Remote Data Science Team Lead

Description:

• 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 include:
  • Building and refining ML models for credit scoring, fraud detection, marketing strategies, and customer behavior analytics.
  • Managing AI initiatives, including integrating external AI services.
  • Overseeing the lifecycle of ML models, from concept to deployment, including quality assurance, recalibration, and performance monitoring.
  • Leading and developing the DS team through hiring, training, and performance management.
  • Collaborating with risk, collection, and business teams to align DS projects with organizational needs.
  • Facilitating communication and prioritizing tasks to meet stakeholder expectations.
  • Managing tools and processes such as Git, Jira, Confluence, and Agile workflows.
  • Ensuring data reliability and stability through collaboration with DWH teams and feature-store administration.
  • Driving integration and optimization of new and existing data sources.
  • Maintaining comprehensive project documentation and implementing best practices.
  • Overseeing knowledge-sharing initiatives, including Confluence updates, Git documentation, and internal training.
  • Staying ahead of industry trends and methodologies, introducing innovative tools and processes.

Requirements:

• Technical: Proficiency in Python, SQL, and ML techniques such as regression, classification, boosting, and NLP/LLM.
• Tools: Experience with PowerBI, Excel, Tableau, Git, and AWS (preferred), along with MLOps experience.
• Soft Skills: Strong team leadership, excellent communication skills, agile expertise, and risk analytics experience (preferred).
• Language: Fluency in English is required.
• Preferred Qualifications include:
  • An 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:

• This position offers a flexible and completely remote full-time role.
• You will have the opportunity to work in an innovative fintech company with a global reach.
• The role includes engaging tasks and the chance to influence the development of cutting-edge products.
• You will have the opportunity to grow your skills in a global, distributed team environment.