking through problems creatively

Excellent communication skills with the ability to collaborate efficiently in a virtual work environment

Strong analytical, critical thinking, and problem-solving skills

Excellent interpersonal skills with the ability to collaborate effectively with individuals at all levels and from diverse backgrounds

Disclosures :

All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity / expression, sexual orientation, national origin, protected veteran status, or disability.

AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks.

AIR’s Total Rewards Program , is designed to reward our staff competitively and motivate them to achieve our critical mission.

This position offers an anticipated annual salary of $83,200 to $102,000. Salary offers are made based on internal equity within the institution and external equity with competitive markets.

Please note this is the annual salary range for candidates that are based in the United States.

AIR maintains adrug-free work environment () .

Fraudulent Job Scams Warning & Disclaimer :

AIR is aware of individuals falsely presenting themselves as AIR representatives.Fraudulent job scams seek to extract sensitive information or money from victims.

To protect yourself, please be aware that AIR recruitment will only email you from an @air.org domain. Please take extra caution while examining the email address, for example jdoe @air.

org is correct and jdoe @aircareers.org is not a legitimate AIR email address . If you are unsure of the legitimacy of a communication you have received, please reach outto recruitment@air.org .

If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov . You can also report it to your state attorney general .

Find out more about how to avoid scams at ftc.gov / scams .

LI-MP1 #LI-Remote

Submit an interest application ()

Please note, each section of the application is required in order for you to be considered for this opportunity. If you do not complete the required screening questions, or if you close your browser before completing each section of the application, your application will not be submitted for this position.

American Institutes for Research is an equal employment opportunity / affirmative action employer committed to excellence through diversity.

Minorities, women, individuals with disabilities and veterans are encouraged to apply.

American Institutes for Research’s commitment to Diversity goes beyond legal compliance to its full integration in our strategy, operations and work environment.

Diversity is valued and Inclusion is reflected in all efforts to recruit, develop, and engage the diverse staff needed to accomplish our mission.

ACCESSIBILITY NOTICE : If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.

org or call 202.403.5000.

Job Location US-Remote US-DC US-VA-Arlington US-NC-Chapel Hill US-IL-Chicago US-MD-Columbia US-MD-Columbia US-MD-Rockville US-CA-Sacramento US-MA-Waltham

Job ID 13085

Job Location United States

Category Data Science

10 hours ago
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