[Hiring] Data Scientist @TrueSense Marketing

Role Description

We're hiring a Data Scientist I to build predictive models and analyses that help nonprofits raise more money for their missions. Additionally, you will be responsible for laying out test design and measurement. You'll report to the SVP of Analytics and work alongside analysts who know our donor data well.

This role suits someone early in their career, roughly 1–3 years of experience or a recent graduate with strong project work. You'll get real problems, real data, and room to grow into a senior data science role.

What you'll do

• Build and maintain the models and analyses that guide our clients' fundraising, with support from senior team members.
• Turn analysis into insight. Answer client and internal questions with clear findings and recommendations that account managers and strategists can act on.
• Apply sound methods for testing. Document and follow repeatable approaches for modeling, testing, and validation so results hold up and others can reuse them.
• Improve our tools and models. Look for ways to automate recurring analysis and try new techniques, including AI, that make the team faster or more accurate.
• Work with digital data. Bring online giving, email, web, and paid media data into models and analyses alongside direct mail results.
• Collaborate. Work with analysts, data engineers, and product teams on data structures and new analytics offerings.
• Measure your work. Track how well models perform once in use, and report on it.

Qualifications

• Bachelor's degree in statistics, data science, math, economics, computer science, or a related field, or equivalent practical experience.
• 0–3 years of experience in data science or analytics (internships, capstones, and portfolio projects count).
• Working knowledge of Python (pandas, scikit-learn or similar) for data prep and modeling.
• Comfort writing SQL to pull and join data from a relational database or warehouse.
• Grounding in statistics: regression, classification, sampling, and A/B or incrementality testing.
• Ability to explain results in plain language to non-technical colleagues, including the strategists and client service partners you'll work with across teams.
• Strong business sense: you start from the decision an analysis needs to support and what it's worth to the client, not just whether the model is technically sound.
• Attention to data quality: you check your numbers before you share them.

Strongly preferred

• Experience with at least one digital platform and the data it produces will set you apart.
• Hands-on work with data from a digital platform, such as web analytics (Google Analytics), paid media (Meta, Google Ads), email marketing, or online giving / donation platforms.
• Understanding of digital metrics and how they're tracked: sessions, conversions, attribution, click-through, cost per acquisition.
• Experience joining digital data to offline or CRM data to see the full donor journey.
• Familiarity with Snowflake, Tableau, or Git.
• Interest in nonprofits, fundraising, or direct-response marketing.

Benefits

• Mentorship from experienced analysts and the SVP of Analytics.
• A modern stack: Snowflake, Python, Tableau, and AI tools.
• A clear path toward senior data scientist as you take on more ownership.
• Work that directly supports nonprofit missions.

Salary

$100,000–$115,000 per year

Location

Remote