We’re looking for a Senior Data Scientist with proven experience in conceptualizing, building, and deploying data science & machine learning solutions. You will work closely together with the Credit Underwriting, Product, and Technology departments to conduct research, build prototypes, discover ways to improve our product offering, make a better risk assessment and deliver scalable data-driven tools.
Your Responsibilities:
Develop systems and practices that enable us to leverage cutting-edge data mining and machine learning techniques.
Work on building and improving our credit scoring algorithms based on traditional, non-traditional as well as text data for various financial products.
Conduct research and build prototypes of data science solutions that aim at increasing the level of Underwriting automation.
Drive data science initiatives in cooperation with the Credit Underwriting team in order to generate expert knowledge and theoretical foundations for the next generation of credit scoring models.
Help to establish efficient, automated processes for model development and validation.
Be responsible for the implementation and continuous development of data science best practices within the company.
Qualifications:
A BSc or MSc in an applied quantitative discipline e.g., Machine Learning, Artificial Intelligence, Data Science, Computer Science, Mathematics, or Statistics.
Strong programming skills.
Experience with statistical techniques and tools in python or R.
Team player and an intellectually curious self-starter.
Proven experience in Data manipulation. Database skills in any major database language.
Practical knowledge in applying data science & machine learning techniques and can demonstrate experience in prototyping and productionizing data-driven products.
Has a proven track record of working in a dynamic work environment in a cross-functional team.
Able to communicate complex data solutions across the company - you can articulate experiment goals and methodologies clearly, and communicate insights in an easily accessible way to the team.
(Plus) Experience working in the financial industry, especially performing statistical modeling and credit scoring on different financial products such as loans, credit lines, cash advances, etc. (consumer or business products).
Benefits:
Flexible work hours
Remote working (2 days in a week)
Supplementary health insurance
Game and relaxation room
Employee loan
معرفی شرکت
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