Data Scientist with No Experience

Data Engineer with No Experience

Details

What you'll bring:

• Strong mathematical foundation and hands-on experience in Exploratory Data Analysis (EDA).
• Proficiency in Python and related data science libraries (pandas, numpy, sklearn, matplotlib, keras, tensorflow, seaborn, pillow, opencv, etc.).
• Good understanding of key data science fields such as Computer Vision, NLP, Generative AI, and Recommendation Systems.
• Familiarity with end-to-end project pipelines, from data preparation and modeling to deployment.
• Solid database foundation (SQL, NoSQL, Vector databases).
• Basic knowledge or practical exposure to Generative AI frameworks (LangChain, Huggingface, OpenAI) and experiment tracking (MLflow).
• Familiarity with deployment and containerization (FastAPI, Docker) and an interest in cloud services.
• Proficiency in spoken and written English.
• Proactive, dedicated, and passionate attitude aligned with our company culture.

Benefits of working in our team:

• Working on a large number of different projects (which includes working with different technologies).
• Expanding knowledge and enhancing your proficiency in existing technologies.
• Getting to know different teams from various countries and meeting diverse organizational cultures which will open up possibilities for your personal development.
• Full team support to help you join the company culture, fit in, and bond with others.
• You will have full career support and guidance from your Development Lead.
• Full team support to help you sharpen your technical skills.
• You will have a chance to work with experienced tech mentors and receive full support on any technical subject you wish to explore/learn.

What's in it for you?

• A psychologically safe environment for all employees. Regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, or any other characteristic. This is one of the core values of our company culture. Something we have been tirelessly working on for years.
• Work in a transparent and flat organizational structure.
• Private health insurance ー with the option to include your family or partner in your policy.
• In-house lectures and paid training programs.
• Paid foreign language courses.
• The ability to convert your overtime hours into additional day(s) off.
• FitLife program, including paid training.
• Team-building events and travel opportunities.
• A Privilege Card offering various benefits.
• Subsidized daily meals at the company.
• Fresh seasonal fruits and refreshments available every day.
• Inclusion of your family or partner in company activities.