Constructive Dialogue Institute

Senior Data Scientist

Constructive Dialogue Institute

full-time

Posted on:

Location Type: Remote

Location: New YorkUnited States

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Salary

💰 $135,000 - $145,000 per year

Job Level

About the role

  • Own CDI’s research and analytics data infrastructure, including core data models, schemas, documentation, data quality checks, and analysis-ready datasets.
  • Build and maintain data pipelines using reproducible ETL/ELT practices, producing standardized, analysis-ready datasets from key sources.
  • Lead the rebuild and modernization of CDI’s analytics and reporting layer as part of a platform and data transition.
  • Design, build, and maintain dashboards, recurring reporting, and self-serve tools for both internal teams and partner-facing deliverables.
  • Establish and steward trusted metric definitions, documentation, and governance practices across reporting and research workflows.
  • Co-lead the data and evaluation work for our AI dialogue coach, including building the measurement, reporting, and analysis workflows needed to assess learner experience, safety and appropriateness, reliability, and outcomes.
  • Support quantitative data preparation, analysis, and reproducible code workflows for efficacy and impact studies.
  • Partner cross-functionally with colleagues on the Research & Evaluation team, as well as those from Implementation, Operations, and Product/Technical teams.

Requirements

  • 6+ years of relevant professional experience in data science, analytics engineering, data engineering, or a similarly hybrid role.
  • Strong hands-on experience with SQL, Python, and R.
  • Experience building and maintaining data pipelines and reproducible workflows that other people rely on.
  • Experience working in cloud-based data environments, including AWS.
  • Experience designing and maintaining dashboards, recurring reporting, and BI tools for nontechnical users.
  • Experience using Git and documentation/testing practices to make data work maintainable and reproducible.
  • Strong judgment about data quality, metric definition, and governance.
  • Prior experience using AI tools in data science workstreams.
  • Comfort working with messy, ambiguous data problems and translating them into clear deliverables.
  • Ability to develop practical measurement approaches for new or evolving features, tools, or interventions.
  • Strong written and verbal communication skills, especially with nontechnical internal collaborators.
  • Experience working cross-functionally with stakeholders from multiple teams.
Benefits
  • Unlimited PTO
  • 13 company holidays
  • Remote Work Support — up to $500 reimbursed for home office equipment (like desks, chairs, or webcams) and up to $50/month reimbursed for home internet or cell phone expenses
  • employer-supported health, vision and dental plans
  • subsidized parental leave
  • 3% 401k match
  • short- and long-term disability insurance
  • life and AD&D insurance
  • $1,000 annual professional development budget
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonRETLELTdata pipelinesdashboardsdata quality checksdata modelingquantitative data analysis
Soft Skills
strong judgmentcommunication skillscross-functional collaborationproblem-solvingorganizational skillsleadershipdocumentation practicesgovernance practicesadaptabilityanalytical thinking