Statement of duties
Managing a team of data scientists
• Detailed planning (incl. schedules, deadlines and key milestones) and resource allocation for analytical projects
• Set tasks for data scientists, supervise their work with hands-on involvement in model development
• Train and provide hands-on (coding) guidance for the team members
• Support data science team recruitment
Building analytics models
• Interpret and analyze data from multiple sources (structured and unstructured data both from internal and external sources: transaction data, client business information, credit bureau data, etc.) to produce imaginative solutions and insights
• Prepare structured and unstructured data (cleaning, wrangling, editing), ensure data quality and integrity
• Develop new models to improve bank's products and processes (selected model examples: risk scoring, propensity models, client segmentation, etc.)
Translate insights to impactful recommendations
• Communicate with the Members of the Executive Board: understand, translate and map strategic priorities into analytical projects
• Collaborate closely with engineering and product development teams
• Present models to the key stakeholders; explain them in a digestible way
Knowledge, experience and skills required:
• Bachelor's/Master's degree in quantitative discipline (e.g., statistics, mathematics or econometrics, physics or any related field)
• 2+ years of professional experience in managing a team of data scientists (setting tasks, organizing and scheduling work, building and developing the team)
• 2+ years of professional experience in building machine learning models in banks including their deployment in production systems to drive real business impacts
• Successfully completed projects using data analysis and machine learning technologies
• 4+ years of professional experience using statistical computer languages and excellent knowledge of data analysis and machine learning libraries (at least one of the following: Python (Pandas, NumPy, scikit-learn, Scipy, TensorFlow) or R)
• 4+ years of experience with additional programming languages and data analytics instruments (SQL, Alteryx and other)
• Advanced knowledge of machine learning, statistical and data mining techniques and strong experience in their usage
• Understanding of broad banking issues and analytics usage in banking
• Excellent written and verbal communication skills for coordinating across teams
• Fluent in Azerbaijani and English, both verbal and written; working knowledge of Russian would be considered as an advantage
Interested Candidates please send your CV to [email protected] indicating “Lead Data Scientist” in the subject line of your message. Otherwise, your candidacy will not be considered.