Data Scientist

Who are we?

Our business is technology, food and retail. We are a young team that combines all resources with technology; Our goal is to provide an excellent e-commerce service to meet your needs. In short, you can call us Migros One. 😉

Our Culture

We are #ONE to create a better tomorrow for our community. Our way of working includes four core values that we strive to act:

1. Take accountability with passion

2. Drive innovation with curiosity

3. Make a difference for our customers

4. Create open communication

What Do We Do?

As Migros One; We spread happiness in being the pioneer of innovation in the field of food and retail technology with our brands Migros Sanal Market, Migros Hemen, Migros Extra, Migros Yemek, Migros One Kitchen, Macroonline, Tazedirekt and Mion!

Our determination to find fast and effective solutions always keeps us one step ahead. Our team's passion and energy make their jobs enjoyable.

Thanks to our people-oriented approach, we aim to create a more comfortable and practical world for everyone by using them all. We constantly strive to provide the best experience to our consumers and employees!

As Migros One team, we get excited with every member of our team creating his/her own career story!

If you would like to be a part of this visionary and tech-savvy e-commerce team, don’t wait! Make your application!

We are looking for Data Scientist who will be on our team

Job Description

• Communicate with various levels of management on a business and technical level,
• Build/improve ML/DL models to solve complex problems, get actionable insights and drive business decisions,
• Perform statistical analysis and/or data mining methods to discover hidden patterns and relations in data to answer business questions,
• Develop and deploy ML models and pipelines that scale to create business value,
• Employ the appropriate algorithms to discover customer behavior, marketing channel attribution and customer product preferences, etc.,
• Work with related parties to bring ML and statistics solutions to our business partners.

Qualifications

• Bachelor degree in a quantitative discipline (e.g., Computer Science, Industrial Engineering, Engineering, Operations Research, Statistics, Mathematics etc.) or equivalent practical experience
• Min. 2 years of work experience in data related field
• Experience with Python and related data science toolkit.
• Experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
• Experience with SQL
• Knowledge about developing and deploying machine learning applications and tools.

Preferred Qualifications

• Master degree in a quantitative discipline
• Min. 2 years of experience in data science or machine learning engineer.
• Experience with developing and deploying machine learning applications and tools
• Work experience with recommender systems
• Work experience with DL
• Familiarity with working with bigdata
• Work experience with unstructured data such as text and image
• Familiarity with cloud technologies especially AWS
• Effective communication skills
• Intellectual curiosity and ability to handle multiple projects and challenging deadlines,
• Strong analytical, interpersonal and communication skills.