Senior Data Scientist

Ignite Reading

1d•$174,000 - $174,000•Remote

About The Position

Ignite Reading's mission is to teach every kid to read — and turning data into decisions is one of the most powerful ways the organization advances that work. In service of that goal, the Senior Data Scientist supports our partner-facing teams (Partnerships/Sales, Marketing, CX) as the Data & Analytics team's primary practitioner of advanced analytics, statistics, predictive modeling, and machine learning. This role is a senior individual contributor who applies DS/ML to generate actionable insights for the business, directly shaping how the organization acquires, retains, and grows partnerships with school districts nationwide. This person brings meaningful AI fluency to the team, using Claude, Cursor, and related tools to accelerate analytical workflows and build agentic workflows and Skills that extend the team's capacity. This role reports to the Senior Manager of Partner Analytics and works in close partnership with the broader Data & Analytics team. It is an exceptional opportunity for someone who wants to see their work make a real difference that changes lives.

Requirements

6-8+ years of demonstrated on-the-job experience across the entire ML lifecycle, building and deploying in production the kinds of models this role requires: churn prediction, propensity/upsell scoring, health scores, lead scoring, media mix modeling, or closely analogous work.
Strong quantitative foundation: proficiency in statistical modeling, experimental design, and analytical methods applied to real business problems.
Highly proficient in SQL and Python for data manipulation, analysis, and modeling.
Meaningful hands-on experience building agentic workflows, Claude Skills, or LLM-based automations using Claude, Cursor, or equivalent generative AI tools to accelerate analytical and ML workflows on the job.
Familiarity with AI operational practices (prompt libraries, guardrails, output validation) that enable consistent and reliable AI-assisted work.
A natural mentor and collaborator; a strong communicator who can explain complex technical concepts clearly to varied audiences.
A self-starter who works independently, persists until the job is done, and stays calm and resourceful in a high-growth, startup-like environment.
Passionate about our mission to teach kids to read.

Nice To Haves

Experience with student or education data and familiarity with PII handling requirements.

Responsibilities

Design and deliver end-to-end predictive models (including partner churn prediction, lead scoring, and partner health scores), translating complex business questions into rigorous, production-ready analytical solutions.
Develop and maintain attribution, marketing mix models and other marketing analytics frameworks that inform resource allocation and campaign strategy.
Apply statistical methods to identify leading indicators, drivers, and patterns across partner data; communicate findings and trade-offs clearly to technical and non-technical stakeholders.
Own the full ML lifecycle, from problem framing and feature engineering through model training, validation, deployment, and monitoring, ensuring models remain accurate, interpretable, and maintainable over time.
Establish and uphold repeatable standards for model development, documentation, and validation that enable consistent, trustworthy DS/ML output across the team.
Identify opportunities to apply ML and data science techniques to new business problems and proactively surface recommendations to leadership.
Build and deploy agentic workflows and Claude Skills that automate analytical and modeling tasks, accelerate DS/ML development, and extend the team's capacity.
Evaluate and recommend emerging AI tools and techniques relevant to data science and analytics.
Act as an AI resource and mentor for the broader analytics team, modeling effective AI-assisted development practices and actively contributing to a shared culture of AI literacy.
Partner closely with Sales, Marketing, and CX stakeholders to understand business context, identify and execute high-value analyses, and translate complex model outputs into clear, actionable insights and business narratives that directly shape organizational strategy and operations.
Bring structure, documentation, and process discipline to ambiguous technical domains, ensuring work is reproducible and knowledge is shared.

Benefits

Employee Stock Options
Medical, Dental, and Vision plans (80% employee coverage, 70% dependent coverage)
Short-term Disability (100% employer paid)
401(k) retirement plans with company contribution
12-weeks paid parental leave
Unlimited vacation days
12 paid holidays
Technology Stipend
Wellness Stipend
Voluntary Life Insurance
Professional Development Stipend