Senior Data Scientist

CUJO AI; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

CUJO AI is seeking a data-driven machine learning Specialist to advance product development and operations. You will develop ML methods, analyze large datasets, and collaborate with cross-functional teams to turn experimental results into production features.

The role emphasizes Python programming, ML/statistical methods, SQL querying, and clear communication to stakeholders. Hybrid or remote options are available for suitable candidates.

Qualifications

• Strong problem-solving skills focused on product development.
• Extensive Python programming experience.
• Experience developing and applying machine learning and statistical methods, such as regression, clustering, decision trees, or neural networks.
• Experience querying databases with SQL.
• Strong written and verbal communication for cross-functional work and presentations.

Responsibilities

• Work with teams across the organization to identify opportunities to improve services.
• Present research findings so stakeholders can make informed business decisions.
• Collaborate across functions to move ideas from experimentation into production.
• Analyze large datasets to detect suspicious anomalies and failures.
• Develop processes and tools for measuring algorithm performance.

Skills

Python programming

Machine learning

SQL

Problem solving

Communication

Tools

AWS ecosystem

Job description

Role overview

Develop machine learning methods and supporting tools, and analyze organizational data to improve products and day-to-day operations. The work combines applied research, production implementation, anomaly investigation, and collaboration with teams that use the findings to make decisions.

Responsibilities

• Work with teams across the organization to identify opportunities to improve services.
• Present research findings so stakeholders can make informed business decisions.
• Collaborate across functions to move ideas from experimentation into production.
• Analyze large datasets to detect suspicious anomalies and failures.
• Develop processes and tools for measuring algorithm performance.

Requirements

• Strong problem-solving skills focused on product development.
• Extensive Python programming experience.
• Experience developing and applying machine learning and statistical methods, such as regression, clustering, decision trees, or neural networks.
• Experience querying databases with SQL.
• Strong written and verbal communication for cross-functional work and presentations.

Nice to have

• Experience or interest in building tools within the AWS ecosystem.

Benefits and work setup

• Hybrid or remote arrangements are available for candidates located in Hungary.