Data Scientist
- PASHA Bank
-
Elanın qoyulma tarixi: 10.11.2020Vakansiyaya müraciət tarixi bitmişdir.
İşin təsviri
Extract, clean and process raw data
• Extract data from multiple sources (structured and unstructured data both from internal and external sources: transaction data, client business information, credit bureau data, etc.)
• Prepare structured and unstructured data (cleaning, wrangling, editing)
Turn raw data into valuable insights
• Interpret and analyze data from multiple sources to produce imaginative solutions and insights
• Develop new models to improve bank's products and processes (selected model examples: risk scoring, propensity models, client segmentation, etc.)
• Analyze different models and propose improvements to existing models to come up with best for product
• Combine models through ensemble modeling
Translate insights to impactful recommendations
• Collaborate closely with engineering and product development teams
• Present information using data visualization techniques
• Present models to the key stakeholders, explain them in a digestible way
Knowledge, experience and skills required:
• Bachelors' / Masters' degree in quantitative discipline (e.g., statistics, mathematics or econometrics, physics or any related field)
• Strong problem-solving and decision-making skills
• 2+ years of professional experience using statistical computer languages - at least one of the following: Python (incl. libraries Pandas, NumPy, scikit-learn, Scipy, TensorFlow) or R
• 2+ years of professional experience with programming languages and data analytics instruments (SQL, Alteryx or other)
• Knowledge of machine learning and statistical learning techniques and experience in their usage
• Understanding of broad banking issues and analytics usage in banking
• Excellent written and verbal communication and skills for coordinating across teams
• A drive to learn and master new technologies and techniques
• Fluent in Azerbaijani and English, both verbal and written; working knowledge of Russian would be considered as an advantage
• Professional experience in banking is a plus, but not obligatory
Interested Candidates please send your CV to [email protected] indicating “Data Scientist” in the subject line of your message. Otherwise, your candidacy will not be considered.
