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senior data scientist

iyzico

<div>
 
 
 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&rsquo; 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:
 
 
 <ul>
 <li>
 Analyze large-scale structured and unstructured data from multiple sources,
 </li>
 <li>
 Build products that make use of AI, ML, and advanced statistical techniques from basic financial analysis to complex machine learning models,
 </li>
 <li>
 Come up with new ideas on the ways we detect anomalies, optimize conversions, and provide business insights through data,
 </li>
 <li>
 Design, analyze, and interpret the results of experiments,
 </li>
 <li>
 To find hidden patterns and relationships in data to provide answers to business concerns, do statistical analysis and/or data mining techniques,
 </li>
 <li>
 Collaborate with product, engineering, and risk teams to translate business challenges into data science problems,
 </li>
 <li>
 Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize model performance,
 </li>
 <li>
 Ability to communicate complicated data outputs to audiences who are business-oriented and non-technical.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, information technology, industrial engineering, mathematics or statistics,
 </li>
 <li>
 5+ years experience the related responsibilities like data science or machine learning engineering,
 </li>
 <li>
 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),
 </li>
 <li>
 Eager to research and apply new models and can take initiative,
 </li>
 <li>
 SQL knowledge is a must,
 </li>
 <li>
 Multi-disciplinary and cooperative ability to solve problems in diverse domains including finance, marketing, sales, product development and user experience,
 </li>
 <li>
 Knowledge of developing workflows to deploy machine learning models and find new solutions to get processes better and faster,
 </li>
 <li>
 Experience of working within the financial regulations is a plus,
 </li>
 <li>
 Scientific approach for experimentation and rapid prototyping,
 </li>
 <li>
 The ability to present ideas, insights, and solutions in a clear way,
 </li>
 <li>
 Be interested in cutting-edge artificial intelligence products and be an early adopter who has experienced them before (Llama, GPT, Gemini).
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A culture of continuous development: conferences, in-house events &amp; 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&rsquo;s how we designed our flexible working model called iyzico Homequarters. Our homequarters is in Altunizade.
 
 
 Meal &amp; 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
 
</div>

Senior Data Scientist

Yıldız Tech

<div>
 
 The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our 80 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 45 factories, 20 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 80 years with our products, services and sustainable social responsibility understanding.
 
 
 
 
 
 
 
 
 Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 Y&inodot;ld&inodot;z Tech's Digital Transformation organization is seeking a
 
 Data Scientist / Senior Data Scientist
 
 to shape the vision, define the strategy, and drive the execution of our data-driven initiatives. In this role, you will understand user needs and business objectives, facilitate the development of data models and analytics solutions, and support data-driven decision-making processes.
 
 
 
 
 
 
 
 
 
 
 
 
 What Awaits You, What Will Be Your Responsibilities?
 
 
 
 
 
 <ul>
 <li>
 
 Researching, designing, implementing, and evaluating
 
 machine learning approaches and models.
 </li>
 <li>
 Assisting in analyzing
 
 large datasets
 
 using statistical techniques and machine learning algorithms.
 </li>
 <li>
 Supporting the development, implementation, and evaluation of
 
 predictive models
 
 and
 
 data-driven solutions
 
 to address business challenges.
 </li>
 <li>
 
 Preprocessing and cleaning raw data
 
 to ensure its quality, integrity, and usability for analysis.
 </li>
 <li>
 Applying
 
 data wrangling techniques
 
 to handle missing values, outliers, and inconsistencies in the data.
 </li>
 <li>
 Creating
 
 visualizations, charts, and dashboards
 
 to communicate insights and findings from data analysis effectively.
 </li>
 <li>
 Collaborating with
 
 senior data scientists, analysts
 
 , and
 
 business stakeholders
 
 to understand project requirements and objectives.
 </li>
 <li>
 Contributing ideas and insights to
 
 team discussions
 
 and brainstorming sessions.
 </li>
 <li>
 Staying updated on the latest
 
 trends, tools
 
 , and techniques in
 
 data science
 
 and
 
 machine learning
 
 .
 </li>
 <li>
 Documenting
 
 analysis methods
 
 , findings, and results in clear and concise reports.
 </li>
 <li>
 Preparing
 
 presentations
 
 and
 
 documentation
 
 to communicate project outcomes to stakeholders and team members.
 </li>
 <li>
 
 Deploying machine learning models
 
 into production environments using containerization, orchestration, and model serving frameworks.
 </li>
 <li>
 Exploring, fine-tuning, and applying
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI solutions
 
 to address business needs and automation opportunities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What will be the qualifications we expect from you?
 
 
 
 
 
 <ul>
 <li>
 BS Degree in Statistics, Computer Science/Engineering, Industrial Engineering (or other related engineering fields).
 </li>
 <li>
 Good command of SQL.
 </li>
 <li>
 Strong programming and scripting skills in
 
 Python
 
 (packages: pandas, NumPy, matplotlib, scikit-learn, TensorFlow, PySpark, etc.).
 </li>
 <li>
 Minimum
 
 3 / 5 years of experience
 
 in related fields.
 </li>
 <li>
 Hands-on project experience in some of the following areas:
 </li>
 <li>
 
 Predictive analytics
 
 : cross-sell/up-sell modelling, churn prediction, demand forecasting, time series analysis.
 </li>
 <li>
 
 Customer analytics
 
 : segmentation, recommendation systems.
 </li>
 <li>
 
 AI and machine learning applications
 
 : image processing, natural language processing (NLP).
 </li>
 <li>
 Excellent command of English.
 </li>
 <li>
 Ability to manage a variety of cross-organizational projects (scope, stakeholders, desired outcomes), working closely with a broad range of internal and external teams.
 </li>
 <li>
 Effective communication skills.
 </li>
 <li>
 Analytical perspective.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 The following qualifications are a plus:
 
 
 
 
 
 <ul>
 <li>
 Understanding and hands-on experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 , including
 
 fine-tuning
 
 ,
 
 embedding models
 
 ,
 
 prompt engineering
 
 , or
 
 agent orchestration
 
 (e.g., LangChain, OpenAI APIs, Hugging Face Transformers).
 </li>
 <li>
 Hands-on experience in deploying machine learning models using tools such as
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 CI/CD pipelines
 
 (e.g., Jenkins, GitLab CI).
 </li>
 <li>
 Familiarity with
 
 model serving frameworks
 
 such as
 
 MLflow
 
 ,
 
 FastAPI
 
 , or
 
 TorchServe
 
 .
 </li>
 <li>
 Practical experience with cloud platforms such as
 
 AWS
 
 and/or
 
 Azure
 
 , especially in
 
 infrastructure management
 
 ,
 
 data storage
 
 ,
 
 networking
 
 , and
 
 resource provisioning
 
 (e.g., S3, Blob Storage, EC2, VMs, IAM).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Which skills will highlight you?
 
 
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking skills.
 </li>
 <li>
 Effective communication and collaboration abilities.
 </li>
 <li>
 Ability to manage and prioritize multiple projects and tasks simultaneously.
 </li>
 <li>
 Hands-on experience in
 
 deploying machine learning models
 
 into production environments.
 </li>
 <li>
 Curiosity and practical experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 .
 </li>
 <li>
 Team spirit and leadership in collaborative environments.
 </li>
 <li>
 Proficiency in MS Office applications.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ; https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 
</div>

Data Scientist / Senior Data Scientist

Eczacıbaşı Holding

<div>
 
 
 Eczac&inodot;ba&scedil;&inodot; Holding
 
 
 
 
 
 
 Established by Dr. Nejat F. Eczac&inodot;ba&scedil;&inodot; in 1942, Eczac&inodot;ba&scedil;&inodot; Group is one of Turkey's leading industrial conglomerates, operating primarily in construction products, consumer products, healthcare, and natural resources sectors for both national and international markets. It has a total of 50 entities, including one foreign partnership, more than 13,500 employees also engaging in real estate development, natural resources, and information technology.
 
 
 
 
 
 
 What Do We Expect from Our New Team Member?
 
 
 <ul>
 <li>
 If you can design and implement Generative AI solutions that enhance business value&mdash;developing use cases, integrating LLMs into analytical workflows, and building intelligent systems that support decision-making and innovation,
 </li>
 <li>
 If you can lead and contribute to end-to-end Gen AI and advanced analytics projects, transforming data into strategic insights and scalable solutions,
 </li>
 <li>
 If you can design, fine-tune, and deploy LLMs or RAG pipelines to meet specific business needs, ensuring high performance and relevance,
 </li>
 <li>
 If you are passionate about researching cutting-edge Gen AI trends, experimenting with new architectures, and turning prototypes into production-ready tools,
 </li>
 <li>
 If you are capable of monitoring, evaluating, and optimizing Gen AI model performance under evolving conditions and use cases,
 </li>
 <li>
 If you are eager to shape and scale our Gen AI ecosystem, collaborating with other teams and advocating for responsible AI practices.
 </li>
 </ul>
 
 
 
 
 
 You are exactly the person we are looking for!
 
 
 
 
 
 
 
 Your team is waiting for you!
 
 
 
 
 
 
 
 What kind of teammate are we looking for?
 
 
 <ul>
 <li>
 A degree in Engineering, Computer Science, Mathematics, Statistics, or a related field. A Master's or PhD in AI, NLP, or Data Science is a strong plus.
 </li>
 <li>
 Minimum of 5 years of experience in data science, with hands-on experience in Gen AI, NLP, or LLM development.
 </li>
 <li>
 Strong knowledge and experience in training, fine-tuning, and evaluating Large Language Models (LLMs).
 </li>
 <li>
 Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and prompt engineering techniques.
 </li>
 <li>
 Experience developing endpoints, APIs, or lightweight web apps (e.g., Dash, Flask, Streamlit, React) to deliver Gen AI solutions.
 </li>
 <li>
 Ability to optimize Gen AI models for performance, cost-efficiency, and business relevance.
 </li>
 <li>
 Proficiency in Python (Hugging Face Transformers, LangChain, Pandas, Scikit-learn, TensorFlow/PyTorch) and SQL.
 </li>
 <li>
 Experience with cloud platforms, especially Microsoft Azure AI Foundry or AWS, and MLOps tools are a plus.
 </li>
 <li>
 If you enjoy analytical thinking and research, are curious about new technologies, and have a strong desire to learn,
 </li>
 <li>
 If you are prone to teamwork and interpersonal abilities.
 </li>
 <li>
 Proficiency in English is preferred.
 </li>
 </ul>
 
 
 
 
 
 &laquo;You should live your career, development, life and future at Eczac&inodot;ba&scedil;&inodot;!&raquo;
 
 
 
 
 
 
 
 What is here for you?
 
 
 
 You can continuously improve your personal, professional, and technical competencies by participating in our education programs that support you and your career,
 
 
 Opportunities for global opportunities and rotation among more than 120 international markets among more than 40 organizations can always knock on your door,
 
 
 At Eczac&inodot;ba&scedil;&inodot;, leave entitlements are calculated based on the employee's total work experience and come with your employment,
 
 
 We always applaud successes with different reward methods,
 
 
 With work models differentiated according to the nature of the job, you can take advantage of location-independent or hybrid work opportunities and determine your own working hours with flexible working hours,
 
 
 Being a mother or father at Eczac&inodot;ba&scedil;&inodot; is a privilege. Monthly nursery aid is provided to working mothers at Eczac&inodot;ba&scedil;&inodot;, and working fathers are entitled to 21 days of paternity leave. We are determined to ensure equal opportunities in employment,
 
 
 We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or seniority status
 
 #WeDoNotDifferentiateBetweenJobsForWomenAndMen.
 
 
 
 
</div>

Senior Data Scientist (Generative AI)

Dream Games

<div>
 
 We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
 </li>
 <li>
 Monitoring the integrity and validity of the reported data
 </li>
 <li>
 Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience in prediction, modeling, and forecasting
 </li>
 <li>
 Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
 </li>
 <li>
 Advanced SQL skills
 </li>
 <li>
 High proficiency in Python or R
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Appreciation and understanding of teamwork
 </li>
 </ul>
</div>

Data Scientist

Odeabank

<div>
 
 
 Advanced Analytics and Data Science - Senior Specialist
 
 
 
 
 
 
 We&rsquo;re Hiring: Advanced Analytics and Data Science Team
 
 
 Are you ready to bring your data science expertise into a fast-paced, agile, and impact-driven environment? We&rsquo;re looking for a Senior Data Scientist to join our growing Advanced Analytics and Data Science (CoE) team &mdash;where you&rsquo;ll work on end-to-end data science projects that directly shape the future of our business.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 As part of the CoE, you'll collaborate across diverse domains including finance, marketing, operations, credit risk, and AI applications. Our projects are fast-moving and solution-oriented, often launched from scratch and built into production in weeks. You'll have the chance to work with top-tier talent, develop scalable solutions, and present your work to senior leadership &mdash; driving real business impact at every step.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing:
 
 
 
 
 
 <ul>
 <li>
 Lead and contribute to end-to-end data science projects: from business understanding to model deployment
 </li>
 <li>
 Design, prototype, and implement machine learning and AI solutions using Python
 </li>
 <li>
 Collaborate with cross-functional teams in finance, marketing, risk, and operations to deliver actionable insights
 </li>
 <li>
 Translate business problems into data science opportunities
 </li>
 <li>
 Ensure high code quality through version control (Git), code reviews, and adherence to software development best practices
 </li>
 <li>
 Query and manipulate data using SQL and manage workflows using bash and automation tools
 </li>
 <li>
 Contribute to CI/CD pipelines for ML/AI deployment
 </li>
 <li>
 Communicate findings effectively to technical and non-technical stakeholders, including senior leadership
 </li>
 <li>
 Stay up-to-date with the latest developments in AI, ML, and data science tools
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a STEM field, Economics, or Finance
 </li>
 <li>
 3+ years of relevant experience in data science, advanced analytics, or applied ML
 </li>
 <li>
 Expertise in Python and common data science libraries (pandas, scikit-learn, etc.)
 </li>
 <li>
 Strong knowledge of relational databases and fluency in SQL
 </li>
 <li>
 Hands-on experience with ML and AI algorithms
 </li>
 <li>
 Exposure to bash scripting and workflow automation
 </li>
 <li>
 Experience working in agile teams
 </li>
 <li>
 Familiarity with Git and collaboration tools
 </li>
 <li>
 Strong understanding of software development best practices
 </li>
 <li>
 Exposure to CI/CD practices for data science or ML pipelines
 </li>
 <li>
 Excellent communication and problem-solving skills
 </li>
 </ul>
 
 
 
 
 Ready to take the next step in your data science journey? Apply now and be part of a collaborative, high-impact team where your work matters from day one.
 
 
 
</div>

Advanced Analytics and Data Science - Senior Specialist

Cypher Games

<div>
 At Cypher Games, data isn&rsquo;t just numbers&mdash;it&rsquo;s the key to creating unforgettable player experiences. As a
 
 Data Scientist
 
 , you&rsquo;ll uncover patterns, build predictive models, and transform raw data into insights that shape the future of our games. Working hand-in-hand with Product, Marketing, and Engineering teams, your work will directly impact how millions of players enjoy and engage with our worlds. If you&rsquo;re passionate about games, analytics, and solving complex problems with creativity, we&rsquo;d love to have you on our team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex data sets to uncover insights that guide product, marketing, and design decisions
 </li>
 <li>
 Build predictive models, simulations, and forecasting tools to improve player engagement and retention
 </li>
 <li>
 Design and evaluate A/B tests to validate hypotheses and optimize gameplay and monetization strategies
 </li>
 <li>
 Collaborate with Product, Marketing, and Engineering teams to translate business needs into data-driven solutions
 </li>
 <li>
 Build and maintain dashboards, reports, and analytics pipelines to empower teams with actionable insights
 </li>
 <li>
 Monitor data quality and ensure the accuracy and reliability of reports and metrics
 </li>
 <li>
 Stay up-to-date with emerging tools, methods, and best practices in data science and analytics
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics, etc.)
 </li>
 <li>
 1&ndash;2+ years of professional experience in data science, analytics, or a related field (gaming experience is a plus)
 </li>
 <li>
 Strong skills in SQL and proficiency in Python
 </li>
 <li>
 Hands-on experience with dashboard and visualization tools (Looker, Tableau, or similar)
 </li>
 <li>
 Understanding of statistical methods, A/B testing, predictive modeling, and machine learning techniques
 </li>
 <li>
 Curiosity-driven, detail-oriented, and strong problem-solving mindset
 </li>
 <li>
 Excellent communication skills and ability to work in cross-functional teams
 </li>
 <li>
 Passion for mobile games and using data to shape player experiences
 
 </li>
 </ul>
</div>

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at Turknet
 
 
 
 We&rsquo;re looking for an experienced Data Scientist to join our game-changing team.
 
 
 
 
 
 
 📱 What You'll Do
 
 
 <ul>
 <li>
 Understand business objectives and data requirements, and transform them into valuable insights and analytical solutions.
 </li>
 <li>
 Manage data analysis processes and prepare datasets for analysis.
 </li>
 <li>
 Process large datasets using big data technologies.
 </li>
 <li>
 Develop predictive models, classifications, and clustering solutions using machine learning algorithms.
 </li>
 <li>
 Present and communicate data results effectively with visualizations.
 </li>
 </ul>
 
 
 
 
 
 👩 👨 Who You Are
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Computer Engineering, Statistics, Mathematics, or a similar quantitative discipline.
 </li>
 <li>
 Extensive experience with SQL. Proficiency in Python and related data analysis, data manipulation, and modeling libraries (Pandas, NumPy, Scikit-learn, etc.).
 </li>
 <li>
 Strong understanding of the Data Science model development lifecycle (data understanding, data cleaning, feature engineering, model training, evaluation, and monitoring).
 </li>
 <li>
 Hands-on experience with machine learning models, statistical methods, and optimization algorithms for real-world problems.
 </li>
 <li>
 Experience with big data technologies is a plus.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Scientist, so you should have 3+ years of experience in a Data Science role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 
 
 
 🚀Our Recruitment Process
 
 
 
 We are guided by our goal of creating an equitable and inclusive experience where candidates from a wide range of backgrounds have the opportunity to succeed. We do not imagine a complicated recruitment process. That's why we care about the process being short, fast and transparent.
 
 
 1.Application: You can apply for open positions via Linkedin.
 
 
 2.First Interview: First of all, we want to evaluate your skills and see if they are compatible with TurkNet values.
 
 
 3.Case study: For some positions we may need to test technical skill.
 
 
 4.Second Interview: We would like to examine your technical skills in depth with our leader(s).
 
 
 5.Welcome to TurkNet!
 
 
 
</div>

Explore 749+ Senior data scientist in Istanbul this October. Find roles across top companies and apply now to boost your career.

749 senior data scientist jobs IN Istanbul

Senior Data Scientist

Data Scientist / Senior Data Scientist

Senior Data Scientist (Generative AI)

Data Scientist

Advanced Analytics and Data Science - Senior Specialist

Data Scientist

Data Scientist