Senior Data Scientist
iyzico· Data
About this role
iyzico
iyzico was founded in 2013 to provide online payment services and artificial intelligence-based payment technologies to businesses of various sizes in the world of e-commerce. By making the complex payment processes simple through its easy and secure platform, iyzico had achieved significant successes through supporting thousands of businesses in digitalization and was acquired by the global payment systems giant PayU in 2019. With such a robust structure, iyzico is operating on the principle of democratizing financial services and making them accessible for everyone alongside the services it provides to businesses.
Through iyzico Buyer Protection, consumers’ concerns regarding shopping online are resolved and better experiences are enabled. Control is handed back to the consumers by 24/7 live support through the iyzico mobile app and convenience in cancellation/returns processes. To this date, more than 2 million consumers shopped online under the security provided by iyzico Buyer Protection and this number is increasing daily. Via pay with iyzico, which is a blended payment solution, millions of consumers who do not use banking can safely shop online under the belt of iyzico Buyer Protection.
iyzico continues to simplify online shopping for both consumers and sellers by the simple, accessible, and innovative technologies it developed.
Responsibilities:
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.
Qualifications:
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).
What We Offer
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
Frequently Asked Questions
Is the salary disclosed for the Senior Data Scientist position at iyzico?
The salary for this Senior Data Scientist role at iyzico is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Data Scientist position at iyzico located?
This Senior Data Scientist role at iyzico is based in Istanbul. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Data Scientist role at iyzico full-time or part-time?
This is listed as a Full time position. It is posted as a Senior Data Scientist role in the Data department at iyzico.
Which team or department does the Senior Data Scientist at iyzico belong to?
This Senior Data Scientist position is part of the Data department at iyzico. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior Data Scientist position at iyzico?
Click the "Apply Now" button on this page. You will be redirected to iyzico's official application portal hosted on lever where you can submit your application directly.
When was the Senior Data Scientist job at iyzico posted?
This Senior Data Scientist position at iyzico was posted on Jun 28, 2024. Apply as soon as possible — early applications are often reviewed first.
Senior Data Scientist
iyzico
You'll be redirected to iyzico's official application page on Lever.