DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. Named one of Fast Company's 2017 top 10 innovative nonprofits, DataKind teams talented pro bono experts from academia and industry with visionary changemakers to collaboratively design innovative solutions to tough social challenges. We help social organizations apply their data to predictive analytics, machine learning algorithms, and AI needs in a way that both increases impact and prioritizes ethics.
- We are 20,000 strong: DataKind volunteers hail from almost every country across the world, representing a community of technologists and social change makers who believe in using data science and AI for a stronger planet and a more just and prosperous world.
- We have served 300+ projects around the world: From using satellite imagery to measure crop yields to automating the fight against hate speech online, our volunteer community has shown up to support a range of humanitarian needs around the world. Through this approach, illustrating what we call “the art of the possible,” these projects have resulted in more effective NGOs, more funding for social change organizations, and more awareness of the power (and pitfalls) of data science and AI in the social sector.
- People are at the center of our process: The most advanced machine learning algorithms are useless if they’re not designed for real people’s problems. DataKind celebrates human centered design principles that focus on the “why,” the “for whom,” and the “should we” long before we ever get going on the “what.”
- “AI for Good” will only succeed if it’s “AI for All”: We will continue our work until all people and all communities can use digital technology for the outcomes they want to see. We support not just the tech communities of today, but anyone in any community who wants to lead in how data technologies serve their needs fairly, with an emphasis on including individuals from groups that are historically underrepresented in technology or will be impacted by the intervention.
The Next Phase
DataKind has always known that we will not be able to combat all of the world’s looming challenges on the backs of individual, short-term projects alone. Thanks to generous long-term support from The Rockefeller Foundation and the Mastercard Center for Inclusive Growth, we are now focusing the DataKind network on issue areas, including improving health outcomes through community health workers and increasing economic resilience for all. We are looking for people to join us in this journey. You can read more about the new strategy here.
About the Center of Excellence
The Center of Excellence is DataKind’s newly-created, cross-discipline team of experts responsible for creating an ecosystem of excellence across all DataKind’s global network and programs. Our definition of excellence is embodied in our seven excellence pillars: quality, ethics, innovation, learning, impact, data, and collaboration. As the Center of Excellence expands over the next year, the team will build best practices, resources, and standardized processes for all DataKind projects conducted across the DataKind community, which includes all of our volunteers regardless of their affiliation with a Chapter. In the long term, the Center of Excellence will also be responsible for training volunteers and programs staff, measuring project and program outcomes, direct support on projects across the DataKind network, thought leadership on doing excellent data science for good work, experimentation in DataKind’s project work, and continuous improvement of DataKind programs processes and systems. This is an exciting opportunity to be a key part of shaping the Center of Excellence, reporting directly to the Senior Manager, Center of Excellence.
About the Opportunity
The Learning Associate will be responsible for facilitating learning and sharing knowledge across DataKind’s global network to ensure that all projects are executed with the highest quality standards, whether completed by staff members or by our volunteer base across the globe. The creation and dissemination of shared resources will allow us to surface what’s working best in one region so it can be used more broadly and make the delivery of a positive volunteer experience more consistent.
What You’ll Do
The Learning Associate will be responsible for the following in addition to any other project assigned by the manager:
- Support DataKind volunteers and staff in documenting and sharing their learnings
- Compile, organize, and structure learnings across projects
- Create resources based on learnings to ensure best practices are implemented across the organization
- Document DataKind’s programs, processes, and procedures
Training & Learning Facilitation
- Devise replicable, culturally competent, and engaging trainings that will be delivered synchronously and asynchronously
- Conduct trainings for volunteers and staff regularly across DataKind’s global network
- Work closely with volunteers and staff to determine the knowledge sharing and learning engagement process that is the best fit for all involved
How Your Success Will Be Measured
At the end of year 1, the Learning Associate will have accomplished the following:
- Established systems for and facilitated learning out loud and knowledge dissemination
- Supported DataKind volunteers and staff in documenting and sharing their learnings
- Compiled, organized, and structured learnings across projects
- Created resources based on learnings to ensure best practices are implemented across the organization
- Supported in conducting trainings for volunteers and staff across our global
- Strong alignment with DataKind mission and values, including:
- equity, inclusion, and continuous learning;
- collaboration across lines of difference (e.g. culture, skillset, or time zone); and,
- passion for equipping volunteers do top quality and ethical data science projects for social good organizations
- At least 1-3 years of professional experience, preferably in an international context and preferably in a data, knowledge sharing, or quality assurance role
- Strong detail orientation, writing, organization, and cross-cultural communication skills to allow for information synthesis and sharing
- Comfortable with training or teaching
- Ability to come up to speed quickly on technical topics required; conversant or experience in basic data science preferred
Why Work with DataKind
At DataKind, we believe that people are the most important asset to delivering on their mission to collaboratively design data-driven, innovative solutions to tough social challenges. Working with us means that you will have:
- Flexibility in your working schedule. This includes working from home, leaving early to care for kids, coming in late to walk your dog, etc. This also means that you have unlimited PTO.
- Access to an outstanding health plan. We pay 100% of medical, vision, and dental benefits for employees and contribute partially for spouse and dependent coverage.
- Support to plan for your future. We offer a 401(k) match up to 5%.
- Opportunities to learn and grow. Each year, we budget for each staff person to have ongoing professional development support.
Interested candidates should submit a resume and cover letter detailing their interest in our mission and qualifications for the position here.
DataKind is an Equal Opportunity Employer
Naturally, DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.
Applicants must be currently authorized to work in the United StatesApply