Analyze large-scale structured and unstructured data from multiple sources,
Build products that make use of AI, ML, and advanced statistical techniques from basic financial analysis to complex machine learning models,
Come up with new ideas on the ways we detect anomalies, optimize conversions, and provide business insights through data,
Design, analyze, and interpret the results of experiments,
To find hidden patterns and relationships in data to provide answers to business concerns, do statistical analysis and/or data mining techniques,
Collaborate with product, engineering, and risk teams to translate business challenges into data science problems,
Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize model performance,
Ability to communicate complicated data outputs to audiences who are business-oriented and non-technical.

Bachelor's degree in computer science, information technology, industrial engineering, mathematics or statistics,
5+ years experience the related responsibilities like data science or machine learning engineering,
Strong analytical thinking and approach, hands-on experience with scientific computing languages and frameworks such as Python (e.g., scikit-learn, TensorFlow, PyTorch, Flask, h2o.ai),
Eager to research and apply new models and can take initiative,
SQL knowledge is a must,
Multi-disciplinary and cooperative ability to solve problems in diverse domains including finance, marketing, sales, product development and user experience,
Knowledge of developing workflows to deploy machine learning models and find new solutions to get processes better and faster,
Experience of working within the financial regulations is a plus,
Scientific approach for experimentation and rapid prototyping,
The ability to present ideas, insights, and solutions in a clear way,
Be interested in cutting-edge artificial intelligence products and be an early adopter who has experienced them before (Llama, GPT, Gemini).

A culture of continuous development: conferences, in-house events & Tech Talks to stay up-to-date on current research and technology. P.S.:You do not need to wait to get on the stage and share your expertise with you teammates and the community
Online Training Platform (Free access to Udemy, Harvard ManageMentor, Get abstract, etc.)
Freedom under responsibility is our common mindset. That’s how we designed our flexible working model called iyzico Homequarters. Our homequarters is in Altunizade.
Meal & Internet Allowance.
Transportation Allowance.
A gift voucher to meet tech needs and ergonomic workspace at home.
Macbook (and monitor if needed)
Employee support program: free psychological counseling, legal advice, financial advice etc.
Private health insurance,
1 day birth day leave.
An iyzicoMate is assigned to help you with anything you may need on your onboarding.
A detailed orientation program designed for you to fully grasp the iyzico culture

Senior Data Scientist

Key skills