Skip to content
Data Scientist

Data Scientist

Senior Data Scientist

iyzico

Istanbul

Apply on the employer's site

Role description

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,
  • 4-5 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 learning
    : access to conferences, inhouse events & Tech Talks to stay up to date with the latest research and technologies. (And by the way -you don’t need to wait to share your expertise on stage with your teammates and the community!)
  • Online training platforms
    with free access to Udemy, Harvard ManageMentor, GetAbstract and more.
  • Freedom under responsibility
    as our shared mindset, reflected in our flexible working model
    iyzico Homequarters
    . Our headquarters is based in Altunizade.
  • Allowances
    for meals, internet, and transportation.
  • Tech & workspace support
    : a gift voucher to cover your home office needs and ensure an ergonomic workspace.
  • MacBook provided
    for your work.
  • Employee Support Program
    : free psychological counseling, legal guidance, and financial advice.
  • Private health insurance
    .
  • 1 day birthday leave
    to celebrate your special day.
  • Onboarding support
    : an
    iyzicoMate
    assigned to help you with anything you may need, plus a detailed orientation program designed to immerse you in the iyzico culture.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Coming to this page

A resume for this role — and a ticket to the draw

We take the posting apart down to the real requirements and rewrite your resume against it — by asking, not inventing: no line appears without your confirmation. Sign in to get it first, and to enter the draw.

  • A resume for this exact role, not a universal one
  • Answers are kept: edit any one, not the whole conversation
  • All in your account — open it from any device

On the wheel

A discount on mentoring

Winners are drawn at random among entries with a confirmed email. The date and the full rules are on the draw page.

Draw rules

Data Scientist

AI & Computer Vision Researcher at Robotics Startup

OneSec

Istanbul

Apply on the employer's site

Role description

Company Description
OneSec is an AI-driven robotics startup focused on transforming food delivery by making it significantly faster and more cost-efficient. By integrating advanced artificial intelligence and automation, the company aims to deliver meals 5 times faster and 27 times cheaper than traditional delivery methods. OneSec is in a growth phase and actively seeks skilled professionals in engineering, quality control, and operations to strengthen its multidisciplinary team. Joining OneSec offers the opportunity to work on cutting-edge robotics and AI solutions that directly impact everyday consumer experiences and the future of urban logistics.

Role Description
The AI & Computer Vision Researcher will design, develop, and optimize algorithms for perception, recognition, and decision-making in robotic food delivery systems. Day-to-day work includes conducting applied research, building and evaluating computer vision models, analyzing data from sensors and cameras, and collaborating with engineering teams to integrate models into production-ready systems. The role involves prototyping, experimenting with new methods, improving accuracy and robustness, and documenting findings for both technical and non-technical stakeholders. This is a full-time, on-site position based in Istanbul, working closely with cross-functional teams to push the performance and reliability of OneSec’s AI-driven delivery platforms.

Qualifications

  • Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
  • Expertise in Pattern Recognition and Computer Vision methods for detection, tracking, and classification.
  • Experience in Data Science and Statistics for experiment design, model evaluation, and performance analysis.
  • Demonstrated Research skills, including problem formulation, literature review, experimentation, and publication or technical reporting.
  • Proficiency with relevant tools and frameworks (e.g., Python, C++/C, PyTorch or TensorFlow, OpenCV).
  • Background in machine learning or deep learning applied to real-world sensor data, preferably in robotics or autonomous systems.
  • Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related quantitative field.
  • Ability to work on-site in Istanbul, collaborate in multidisciplinary teams, and communicate complex concepts clearly.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Van Aftersales Planning & Reporting Coordinator

Mercedes-Benz Otomotiv

Istanbul

Apply on the employer's site

Role description

Job Description

  • Preparing the “Authorized Services Bonus System" by making the necessary analysis/simulations and carrying out the approval steps and announcing the "Bonus System Guideline" to the authorized services
  • Calculating the quarterly bonus payment according to the "Bonus Guideline" and follow-up the invoicing process of the authorized services and reporting the bonus results to the Managing Director
  • Annual Strategic Planning of Van Spare Parts Turnover with Headquarter and executing the agreement process within submission date
  • Executing the Global Customer Services processes successfully (Vehicle Park Management, CSI topics, etc)
  • Reporting the monthly closing results of the quantitative & qualitative KPIs to the Management
  • Executing the monthly closing results with controlling and accounting department
  • Analysing the Customer Services CSI data, coordinating the business line through Headquarter, authorized services and market research company
  • Designing/improving the reporting infrastructure of the Customer Services Reports in collaboration with IT department

Qualifications

  • University degree in technical, engineering or business administration/economics
  • Experience in a similar position in automotive sector
  • Very good command in English or/and German
  • Tolerance to work under stress, self starter, self motivator with strong social and negotiation skills
  • Very good analytical thinking, result-oriented and planning & reporting capabilities
  • Excellent computer skills and proficiency in MS Office applications
  • Flexible, goal-oriented and highly organized

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

AI & Computer Vision Researcher at Robotics Startup

OneSec

Istanbulfulltime

Apply on the employer's site

Role description

Company Description
OneSec is an AI-driven robotics startup focused on transforming food delivery by making it significantly faster and more cost-efficient. By integrating advanced artificial intelligence and automation, the company aims to deliver meals 5 times faster and 27 times cheaper than traditional delivery methods. OneSec is in a growth phase and actively seeks skilled professionals in engineering, quality control, and operations to strengthen its multidisciplinary team. Joining OneSec offers the opportunity to work on cutting-edge robotics and AI solutions that directly impact everyday consumer experiences and the future of urban logistics.

Role Description
The AI & Computer Vision Researcher will design, develop, and optimize algorithms for perception, recognition, and decision-making in robotic food delivery systems. Day-to-day work includes conducting applied research, building and evaluating computer vision models, analyzing data from sensors and cameras, and collaborating with engineering teams to integrate models into production-ready systems. The role involves prototyping, experimenting with new methods, improving accuracy and robustness, and documenting findings for both technical and non-technical stakeholders. This is a full-time, on-site position based in Istanbul, working closely with cross-functional teams to push the performance and reliability of OneSec’s AI-driven delivery platforms.

Qualifications

  • Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
  • Expertise in Pattern Recognition and Computer Vision methods for detection, tracking, and classification.
  • Experience in Data Science and Statistics for experiment design, model evaluation, and performance analysis.
  • Demonstrated Research skills, including problem formulation, literature review, experimentation, and publication or technical reporting.
  • Proficiency with relevant tools and frameworks (e.g., Python, C++/C, PyTorch or TensorFlow, OpenCV).
  • Background in machine learning or deep learning applied to real-world sensor data, preferably in robotics or autonomous systems.
  • Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related quantitative field.
  • Ability to work on-site in Istanbul, collaborate in multidisciplinary teams, and communicate complex concepts clearly.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Consumer & Auto Finance Analytics and Strategic Planning Supervisor

TEB

Istanbul

Apply on the employer's site

Role description

About the Job (Key Responsibilities):

  • Setting up business units P&L, budget, and financial forecasts referring to Consumer Finance product activities in compliance with shareholders’ profit share structure
  • Perform strategic studies and statistical analyses for Retail & Private Banking products structure sharing with Turkish and French shareholders
  • Developing pricing strategies and managing AI/ML models to optimize income and risk for Cash& Auto Loans according to market rates patterns
  • Data Management of the department, increasing the speed and depth of access to data and creating insights
  • Supervise budget planning and ensure overall project coordination
  • Collaborate with critical financial risk management departments such as Risk Management, Asset-Liability Management (ALM), and Finance

Required Qualifications

  • A Bachelor's or Master's degree in Engineering, Statistics, Mathematics
  • New graduate or 1 year work experience in credit analytics, risk analysis, or financial planning
  • Fluency in English, both written and spoken
  • Proficiency in SQL, SAS, or similar data analysis tools
  • Strong analytical thinking and problem-solving capabilities
  • Excellent communication skills and a collaborative mindset

This role follows a hybrid work model (4 days on-site, 1 day working from home)

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

That is every opening in this category and country

Senior Data Scientistiyzico · Turkey

Apply on the employer's site