Remote Data Scientist

Summary

Join FairMoney, a pioneering mobile banking institution, as a Data Scientist to develop data science-driven algorithms and applications to improve decisions in business processes like risk and debt collection.

Requirements

• Strong background in Mathematics / Statistics / Econometrics / Computer science or related field
• 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain
• Being best friends with Python and SQL
• Hands-on experience in handling large volumes of tabular data
• Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to a specific business problem
• Feeling confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression)
• Being at home building and deploying models around credit risk, debt collection, fraud, and growth
• Track record of designing, executing and interpreting A/B tests in business environment
• Strong focus on business impact and experience driving it end-to-end using data science applications
• Strong communication skills
• Being passionate about all things data

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Use predictive modelling to increase and optimize customer experiences, revenue generation, and other business outcomes
• Coordinate with different functional teams to make the best use of developed data science applications
• Develop processes and tools to monitor and analyze model performance and data quality
• Apply advanced statistical and data mining techniques in order to derive patterns from the data
• Own data science projects end-to-end and proactively drive improvements in both data

Benefits

• Paid Time Off (25 days Vacation, Sick & Public Holidays) to all B2B contractors and employment staff
• Family Leave (Maternity, Paternity)
• Training & Development budget
• Paid company business trips (not mandatory)