Applied Data Scientist

Location: Chicago, IL

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The Office of Evaluation focuses on designing, facilitating, and supporting the Foundation’s efforts to proactively measure, assess, learn, and use information for decision-making.

The Applied Data Scientist reports to the Managing Director of Evaluation and works with the Evaluation Team as well as program and department colleagues on data mining, modeling, analysis, interpretation, visualization, learning and use for informed decision-making. They will manage data and information activities in service of learning and informed decision-making as needed foundation-wide and/or in support of program or departmental work. Primarily, the data scientist will aim to support informed decision-making through the use of data and information analyzed in sophisticated ways, including the disaggregation of data for deeper, nuanced understanding of the context and the meaningfulness of foundation choices, efforts and contributions.

They will provide technical assistance around data and information use as requested by staff across the foundation. They will work closely with the Office of Evaluation’s Learning and Evaluation Officers on a number of projects using data sets including but not limited to: grantee and vendor demographic data, Center for Effective Philanthropy Grantee Perception Report survey data, data from grants management or evaluation systems/frameworks as well as primary data collected to support the foundation/program accountability as it relates to the Just Imperative including signed commitments or pledges.

The Applied Data Scientist will be called upon to deliver under pressure, and consistently produce high-quality work; build effective peer relationships throughout the Foundation; proactively work with other departments; anticipate potential issues and propose solutions; offer assistance and service to team members; and present ideas for improvement and be able to create a project plan to execute these improvements.

Job Description

Essential Duties and Responsibilities

  • Supporting prospective data informed decision-making learning opportunities that advance Foundation, program and departmental strategies and address information needs

  • Provide data and information to support background and contextual understanding related to identified learning needs

  • Provide data and information to support customized learning opportunities for staff across the Foundation

  • Participate in meetings between and among a range of Foundation staff and occasionally external partners or grantees for data informed decision-making learning purposes

  • Keep abreast of current events, developments, and issues in the field to maintain a balanced and objective perspective and approach to data, information, evaluation, and learning

  • Write with clarity for internal purposes

  • Build and sustain relationships with colleagues across the Foundation, and with leaders, actors, and organizations in relevant fields

  • Represent the Foundation at conferences and other public events, including as speaker or panel participant

Other Duties and Responsibilities

  • Serve on internal Foundation committees as appropriate

  • Perform other duties as assigned


  • Graduate training plus experience working as an applied data scientist, evaluator, policy professional, researcher, or practitioner in a relevant field

  • Solid grounding in data science, research and evaluation methods and trends; a strong grasp of relevant empirical research and theoretical literature; and a good understanding of the substance and dynamics of public policies relevant to the work of the foundation

  • Able to make effective connections among data, research, policy, and practice as it relates to understanding and measuring complex systems and systems change and change management

  • Excellent analytical and communications skills, including writing and public speaking

  • Experience in basic project management

  • Self-confident, collegial, and diplomatic, with an appreciation of the role of a grantmaking institution

  • Computer/IT literate, with a high level of comfort with new applications and basic computer science knowledge

  • Other essential skills include: effectiveness in interpersonal relations with a proven ability to work as part of a team; the ability to organize and convey problems and issues clearly and succinctly; ease with and openness to people who hold diverse views; and a talent for managing multiple tasks with significant initiative

Physical Requirements and Work Environment :

The position is based in Chicago, Illinois. The work environment is an office setting. Intermittent physical activities will include bending, reaching, sitting, and walking during working hours. The Learning Officer must be willing to travel occasionally. Reasonable accommodations may be made to enable a person with physical disabilities to perform the job.

*** Mention DataYoshi when applying ***

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