Data Scientist

We are a leading fintech company specializing in providing innovative financial solutions using advanced technologies. We are seeking a highly motivated and skilled Data Scientist to join our data-driven team. The ideal candidate will have a passion for turning data into actionable insights to solve complex business problems and drive the company’s growth.

Job Summary:

As a Data Scientist, you will work with various datasets, develop predictive models, and collaborate with cross-functional teams to deliver data-driven insights. You will use machine learning, statistical analysis, and other quantitative techniques to provide business solutions, optimize decision-making, and contribute to product innovation.

What you will do:

• Analyze datasets of structured and unstructured data to derive insights that will drive business strategies.
• Build, deploy, and maintain machine learning models to solve business challenges in risk assessment, fraud detection, customer retention, and more.
• Collaborate with product managers, risk analysts, and business teams to understand their goals and deliver data-driven solutions.
• Take responsibility for the full lifecycle of a predictive model including data selection, model training, evaluation, deployment, monitoring, and retirement.
• Perform A/B testing and design experiments to evaluate new features or product offerings.
• Utilize various tools and libraries (e.g., Python, R, SQL, etc.) to extract, process, and analyze data.
• Ensure data quality and implement data governance best practices.
• Present findings and recommendations to stakeholders in a clear and actionable manner.
• Stay updated with industry trends, emerging technologies, and data science techniques to continuously improve processes and methodologies.

What you will need:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Engineering, or a related field. A PhD is a plus.
• Minimum 2-5 years of professional experience as a Data Scientist, Data Analyst, or in a similar role, preferably in the fintech or financial services sector.
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, tree boosting, etc.).
• Experience with deploying models for production is a plus.
• Experience with assessing model and variable stability (e.g., PSI metrics).
• Proficiency in SQL for querying databases and manipulating data.
• Familiarity with cloud platforms (Azure, AWS or GCP) and ML related tools therein is a plus.
• Experience with any containerization (Docker, Kubernetes or similar), event streaming (Kafka, Azure Event Hubs or similar) or API development (FastAPI, Flask or similar) tools is a huge plus.
• Strong problem-solving skills and a strategic mindset.
• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Ability to work in a fast-paced environment with cross-functional teams.
• Attention to detail and commitment to delivering high-quality solutions.

What we offer:

• Competitive salary and performance-based bonuses.
• Health and wellness benefits.
• Opportunities for professional development and continuous learning.
• Flexible working hours and remote work options.
• Collaborative and inclusive company culture.