Senior Data Scientist

🌎 Akvelon is a USA-based software engineering and consulting company with offices across the USA, Poland, Serbia, Mexico, and Ukraine. We partner with global technology leaders and Fortune 500 companies to build enterprise platforms, AI/ML solutions, cloud systems, and large-scale digital products.

Project Description:

We are hiring a Senior Data Scientist for a fast-growing US product company operating in the digital identity, authentication, and fraud prevention space.

The platform processes billions of requests annually and serves enterprise customers across fintech, banking, healthcare, e-commerce, gaming, payments, and marketplace industries.

The team is focused on building production-grade AI/ML systems that improve trust, security, authentication flows, and customer experience at massive scale. This role involves close collaboration with ML 
Engineers and Engineering teams on experimentation, model monitoring, production analytics, and data-driven decision making.

You’ll work in a high-impact environment where machine learning systems directly influence product performance, fraud prevention strategies, and customer experience optimization.

Responsibilities:

• Develop, validate, and optimize machine learning and statistical models
• Design experiments and evaluate model performance using rigorous statistical methods
• Collaborate with ML Engineers on deployment pipelines and production workflows
• Monitor deployed models for drift, reliability, and performance degradation
• Build dashboards and monitoring systems for ML observability
• Provide actionable business recommendations based on model performance
• Work with raw datasets and optimize data workflows together with Data Engineering teams
• Communicate findings to both technical and non-technical stakeholders
• Mentor team members and contribute to best practices for production ML systems

Requirements:

Must-have:

• 5+ years of commercial experience in Data Science / Applied ML
• Strong Python expertise (pandas, scikit-learn)
• Strong background in statistical modeling and experimentation
• Advanced SQL skills and experience with Snowflake
• Experience working with production ML systems
• Experience monitoring deployed ML models (drift, retraining, performance analysis)
• Proficiency with cloud platforms (AWS)
• Experience collaborating with ML Engineers and cross-functional teams
• Strong communication and stakeholder management skills
• Upper-Intermediate+ English
• Master’s or PhD in Statistics, Computer Science, Data Science, or related field
• (or equivalent experience).

Nice-to-have:

• PyTorch or TensorFlow
• GenAI / AI observability / telemetry systems
• Looker or similar BI/dashboarding tools
• API and deployment workflow knowledge
• Experience mentoring engineers or data scientists
• R, Java, or Go exposure

Working Conditions & Benefits:

• Paid vacation and sick leave
• Overlap with PST timezone through 10 AM PST
• Official state holidays — 9-11 public holidays per year
• Professional growth through challenging projects and the opportunity to master new technologies
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support programs (discounts, healthcare, legal assistance)
• Paid external training, conferences, and professional certifications aligned with business goals
• Internal workshops, seminars, and English classes
• Corporate library with paper and e-books

This position is not open to U.S.-based applicants.
 

Ready to work on production-grade AI systems with real business impact? Apply now and join our team.