Hello changemakers,

New social impact-focused research position below! You'd be working on
building models and running research studies to improve the integrity of
the information published on Wikipedia (and sister projects like WikiData
and Wikimedia Commons), as well as identifying and addressing knowledge
gaps, sources of bias, and sociotechnical barriers to contribution in the
content and the contributor communities of those projects.

Details below and here
<https://boards.greenhouse.io/wikimedia/jobs/1173279?gh_src=a41847991>.

Please forward this on relevant contacts and channels!

Cheers,
Jonathan

Research Scientist at Wikimedia Foundation (View all jobs)
<https://boards.greenhouse.io/wikimedia?t=a41847991>
San Francisco, CA or Remote

*Summary*

Every month, more than 70,000 volunteer editors come together to make free
knowledge a reality. Every hour, 36,000 people view Wikipedia articles from
all over the world. Every second, more than 100,000 HTTP requests hit
Wikimedia’s servers. In the Wikimedia Foundation’s Research team, we
leverage this large-scale data to understand and empower people around the
world to share in the sum of all knowledge.

As a research scientist at the Wikimedia Foundation, you will work with
researchers, software engineers, designers, and volunteers to design, test
and evaluate new technologies. You will produce empirical insights to
inform the organization’s and the movement’s efforts towards our strategic
direction—to become the platform that serves open knowledge to the world
and to empower all people to access and contribute to free knowledge. You
will turn research questions into publicly shared, reproducible knowledge
and work with a team that is strongly committed to principles of
transparency, privacy and collaboration. You will use and develop free and
open source technology and collaborate with researchers in the industry and
academia.
*Responsibilities*

As a research scientist with our team, you will:

   - Conduct research involving experimental design, labeled data
   collection, large-scale data analysis and data mining, statistical modeling
   as well as the application and online/offline evaluation of machine
   learning methods
   - Contribute to the design, execution, and communication of research
   projects
   - Discuss, document and share the process and results of your research
   publicly
   - Actively engage in a collaborative, consensus-oriented environment and
   as part of a globally-distributed organization

*Requirements*

   - PhD or MSc degree plus related work experience in computer science,
   statistics, or related technical fields; PhD degree highly preferred
   - Experience in Machine Learning and at least one of the following
   fields: Natural Language Processing, Algorithm Design, Social Network
   Analysis, HCI, Behavioral/ Experimental Economics, Computational Social
   Science
   - Programming experience in Python, Scala, R, or C++
   - Contributions to research communities and research initiatives
   including publishing in relevant conferences and journals, organizing
   academic workshops

*This will set you apart*

   - A portfolio of open source research or programming projects
   - Relevant work experience, in academia or industry
   - Experience with large-scale experiments in online platforms
   - Experience with mixed methods research
   - A strong record of scholarly publications
   - Experience with tools such as Spark, Flink, Hive, Kafka
   - Experience editing Wikipedia or other Wikimedia projects


* The Wikimedia Foundation is... *

...the nonprofit organization that supports Wikipedia and the other
Wikimedia free knowledge projects. Our vision is a world in which every
single human can freely share in the sum of all knowledge. We believe that
everyone has the potential to contribute something to our shared knowledge,
and that everyone should be able to access that knowledge, free of
interference. We host the Wikimedia projects, build software experiences
for reading, contributing, and sharing Wikimedia content, support the
volunteer communities and partners who make Wikimedia possible, and
advocate for policies that enable Wikimedia and free knowledge to thrive.
The Wikimedia Foundation is a charitable, not-for-profit organization that
relies on donations. We receive financial support from millions of
individuals around the world, with an average donation of about $15. We
also receive donations through institutional grants and gifts. The
Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization
with offices in San Francisco, California, USA.

*The Wikimedia Foundation is an equal opportunity employer, and we
encourage people with a diverse range of backgrounds to apply*

*Benefits & Perks **

   - Fully paid medical, dental and vision coverage for employees and their
   eligible families (yes, fully paid premiums!)
   - The Wellness Program provides reimbursement for mind, body and soul
   activities such as fitness memberships, baby sitting, continuing
   education and much more
   - The 401(k) retirement plan offers matched contributions at 4% of
   annual salary
   - Flexible and generous time off - vacation, sick and volunteer days,
   plus 19 paid holidays - including the last week of the year.
   - Family friendly! 100% paid new parent leave for seven weeks plus an
   additional five weeks for pregnancy, flexible options to phase back in
   after leave, fully equipped lactation room.
   - For those emergency moments - long and short term disability, life
   insurance (2x salary) and an employee assistance program
   - Pre-tax savings plans for health care, child care, elder care, public
   transportation and parking expenses
   - Telecommuting and flexible work schedules available
   - Appropriate fuel for thinking and coding (aka, a pantry full of
   treats) and monthly massages to help staff relax
   - Great colleagues - diverse staff and contractors speaking dozens of
   languages from around the world, fantastic intellectual discourse,
   mission-driven and intensely passionate people

* for benefits eligible staff, benefits may vary by location


-- 
Jonathan T. Morgan
Lecturer, Human Centered Design & Engineering
University of Washington
jm...@uw.edu
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