
Senior Data Scientist
Constructive Dialogue Institute
full-time
Posted on:
Location Type: Remote
Location: New York • United 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