Join Shakepay as a Senior Data Scientist – Drive Product Success Remotely!
🚀 Join Shakepay as a Senior Data Scientist – Work Remotely, Full-Time!
Are you passionate about data and want to make a real impact on product decisions? Shakepay is looking for a talented Senior Data Scientist to join our team. You will help us understand our users better, improve our products, and drive growth using smart data analysis. This is a full-time remote job with a competitive salary, perfect for someone who loves solving problems with data.
As a Senior Data Scientist at Shakepay, you will work closely with product managers, engineers, and business teams. You will build models, create reports, and share insights that guide important decisions. We want someone with strong skills, good communication, and a passion for learning new tools and techniques.
August 11, 2025
September 30, 2025
Remote / Full-Time
📄 Job Description
📝 Requirements
- Strong knowledge of data analysis, statistics, and machine learning.
- Experience with Python, SQL, and data visualization tools like Tableau or Power BI.
- Ability to communicate insights clearly to non-technical team members.
- Familiarity with product management and agile development is a plus.
- Self-motivated and comfortable working remotely.
- At least 3 years of experience in a data scientist or similar role.
🚠️ What You Will Do
- Analyze product usage data to identify opportunities and risks.
- Build predictive models to improve user engagement and retention.
- Create dashboards and reports for leadership and product teams.
- Collaborate with engineers and product managers to drive data-informed decisions.
- Continuously learn and implement best data science practices.
🏢 About Shakepay
📝 How to Apply
Note: Shakepay is an equal opportunity employer. We never ask for private information like passwords or keys.
❓ Frequently Asked Questions
Q1: Is this job fully remote?
Yes, you can work from anywhere with a good internet connection.
Q2: What is the salary?
The salary is competitive and based on your experience.
Q3: Do I need a lot of experience?
We require at least 3 years in data science or related fields.
Q4: What tools will I use?
Mainly Python, SQL, and data visualization tools like Tableau or Power BI.