Data Analytics & Data Science Specialist

Aydınlı Haz.Gıy. A.S.; Sarıyer; On-site; TRY 180,000 - 280,000; Full time

Job summary

Aydınlı Group is seeking a Data Analytics & Data Science Specialist to translate business needs into analytics solutions. You will work with large datasets, build models, and implement optimization methods for planning and allocation in a fashion retail context.

The role emphasizes collaboration across teams, model validation, and ongoing performance monitoring, with strong Python and SQL skills and English proficiency.

Qualifications

• Bachelor's degree in a quantitative field as listed.
• Minimum 3 years of professional experience in data analytics, data science, or related fields.
• Strong hands-on experience in data analysis, modeling, and algorithm development using Python.
• Advanced proficiency in T-SQL / Microsoft SQL Server, with ability to write complex queries and handle large datasets.
• Experience in data preparation, feature engineering, analytical modeling, model validation, and performance evaluation.
• Strong knowledge in statistical modeling, machine learning, and optimization techniques.
• Ability to translate business requirements into analytical problems and evaluate solution approaches.
• Proven end-to-end ownership of at least two projects from data prep to deployment.
• Ability to evaluate model performance using appropriate metrics within business constraints.
• Excellent communication skills and English proficiency.

Responsibilities

• Analyze business requirements across functions, especially product planning, allocation, and e-commerce, and develop analytics solutions.
• Prepare, analyze, and transform large datasets for modeling using Python and T-SQL.
• Design and develop models with statistical, ML, optimization, and rule-based approaches.
• Develop optimization models and decision-support systems for allocation and planning.
• Build analytics for forecasting, segmentation, classification, and recommendations.
• Evaluate model performance and ensure applicability under real-world conditions.
• Collaborate with cross-functional teams to integrate solutions into processes.
• Monitor deployed models and implement enhancements.
• Stay updated with emerging analytics methodologies and technologies.

Skills

Python

SQL (T-SQL)

Data analytics

Data science

Machine learning

Optimization

Feature engineering

Model validation

Communication

End-to-end ownership

Education

Bachelor's degree in Computer Engineering

Bachelor's degree in Industrial Engineering

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Bachelor's degree in Data Science

Tools

T-SQL / Microsoft SQL Server

Job description

DATA ANALYTICS & DATA SCIENCE SPECIALIST

As the master license holder of the globally renowned Pierre Cardin, Cacharel, and U.S. Polo Assn. brands, Aydınlı Group is one of Türkiye’s leading fashion retail companies, employing more than 5,000 people and operating 682 retail stores, including 400 in Türkiye and 282 internationally. The company also exports to more than 60 countries worldwide.

Would you like to become part of Aydınlı Group—an industry-leading organization committed to delivering high-quality service, embracing universal values, promoting environmentally responsible production, and operating with a customer-centric approach in line with global standards while showcasing the strength of Turkish design and manufacturing to the world?

JOB DESCRIPTION

• Analyze business requirements across various functions, particularly product planning, allocation, and e-commerce, and develop appropriate data science and analytics solutions,
• Manage the preparation, analysis, and transformation of large datasets for modeling purposes using Python and T-SQL,
• Design and develop models and algorithms using statistical modeling, machine learning, optimization, and rule-based approaches based on the nature of business problems,
• Develop optimization models, decision-support systems, and intelligent algorithms for allocation and planning processes,
• Build analytical solutions for forecasting, segmentation, classification, recommendation systems, and other business needs,
• Evaluate and optimize the performance of developed models and algorithms using appropriate metrics, ensuring their applicability under real-world business conditions,
• Collaborate with cross-functional teams to integrate developed solutions into existing systems and business processes,
• Monitor the performance of deployed models and algorithms, identify improvement opportunities, and implement necessary enhancements,
• Stay up to date with emerging analytical methodologies and technologies, evaluating and applying relevant innovations to business challenges.

QUALIFICATIONS

• Bachelor's degree in Computer Engineering, Industrial Engineering, Statistics, Mathematics, Data Science, or a related quantitative field,
• Minimum 3 years of professional experience in data analytics, data science, or related fields,
• Strong hands-on experience in data analysis, modeling, and algorithm development using Python,
• Advanced proficiency in T-SQL / Microsoft SQL Server, with the ability to write complex queries and efficiently work with large datasets,
• Experience in data preparation, feature engineering, analytical modeling, model validation, and performance evaluation,
• Strong theoretical knowledge and practical experience in statistical modeling, machine learning, and optimization techniques,
• Ability to translate business requirements into analytical or mathematical problems, identify appropriate solution approaches, and evaluate alternative methodologies,
• Proven experience in taking end-to-end ownership of at least two projects, covering problem definition, data preparation, model or algorithm development, results evaluation, and integration into business processes,
• Ability to evaluate, compare, and optimize model and algorithm performance using appropriate metrics while assessing feasibility within business rules and operational constraints,
• Strong analytical thinking, problem-solving, and research skills,
• Excellent communication skills, with the ability to clearly explain technical concepts and developed solutions to different business stakeholders,
• Good command of written and spoken English.