Data Scientist - Getir
View Company Profile- Job Title
- Data Scientist
- Job Location
- Istanbul, Istanbul, Türkiye
- Job Description
Hi there 👋
Getir is the pioneer of ultra-fast delivery. By bringing together great technology with a unique operational model, we were the first to introduce the concept of groceries being delivered to your door in minutes.
Great technology is developed by great people, and that’s why we’re looking for talented technologists to join our team.
About This Position
We are looking for an experienced Data Scientist to develop and deploy machine learning solutions that drive impactful, data-driven insights across the delivery domain. This role combines hands-on model development with opportunities for strategic input, allowing you to tackle real-world challenges through advanced data science. The ideal candidate will be skilled in machine learning, deep learning, and model deployment, applying these techniques to a wide range of applications such as forecasting, risk scoring, sentiment analysis, and more. You will work collaboratively to ensure these solutions are seamlessly integrated into our systems with a focus on scalability and performance.
🛠 What you'll bring 🛠- Bachelor’s degree in Computer Science, Computer Engineering, or a related field. A Master’s degree is a plus, preferably completed or close to completion.
- 2-3 years of hands-on experience in machine learning and model deployment.
- Strong proficiency with Python and SQL.
- Experience with machine learning libraries like scikit-learn, xgboost/lightgbm/catboost, PyTorch, and/or TensorFlow.
- Developing and maintaining services using frameworks such as FastAPI.
- Previous experience working with GPS and IoT data, experience in deep learning architectures such as LSTMs and GNNs, hands-on experience in large language models (LLMs), including fine-tuning and RAG implementation, are strong plus.
- Interest in applying research methodologies to practical, business-focused solutions.
- Excellent communication skills with the ability to collaborate effectively within cross-functional teams.
Your Responsibilities
- Develop, fine-tune, and deploy machine learning models for diverse use cases (e.g., forecasting, risk scoring, sentiment analysis).
- Apply and optimize machine learning and deep learning models.
- Collaborate with cross-functional teams to build and deploy machine learning pipelines and APIs.
- Develop scalable models to support tasks such as natural language understanding, forecasting, and risk analysis.
- Explore academic research methodologies and adapt them to solve business-oriented challenges.
You as a Getirian
You are a good person first, everything else is secondary. You are a champion of growth, and actively strive to be the best version of you, for yourself and your team. You value diversity and embrace ideas over hierarchy. You aren't afraid to learn and re-learn at Getir speed. You are an initiator, in charge of your own story and your legacy.
Benefits- Once-in-a-career opportunity to make an impact in one of the fastest-growing mobile-commerce businesses in the world.
- Take charge of your own career growth with us through professional development opportunities! We really mean it when we say that upward and sideways mobility are some of our favorite terms.
- Health insurance (family included)
- Meal card
- Competitive salary
Diversity makes us stronger. Our diverse cultures, backgrounds, beliefs, values, abilities, and lifestyles help us learn from each other. We’re proud to strive for a genuinely diverse and inclusive workplace. We know we can do better though. That’s why we hire and promote people with equity and equality in mind.
We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.
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Getir Company Size
Between 20,000 - 50,000 employees
Getir Founded Year
2015
Getir Total Amount Raised
$1,792,999,936
Getir Funding Rounds
View funding detailsSeries E
$768,000,000 USD
Series D
$555,000,000 USD
Series C
$300,000,000 USD
Series B
$128,000,000 USD
Series A
$38,000,000 USD
Convertible Note
$4,000,000 USD