Middle Data Scientist

Elm, Texnologiya və Mühəndislik
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Bu gün
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CV yüklə (doc, docx, pdf)

İşin təsviri

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 2+ years of professional experience as a Data Scientist or in a similar data-focused role.
  • Strong proficiency in Python and experience with data analysis and machine learning libraries.
  • Strong SQL skills and hands-on experience with MySQL, PostgreSQL, and ClickHouse.
  • Practical experience working with Data Warehouses (DWH) and large-scale datasets.
  • Hands-on experience in developing, evaluating, optimizing, and maintaining Machine Learning models.
  • Experience with ML model deployment and productionization is highly desirable.
  • Experience with Airflow for data and ML pipeline orchestration.
  • Experience with Git and collaborative software development practices.
  • Experience with Power BI and Tableau, including dashboard development and data visualization.
  • Understanding of ETL/ELT processes, data pipelines, and data engineering concepts.
  • Strong analytical, problem-solving, and communication skills.
  • Experience in online payments, financial services, banking, or FinTech is an advantage.

Job Responsibilities

  • Develop, evaluate, optimize, and maintain Machine Learning models for business and product-related use cases.
  • Perform data analysis and exploratory data analysis to identify trends, patterns, business opportunities, and potential risks.
  • Work with large datasets and complex data sources to prepare, transform, and analyze data for analytical and ML use cases.
  • Design and implement data preparation and feature engineering pipelines for Machine Learning models.
  • Work closely with the Data Warehouse (DWH) and analytical data infrastructure, including ClickHouse, PostgreSQL, and MySQL.
  • Develop and maintain Airflow pipelines for data processing, model scoring, and ML workflows.
  • Contribute to ML model deployment and automation of model scoring and related workflows.
  • Monitor model performance and contribute to model optimization, retraining, and lifecycle management.
  • Use Git for version control and collaborate with other team members on data and ML projects.
  • Prepare and maintain technical documentation for Machine Learning models, data pipelines, methodologies, and analytical processes.
  • Build analytical dashboards in Power BI and Tableau when required, enabling clear visualization of data, insights, trends, and business KPIs.
  • Translate business requirements into data-driven solutions and analytical models.
  • Collaborate with Data Analysts, Data Engineers, Product, Business, and other stakeholders to deliver data-driven solutions.
  • Continuously improve existing analytical processes, ML models, pipelines, and reporting solutions.

Work schedule: 5 days a week, 09:00-18:00

To apply, please send your CV to parvina@goldenpay.az with the name of the vacancy.

Applications will be evaluated based on the requirements of the vacancy and selected candidates will be contacted.

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