DataKind

👥 11-50💰 $2,000,000 over 8 years agoArtificial Intelligence (AI)Big DataAnalyticsData Visualization💼 Private Company
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DataKind is a global non-profit leveraging data science and AI for social good. Our flagship product, the Student Success Tool (SST), helps educational institutions predict student graduation likelihood, providing crucial insights for targeted support. We're making a tangible impact on educational outcomes, as highlighted in the New York Times, and are rapidly expanding our reach to support more institutions. Our work extends beyond SST; we partner with organizations to develop data-driven solutions for various humanitarian challenges. DataKind operates a remote-first culture, fostering collaboration across multiple global chapters. We utilize a tech stack including Java EE, Google Analytics 4, and various cloud services, emphasizing a data-driven approach in our engineering practices. Our commitment to human-centered design ensures solutions are ethical, effective, and inclusive. Our values prioritize equity, collaboration, and measurable impact. We're building a diverse and inclusive team, committed to creating a positive social impact through data. With a team of 11-50 employees and a history of successful partnerships, including support from Omidyar Network, DataKind is poised for significant growth. We're expanding our education portfolio and aiming for 115 active users of our SST by 2026. If you're passionate about using technology to address societal challenges and thrive in a collaborative, mission-driven environment, DataKind may be the place for you. DataKind's work has been featured in prominent publications such as the New York Times and Fast Company, showcasing our dedication to leveraging data science for positive social impact.

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📍 United States

💸 106000.0 - 120000.0 USD per year

🔍 Nonprofit

  • 3+ years of professional work experience in developing and deploying a machine learning product at scale
  • Foundational understanding of machine learning and statistical methods for predictive modeling
  • Expert in Python
  • Experience with cloud computing (GCP preferred)
  • Experience with databases (SQL, Postgres, PySpark, and/or other data query languages)
  • Experience with DataBricks or a similar data intelligence platform
  • Experience with data warehousing, orchestration, integration, and ETL tools
  • Experience with modern source code management and software repository systems (i.e. Git)
  • Experience documenting and implementing RESTful APIs
  • Design, build, test, and maintain machine learning pipeline architectures (70%)
  • Produce high-quality, reusable code for data ingestion, validation, and processing pipelines
  • Architect and implement end-to-end ML pipelines including training, retraining, and inference systems for schools using the SST
  • Design and build APIs to easily access, integrate, and manage data from different sources
  • Ensure data infrastructure is in compliance with data governance and security policies
  • Create comprehensive documentation for data infrastructure and ML pipelines, tailored for both technical and non-technical stakeholders
  • Advance internal analytics reporting and automation capabilities as needed
  • Provide direct data support to partners (15%)
  • Manage initial data lifecycle processes for new school onboarding including ingestion, transfer, audit, and validation
  • Collaborate with data platform partners on integration and data transfer pipelines
  • Provide technical guidance to partners on how to share data formatted in alignment with our data model and with appropriate data governance measures
  • Address partner concerns regarding data security and ensure their specific requirements are satisfied
  • Support data science initiatives through processing, cleaning, and analyzing data as needed
  • Collaborate and contribute across DataKind (15%)
  • Support other data team members through code reviews and knowledge sharing across products
  • Collaborate with the Product, Engineering, and Research teams to ensure seamless integration and alignment of work
  • Effectively communicate project status and manage expectations with internal teams and partner organizations
  • Maintain accurate and current project information in project management tools like Asana

PostgreSQLPythonSQLApache AirflowCloud ComputingETLGCPGitMachine LearningAPI testingData engineeringRESTful APIsData visualizationData modelingData management

Posted 11 days ago
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📍 United States

💸 150000.0 - 170000.0 USD per year

🔍 Data Science

  • PhD in Education, Data Science, Information Systems, or related field
  • 8+ years of experience in research education leadership roles, preferably in higher education technology and 3+ years experience managing teams of researchers
  • Established portfolio of published research and speaking engagements
  • Proven success leading multi-stakeholder research initiatives
  • Deep understanding of higher education data systems and student success initiatives
  • Exceptional writing skills with ability to produce high-quality publications under deadline pressure
  • Demonstrated success overseeing a research team in order to meet deadlines and objectives
  • Strong network within higher education and/or education technology sectors
  • Lead Landscape Analysis: Spearhead comprehensive research that identifies critical integration needs and opportunities in higher education data systems
  • Drive Thought Leadership: Publish authoritative white papers, journal articles, and thought pieces that frame the problem space and position DataKind's approach
  • Design Experimentation Frameworks: Apply research insights to prototype testing, feature iteration, and market readiness assessments
  • Develop Measurement Strategies: Establish KPIs to assess impact and inform strategic decision-making
  • Represent DataKind: Share insights at conferences, policy forums, and industry events to foster engagement with thought leaders
  • Build Strategic Partnerships: Cultivate relationships with academic leaders, policymakers, and industry partners to support system integration initiatives
  • Lead a Research Team: Hire, manage, and mentor a Research Scientist and Research Coordinator to scale impact and ensure project success
  • Translate Complex Findings: Transform technical research into compelling narratives that engage stakeholders, funders, and product teams

LeadershipProject ManagementAgileData AnalysisMachine LearningPeople ManagementContent creationData scienceStrategic ManagementAnalytical SkillsCollaborationProblem SolvingExcellent communication skillsResearchWritingData visualizationTeam managementStakeholder managementStrategic thinkingResearch skillsData modeling

Posted 13 days ago
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