Data Scientist- Python, SQL

• A Bachelor’s degree in Data Science or a quantitative field, such as Finance,
Computer Science, Economics, Mathematics or a similar technical discipline and 5+
years’ experience
in applying analytics, data engineering or data science; or
• Master’s Degree or PhD in Data Science or a quantitative field, such as Finance,
Computer
Science, Economics, Mathematics or a similar technical discipline and 2+ years’
experience
in applying analytics, data engineering or data science.
• Proficiency in working with SQL, Python across complex real world datasets
• Proficiency in using modern data visualization tools, such as Tableau, PowerBI or
similar.
• Experience deploying ML models using machine learning as a service platforms such
as
Amazon SageMaker, Google Cloud AI, and Microsoft Azur.
• Excellent written and verbal communication skills.
• Aptitude for critical thinking as it relates to complex problems and challenge
assumptions
in order to implement creative solutions.
• Experience applying data science consumer finance, fintech and other Financial
Industry domains.
• Familiarity with related disciplines such as consumer finance, project management,
user experience design, software development and digital marketing
• Experience in establishing data technology foundations for agile business
intelligence,
data lakes and data workbenches, and applied machine learning/AI.
• Experience with large-scale data analysis technologies (e.g. Relational and NoSQL
data stores, Spark framework, and cloud development in the AWS Ecosystem)
• Specializations and applied experience in the following areas:
o Consumer Credit and Risk Modeling