استخدام Senior Data Scientist
شرح موقعیت شغلی
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:
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
مهارتهای مورد نیاز
- Data science
- Python
- SQL
- NoSQL
- TSQL
حداقل سابقه کار
- سه تا شش سال
جنسیت
- مهم نیست
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