
We are looking for a skilled and experienced Senior Data Scientist to join our client’s team and contribute to their data analytics and product insights initiatives. In this role, you will work closely with product and engineering teams to ensure robust data validation, create insightful dashboards, and analyze user behavior to support strategic business decisions.
Our client is a well-established technology-driven organization that develops innovative solutions for managing large-scale data flows and user interactions. Focused on delivering reliable and scalable systems, they empower seamless communication and engagement across a broad user base. This is an excellent opportunity to join a team that values technical excellence, collaboration, and continuous improvement.
About Akvelon
🌎Akvelon is an American company with offices in Seattle, Mexico, Ukraine, Poland, and Serbia etc. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.
Key Responsibilities:
- Collaborate with product and engineering teams to ensure data is correctly warehoused and accessible.
- Design and maintain reporting dashboards to monitor top-line metrics and conduct deep-dive analyses into specific areas of interest.
- Analyze experiment results, identify user behavior trends, and generate actionable hypotheses to explain changes.
- Develop data assets such as new tables and self-service dashboards to empower team members with critical insights.
- Migrate key dashboards to Looker, optimize ETLs, and enhance the team’s data warehousing infrastructure.
Requirements:
- 5+ years of industry experience in data science or a related quantitative field (e.g., product analytics).
- Proficiency in SQL.
- Hands-on experience with Hex and Looker.
- Strong knowledge of data warehouses and ETLs.
- Familiarity with statistical analysis and programming languages like R or Python (preferred).
Overlap time requirements – Full day overlap with PST Time Zone
Working conditions and benefits:
- Paid vacation, sick leave (without sickness list)
- Official state holidays — 11 days considered public holidays
- Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
- Flexible working schedule: 8 hours per day, 40 hours per week
- Personal Career Development Plan (CDP)
- Employee support program (Discount, Care, Health, Legal compensation)
- Paid external training, conferences, and professional certification that meets the company’s business goals
- Internal workshops & seminars
- Corporate library (Paper/E-books) and internal English classes
Looking for an exciting career? Apply now and become part of our success story 🚀