Senior Data Scientist

ParentSquare is a rapidly growing Santa Barbara-based company that’s changing the way schools and parents communicate every day. Sound simple? We strive to keep it that way! Our mission is to give schools the power to incredibly enhance family engagement for all students. ParentSquare and RemindHub, our flagship products, serve over 22 million students and drive our mission by providing unified communications tools -forms, sign ups, payments, RSVPs, direct messaging, language translations, chat and more. Remind Chat, our free product, reaches over 80% of K-12 students, providing a safe and easy-to-use platform for direct communication between teachers and families. And our latest innovation, SmartSites, offers state-of-the-art websites for school districts, enhancing their online presence and accessibility. 

We are not just creating a product; we are creating empowered educators and engaged parents to improve the lives of all students.  We are passionate advocates for our  customers and for our employees and we invite you to join us on this exciting journey.

We're looking for a Senior Data Scientist to help us understand our vast amount of data and drive our business forward. You'll be the go-to expert for turning complex business challenges into data-driven solutions that boost productivity and efficiency across the entire organization. This is a critical role where you'll partner with leaders across the company to build the data-powered tools that will shape our future.

• Partner with Teams: Work directly with departments like Finance, Customer Success, and Product to understand their data needs and deliver impactful solutions.
• Build and Deploy Solutions: Prototype and launch data-powered tools and automations, both for our customers and for the company.
• Champion Data Adoption: Create clear documentation, lead training sessions, and act as the internal expert to help teams more effectively use data tools within their workflows
• Measure and Optimize: Help us define key success metrics and track their performance.

• Proven success working in a high-growth SaaS or technology company
• Fluency in scripting languages like Python and data querying languages like SQL
• Experience working in analytics platforms (we use AWS tools like Sagemaker and QuickSuite)
• Experience with a variety of machine learning algorithms, such as regression, gradient boosted trees, and topic modeling
• Experience understanding and delivering on stakeholder needs, whether through an adhoc analysis or a company-level dashboard
• Experience with LLMs and other AI tools for analytics is a bonus!

• Experience: 3+ years of experience in data science, data engineering, data analytics, or similar fields
• Education: Bachelor’s degree in a technical or quantitative field (e.g. Computer Science, Statistics, Mathematics) or equivalent practical experience

You’ll get your foot in the door as our company continues to grow. We’re big believers in work-life balance and provide:

• Employer-paid health insurance (including dependent coverage)
• An employer-matched 401K retirement savings program from day 1 
• Paid Parental Leave
• Stock options
• Health + wellness reimbursements
• PTO that increases each year
• 16 paid holidays, including your birthday! 

As a fully remote team, we’ll make sure you have all the tools and equipment you need to make your home office a place where you can thrive. 

We're an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

The salary range for this role will be $143,000-$175,000, DOE.