Remote Senior Data Scientist - Sector Financiero/Bancario

Description:

• The position is for a Senior Data Scientist in the financial/banking sector.
• The role is available as a full-time position.
• Candidates can work in a hybrid environment if they live in Quito, Ecuador, or remotely if they are located in LATAM.
• The job involves designing and developing advanced supervised and unsupervised Machine Learning models to solve key business problems using cutting-edge algorithms.
• The role requires extracting actionable insights from large volumes of data through analysis, mining, and visualization techniques to support strategic decision-making.
• Candidates will process and transform complex data using tools like PySpark and SQL to ensure data quality and availability.
• The position includes optimizing data processes through innovative solutions that improve efficiency and reduce costs.
• The Senior Data Scientist will work closely with multidisciplinary teams, connecting technology and business to maximize the impact of their solutions.

Requirements:

• Candidates must have experience in fraud and cybersecurity.
• A minimum of 4+ years of advanced experience in Python and PySpark is required, with the ability to implement scalable solutions and work with Big Data.
• Solid knowledge in SQL, probability, and statistics is necessary, along with experience in data analysis and cleaning.
• Proficiency in developing Machine Learning models, applying both supervised (classification, regression) and unsupervised (clustering, dimensionality reduction) algorithms is essential.
• Candidates should have the ability to perform data mining and exploratory analysis, detecting patterns and opportunities for improvement.
• An analytical and results-oriented mindset is required, with skills to communicate findings to both technical and non-technical teams.

Benefits:

• The position offers a stable long-term contract.
• Continuous training opportunities are provided.
• Employees receive Private Health Insurance.
• The role allows candidates to work with some of the most talented software engineers from Latin America and the USA, engaging in challenging work and developing world-class software.