[Hiring] Data Science Team Lead @Renmoney

Renmoney; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

A leading innovative fintech company is hiring a Data Science Team Lead for a remote full-time role. This position requires expertise in ML, team leadership, and relevant experience in banking/fintech. Join a dynamic team focused on delivering state-of-the-art data-driven solutions.

Benefits

Flexible and completely remote full-time role

Opportunity to work in an innovative fintech company

Engaging tasks with development of cutting-edge products

Skill growth in a global, distributed team

Qualifications

• Experience in fintech and banking, especially in emerging markets.
• Expertise in ML for text, speech, and behavioral analytics or dynamic models in card business.
• Proven experience with AI-tools.

Responsibilities

• Build and refine ML models for credit scoring and fraud detection.
• Lead the Data Science team through hiring, training, and performance management.
• Manage tools and processes such as Git, Jira, and Agile workflows.

Skills

Python

SQL

Machine Learning techniques

Team leadership

Excellent communication

Agile expertise

Risk analytics experience

Education

Educational background in mathematics, machine learning, or statistics

Tools

PowerBI

Excel

Tableau

Git

AWS

MLOps experience

Job description

Jun 11, 2025 - Renmoney is hiring a remote Data Science Team Lead. Location: Georgia, Russia, Kazakhstan.

We are seeking a Data Science Team Lead with expertise in banking/fintech to lead a high-performing DS team. This position combines advanced ML knowledge, team leadership, and cross-functional collaboration to drive data-driven solutions in scorecard development, portfolio risk management, and model performance monitoring.

Key Responsibilities:

1. Advanced ML Development and Deployment:

• Build and refine ML models for credit scoring, fraud detection, marketing strategies, and customer behavior analytics.
• Manage AI initiatives, including integrating external AI services.
• Oversee the lifecycle of ML models, from concept to deployment, including quality assurance, recalibration, and performance monitoring.
• Team and Stakeholder Management:

• Lead and develop the DS team through hiring, training, and performance management.
• Collaborate with risk, collection, and business teams to align DS projects with organizational needs.
• Facilitate communication and prioritize tasks to meet stakeholder expectations.
• Process and Tool Optimization:

• Manage tools and processes such as Git, Jira, Confluence, and Agile workflows.
• Ensure data reliability and stability through collaboration with DWH teams and feature-store administration.
• Drive integration and optimization of new and existing data sources.
• Knowledge and Standards Management:

• Maintain comprehensive project documentation and implement best practices.
• Oversee knowledge-sharing initiatives, including Confluence updates, Git documentation, and internal training.
• Stay ahead of industry trends and methodologies, introducing innovative tools and processes.

Requirements

• Technical: Python, SQL, ML techniques (regression, classification, boosting, NLP/LLM)
• Tools: PowerBI, Excel, Tableau, Git, AWS (preferred), MLOps experience
• Soft Skills: Team leadership, excellent communication, agile expertise, and risk analytics experience (preferred)
• Language: Fluent English

Preferred Qualifications:

• Educational background in mathematics, machine learning, or statistics
• Proven experience in fintech and banking, particularly in emerging markets
• Experience with AI-tools
• Expertise in ML for text, speech, and behavioral analytics or dynamic models in the card business.

Benefits

• Flexible and completely remote full-time role
• The opportunity to work in an innovative fintech company with a global reach
• Engaging tasks and the chance to influence the development of cutting-edge products
• The opportunity to grow your skills in a global, distributed team environment.