Analyze large-scale structured and unstructured data from multiple sources
Build products using AI, ML, and advanced statistical techniques from basic financial analysis to complex machine learning models
Propose new methods to detect anomalies, optimize conversions, and provide business insights through data
Design, analyze, and interpret the results of experiments
Find hidden patterns and relationships in data using statistical analysis and data mining techniques to answer business concerns
Collaborate with product, engineering, and risk teams to translate business challenges into data science problems
Apply ML-Ops best practices; improve models and infrastructure to optimize model performance
Communicate complex data outputs to business-oriented and non-technical audiences
Requirements
Bachelor's degree in computer science, information technology, industrial engineering, mathematics or statistics
5+ years experience in data science or machine learning engineering
Strong analytical thinking and 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 take initiative
SQL knowledge is a must
Multi-disciplinary and cooperative ability to solve problems across finance, marketing, sales, product development and user experience
Knowledge of developing workflows to deploy machine learning models (ML-Ops)
Experience working within financial regulations is a plus
Scientific approach for experimentation and rapid prototyping
Ability to present ideas, insights, and solutions clearly
Interest in cutting-edge AI products and experience with Llama, GPT, Gemini
Benefits
A culture of continuous development: conferences, in-house events & Tech Talks
Online Training Platform (Free access to Udemy, Harvard ManageMentor, Get abstract, etc.)
Flexible working model (iyzico Homequarters) with homequarters in Altunizade
Meal & Internet Allowance
Transportation Allowance
Gift voucher for tech needs and ergonomic home workspace
Macbook (and monitor if needed)
Employee support program: free psychological counseling, legal advice, financial advice
Private health insurance
1 day birthday leave
Assigned iyzicoMate for onboarding support
Detailed orientation program
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysismachine learningstatistical techniquesdata miningPythonSQLML-Opsscikit-learnTensorFlowPyTorch
Bachelor's degree in computer scienceBachelor's degree in information technologyBachelor's degree in industrial engineeringBachelor's degree in mathematicsBachelor's degree in statistics