Data Scientist

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October 31

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Liaison

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B2B • SaaS • eCommerce

Liaison is an online platform that allows users to easily create professional forms, surveys, and workflows using a drag-and-drop interface. With over 100 customizable templates and various question types, users can design forms for registrations, customer surveys, and lead generation. The platform also provides real-time results with email notifications, integrates with numerous third-party services, and supports payment processing through popular services like PayPal and Stripe.

501 - 1000 employees

Founded 1992

🤝 B2B

☁️ SaaS

🛍️ eCommerce

📋 Description

• Build, update, and maintain predictive machine learning models for higher education institutions in collaboration with the Data Curation team • Utilize Python and internal testing frameworks to identify improvements to modeling heuristics, validate outputs, and implement enhancements at scale • Perform client-specific analyses and provide actionable recommendations based on predictive results • Translate technical findings into clear, meaningful insights for stakeholders (both written and verbally) • Review and monitor client data updates to ensure accuracy of predictions • Collaborate with product, client success, and sales teams to align data science work with institutional and business goals • Research and explore emerging AI/ML technologies to identify opportunities for incorporating advancements into the pipeline • Automate or help automate as many manual data and modeling related activities as possible • Demonstrate a curious, growth-oriented mindset with a drive to experiment, learn, and continuously improve

🎯 Requirements

• Bachelor’s degree in math, computer science, business analytics, or another relevant field required (advanced degree preferred). • Proficiency in Python for data analysis, machine learning, and feature engineering • Experience with a variety of machine learning algorithms and model evaluation techniques • Familiarity with version control (Git/GitHub) and collaborative coding practices • Ability to translate technical findings into client-friendly insights both verbally and in writing • Experience collaborating directly with stakeholders to set expectations and explain modeling approaches • Willingness to assist other team members and drive innovation to improve personal and team-wide efficiency and growth • Proven success in independently troubleshooting and resolving modeling and data-related issues • Strong methodological approach to debugging, model validation, and root cause analysis • Capacity to manage multiple projects or tasks at once including setting and communicating appropriate timelines, prioritization, and risk or updates throughout the life of the project • Desire to deliver outputs/deliverables with accuracy and attention to detail • Willingness to take full responsibility and accountability for all assigned clients and outputs.

🏖️ Benefits

• Health insurance • Retirement plans • Professional development • Flexible work arrangements