Senior ML-Engineer, Finance

About the Role

The role is part of a dynamic, collaborative environment where every task matters, and team members are encouraged to share knowledge, strive for excellence, and support one another. With a primary client base in the US, Canada, UK, and Australia, and a product development team spanning multiple countries, this position offers the opportunity to work in a diverse, international setting.

What You Will Do

• Build a market intelligence database through collecting, enriching, and modeling data to analyze and score potential clients.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an 'Is this website for fundraising?' binary classifier to distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries and third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in the internal database for accessibility and utility across the team.
• Collaborate closely with the sales team to understand qualification criteria and refine scoring models accordingly.
• Analyze disqualified accounts in Salesforce to identify exclusion patterns and adjust the scoring model.
• Deploy the scoring model and integrate its outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites for the correct implementation of Fundraise Up tools across their properties.

What We Are Looking For

• 5+ years of experience in ML/DS, with a focus on solving real product problems.
• Strong expertise in machine learning and mathematics.
• Experience with Salesforce and Excel.
• Ability to work in a fast-paced, dynamic environment with a high level of autonomy.
• Strong English language skills (C1 level required).
• Experience with data scraping, enrichment, and modeling.
• Knowledge of nonprofit sector dynamics and trends.

Nice to Have

• Experience with SimilarWeb and Facebook data integration.
• Knowledge of web development principles and technologies.
• Experience with international nonprofit registries.
• Certification in machine learning or data science.

Benefits and Perks

• Opportunity to work with a leading fundraising platform.
• Collaborative, international team environment.
• Professional development and growth opportunities.
• Flexible, remote work arrangements.
• Access to cutting-edge technologies and tools.
• Competitive compensation package.
• Health and wellness programs.
• Generous paid time off.

• Ensure your portfolio includes projects that demonstrate your ability to collect, enrich, and model large datasets for client intelligence purposes.
• Highlight any experience with Salesforce and Excel in your application, as these are key skills for the role.
• Research Fundraise Up's mission and the nonprofit sector to understand the company's goals and how your skills can contribute to its success.
• Be prepared to discuss your approach to building and deploying ML models in a production environment during the interview process.
• Consider reaching out to current or former employees to gain insight into the company culture and role expectations.
• Prepare examples of how you've handled data quality issues and developed robust filtering pipelines in previous roles.
• Familiarize yourself with the tools and technologies mentioned in the job description to show your readiness to adapt and learn.