About Kindsight:
Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest charitable giving database on the market. And as the giving sector evolves, so does Kindsight. As the leader in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors - at any scale. With purpose-built CRMs that corral all of that donor information and campaign tracking into one place, donor prospect research tools that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the game for donor fundraising.
Position Summary:
As a Data Scientist/Senior Data Scientist , you will drive our predictive analytics innovation. Your primary goal will be to design, build, and deploy new predictive models across our entire product suite, including iWave, Ascend, and AdvancementRM.
The ideal candidate is adept at building and exploiting large datasets to develop new machine learning and predictive models for SaaS products. You will have strong experience using a variety of methods (regression, random forest, XGBoost, etc.), using a variety of data tools, building, and implementing models, using/creating algorithms and creating/running simulations. You will need to be comfortable working with a wide range of stakeholders and functional teams. You will have a passion for discovering solutions hidden in large data sets and working with users to understand their needs.
We’re hiring at two levels for this role. The level (Data Scientist or Senior Data Scientist) will be determined based on experience, scope and demonstrated impact.
What You’ll Do:
- Build Predictive Models: Design and implement machine learning models to predict donor behavior, giving capacity, and engagement propensity across all Kindsight products.
- Maximize the Value From Client and Third-Party Data: Evaluate the wide-range of data gathered from clients and current third-party vendors to identify new metrics and insights using existing data.
- Identify New Data Collection Opportunities: Identify additional data that could be collected within each product to develop stronger predictive models.
- Benchmarking: Design new metrics to benchmark client fundraising potential and performance.
- Partner with Head of AI: In close collaboration with our Head of AI, build agents and generative AI that leverages new predictive model results to fuel fundraising efforts.
- For Sr Level, in addition to the above; Architect & Mentor: Lead the design of scalable ML pipelines and mentor junior data scientist on best practices in statistical modeling and experimental design.
About You:
- Intermediate Experience: At the junior level, 3+ years of data analytics, data science, and machine learning experience.
- Senior Experience: 6+ years of data analytics, data science, machine learning experience, and preferably management experience. Experience working in Agile environments, with a strong understanding of Scrum principles.
- Technical Acumen: Mastery of Python or R to clean, structure, and model data. Preferably, experience with AWS.
- Problem Solving: Strong, detail-oriented problem solving skills and ability to work independently.
- Excellent Communicator: Strong written and verbal communication skills with a focus on internal communication across teams.
Bonus Points:
- Familiarity with Salesforce
- Familiarity with CRMs, ERPs, or fundraising technology.
Compensation Range: $110k-$175k CAD base annually, plus bonus, based on experience, market benchmarks, and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market.
This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.
We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.
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