Data Scientist

We are looking for a Data Scientist for our client in the banking sector in Azerbaijan. Responsibilities Analyze complex and large-scale datasets to identify meaningful patterns, trends, and actionable business insights. Develop, validate, and deploy statistical models and machine learning solutions to address business and product challenges. Collaborate closely with product, engineering, business, and data teams to translate business needs into data-driven solutions. Design and conduct experiments, including A/B tests, to evaluate product improvements and support data-informed decision making. Build and maintain data science workflows covering data preparation, feature engineering, model development, evaluation, and monitoring. Apply appropriate statistical and machine learning techniques to forecasting, classification, recommendation, segmentation, and other analytical use cases. Communicate analytical findings and model outcomes clearly to both technical and non-technical stakeholders. Continuously evaluate and improve existing models, methodologies, and analytical processes to enhance accuracy, scalability, and business impact. Contribute to data science best practices, coding standards, documentation, and reproducible analytical workflows across the organization. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. 3+ years of professional experience in data science, machine learning, advanced analytics, or a related role. Strong proficiency in Python and experience with commonly used data science libraries such as Pandas, NumPy, Scikit-learn, and/or similar frameworks. Solid understanding of statistics, probability, machine learning algorithms, model evaluation, and experimental design. Hands-on experience with SQL and working with large, complex datasets in relational or analytical data environments. Experience with end-to-end machine learning workflows, from data preparation and feature engineering through model development, validation, and deployment. Familiarity with data visualization tools and the ability to present complex analytical findings in a clear and actionable manner. Experience working with cloud platforms, distributed data processing, or modern data/ML platforms is a plus. Strong analytical thinking, problem-solving, communication, and collaboration skills. Ability to work effectively in a fast-paced, cross-functional environment and translate business questions into practical data-driven solutions. Apply now, discover change and transformation together with Mirsis, the address of innovation! About Mirsis; Mirsis Information Technologies offers innovative and value-added product and service solutions for different sectors and businesses of all sizes in the field of information technologies. With its expert staff, it provides a wide range of services such as special projects, software development, consultancy, outsourcing, testing services, system continuity and management services. In addition, our company develops sensitive and high value-added products that make life easier and protect the economy by using new technologies through its R&D center. "Click here to read the information regarding the personal data that will be processed as part of your application."