Data Science Manager
Job Description
We are searching for a passionate and experienced Data Science Manager to lead our talented team of data scientists in Berlin. In this pivotal role, you will be responsible for driving the development and implementation of machine learning models that significantly impact our business outcomes, particularly in the areas of credit scoring, fraud detection, and collections. You will leverage your expertise in data science and machine learning to create scalable, real-time decision-making systems that enhance our product offerings. Your leadership will not only involve managing your team but also engaging in hands-on technical work, ensuring that your contributions are felt across the organization. You will collaborate with cross-functional teams, including product, engineering, and compliance, to align on strategies that prioritize innovative, data-driven solutions. Your ability to translate complex business challenges into actionable insights will be instrumental in scaling our impact and delivering high-quality, machine learning-based solutions to millions of customers across Nigeria and beyond.
Key Responsibilities
As a Data Science Manager, you will oversee a variety of critical tasks to ensure the success of your team and the projects you lead.
- Manage and mentor a team of data scientists, fostering a culture of collaboration and innovation
- Lead the design, development, and deployment of machine learning models for diverse applications including credit scoring and fraud detection
- Collaborate closely with product and engineering teams to seamlessly integrate models into production systems
- Analyze complex datasets to extract actionable insights that inform strategic business decisions
- Monitor the performance of deployed models to ensure they meet business objectives and comply with regulatory standards
- Communicate findings and recommendations effectively to senior leadership and other stakeholders
- Continuously enhance model performance and team capabilities by staying updated on industry trends and emerging technologies
Required Technical Skills
Soft Skills
Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
- Experience in credit risk modeling, fraud detection, or financial services is highly desirable
Language Requirements
Programming Languages:
Python, SQL
Spoken Languages:
English, German
Benefits & Perks
- ✓ A dynamic and supportive work environment with a diverse team
- ✓ Pension plan
- ✓ Career development opportunities
- ✓ Generous annual leave and bank holidays
- ✓ Paid time off for parental leave, birthdays, and study leave
- ✓ Group life insurance
- ✓ Medical insurance
- ✓ Wellness package for special occasions
- ✓ Employee wellness app
- ✓ Award-winning learning and development training
- ✓ Advocacy for work-life balance with a hybrid work schedule
Working Conditions
Full Time
Company Culture
Our culture is built on inclusivity, collaboration, and a shared mission to make financial services accessible and rewarding for everyone. We value diversity and encourage personal and professional growth, fostering an environment where innovative ideas can flourish.
Salary Range
Project Types: Not Available
Career Growth: Leadership development programs, Mentorship opportunities, Project ownership and responsibility