Senior Data Scientist
ParentSquare
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $143,000 - $175,000 per year
Job Level
Senior
Tech Stack
AWSPythonSQL
About the role
- 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.
Requirements
- 3+ years of experience in data science, data engineering, data analytics, or similar fields
- 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!
- Bachelor’s degree in a technical or quantitative field (e.g. Computer Science, Statistics, Mathematics) or equivalent practical experience
Benefits
- 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!
- Fully remote team with all necessary tools and equipment for home office.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencedata engineeringdata analyticsPythonSQLmachine learning algorithmsregressiongradient boosted treestopic modelingLLMs
Soft skills
communicationcollaborationtrainingdocumentationstakeholder managementproblem-solvingdata adoptionmetrics definitionperformance trackinginternal expertise
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in StatisticsBachelor’s degree in Mathematics