Join LYNX B.V. as a Data Scientist and play a pivotal role in transforming complex data into actionable insights that drive financial innovation and strategic decision-making. This remote contract position offers the opportunity to work on advanced analytics projects in a fast-paced fintech environment.

LYNX B.V., a leading provider of online trading and investment services, is seeking a talented Data Scientist to join our innovative team. In this role, you will analyze large datasets from financial markets to develop predictive models, optimize trading algorithms, and uncover trends that enhance our platform's performance and user experience.

You will collaborate with cross-functional teams including traders, developers, and product managers to integrate data-driven solutions into our core operations. Responsibilities include designing and implementing data pipelines, conducting statistical analysis, and deploying machine learning models to support real-time decision-making.

Our company values a culture of continuous learning and agility, where your contributions will directly impact our growth in the competitive fintech landscape. If you are passionate about leveraging data to solve real-world problems in finance, we encourage you to apply for this exciting remote contract opportunity.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• Proficiency in Python, R, or SQL for data manipulation and analysis
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong knowledge of data visualization tools like Tableau or Power BI
• Familiarity with big data technologies (e.g., Hadoop, Spark)
• Excellent problem-solving skills and ability to communicate complex findings to non-technical stakeholders
• 3+ years of professional experience in data science or a similar role

• Competitive monthly salary range tailored to experience
• Flexible remote work arrangement with full support for home office setup
• Opportunities for professional development and certifications in data science
• Health insurance and wellness programs
• Generous paid time off and work-life balance initiatives
• Collaborative team environment with access to cutting-edge tools and technologies
• Potential for long-term contract extensions based on performance