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chapter lead data scientist

data scientist / senior data scientist Jobs in Istanbul

data scientist / senior data scientist

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principal research engineer

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senior scientist

Bilyoner

<div>
 
 We are looking for a Senior Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
 
 
 
 
 <ul>
 <li>
 Min. 3 year of relevant experience,
 </li>
 <li>
 PhD, MS or Bachelors degree in Computer Science, Statistics or other quantitative field,
 </li>
 <li>
 Experience in building Algorithms from scratch and take it to production in a scalable way,
 </li>
 <li>
 Extensive practical hands-on experience in exploratory data analysis,
 </li>
 <li>
 The clear understanding of modern machine learning and statistical analysis methods,
 </li>
 <li>
 Proven experience at SQL and programming language Python,
 </li>
 <li>
 Interpret data, analyze results using statistical techniques and develop interactive dashboards, reports etc.,
 </li>
 <li>
 Provide technical expertise on data storage structures, data mining, data cleansing and data visualization.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ayd&inodot;nlatma Metni
 
 
 
 
 https://bilyoneradmins-my.sharepoint.com/:w:/g/personal/apply_bilyoner_com/EVkBNXP6V3FJss0cuCBoqIkB7OoIg1U1M4WtwWRvpenQfQ?e=EbB2ks
 
 
 
 
</div>

Senior Data Scientist

bitaksi

<div>
 
 
 About bitaksi:
 
 
 
 bitaksi is Turkey's leading taxi-hailing app, transforming urban mobility with innovative technology. Over the past 12 years, we've grown from a small startup to a pivotal part of people's daily lives, providing safe, easy, and modern transportation solutions.
 
 
 
 
 
 
 Company Vision:
 
 
 
 Our vision is to transform the way people move by leveraging cutting-edge technology and creating seamless experiences for both riders and drivers. We aim to be the preferred transportation platform of choice, setting new industry standards and reshaping urban mobility.
 
 
 
 
 
 
 Why Choose bitaksi:
 
 
 
 Impactful Work: By joining bitaksi, you will have the opportunity to work on projects that have a direct impact on the lives of millions of people. Your contributions will help shape the future of transportation and make a difference in the way people navigate their daily lives.
 
 
 Innovation and Technology: Be part of a dynamic team that leverages the latest technology to develop user-centric solutions in a rapidly evolving industry.
 
 
 
 
 
 
 
 
 
 As a Data Scientist at Bitaksi, you'll be building and deploying machine learning models to solve critical business challenges across fraud detection, customer optimization, and recommendation systems while collaborating closely with stakeholders to translate their needs into scalable data science solutions.
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field (Computer Science, Mathematics, Statistics, Engineering etc.)
 </li>
 <li>
 5+ years of hands-on experience in data science roles
 </li>
 <li>
 Advanced proficiency in Python and SQL for data analysis and modeling
 </li>
 <li>
 Proven experience developing and deploying machine learning models in production
 </li>
 <li>
 Strong statistical foundation including predictive modeling, optimization, and data mining
 </li>
 <li>
 Experience with cloud platforms (AWS preferred) and containerization technologies
 </li>
 <li>
 Familiarity with API development frameworks (FastAPI, Flask, or similar)
 </li>
 <li>
 Demonstrated ability to translate business problems into data science solutions
 </li>
 </ul>
 
 
 
 
 
 Opportunities for you:
 
 
 <ul>
 <li>
 Impacting on the solid data products and solutions from day one
 </li>
 <li>
 Working on cutting-edge technologies and easy-to-access data platform
 </li>
 <li>
 Being able to analyze a wide variety of data types
 </li>
 <li>
 Taking responsibility
 </li>
 </ul>
 
 
 
 
 
 What we offer?
 
 
 <ul>
 <li>
 Open communication, teamwork and strong company culture of continuous development
 </li>
 <li>
 Competitive salary
 </li>
 <li>
 Private health insurance (family included)
 </li>
 <li>
 Meal card
 </li>
 <li>
 Monthly IstanbulCard reimbursement
 </li>
 <li>
 We care about your wellbeing; free psychological counseling, legal advice, financial advice etc.
 </li>
 <li>
 Team and company activities for motivation
 </li>
 <li>
 Discounted gym membership
 </li>
 <li>
 Online education platforms
 </li>
 </ul>
 
 
 
 
 
 Join Us:
 
 Become part of a team that&rsquo;s redefining urban mobility. Together, let&rsquo;s create innovative solutions that enhance the lives of millions.
 
 
 
 
 
 
 Under the scope of your application, your personal data submitted to us will be processed in accordance with the Law on the Protection of Personal Data No. 6698 for the purposes of managing and evaluating our recruitment processes and contacting you when necessary. You can access our information text on the processing of your personal data via the following link :
 
 https://www.bitaksi.com/en/personal-data-protection-policy
 
 
 
</div>

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 lead end-to-end advanced Analytical and Artificial Intelligence (AI) projects that transform data into valuable insights within Growth, Industry 4.0 and novel AI/ML implementations,
 </li>
 <li>
 If you can create data models that aggregate data from various sources, prepare and analyze data to meet business and project specific needs, and develop insightful reports and dashboards,
 </li>
 <li>
 If you can conduct research on new technologies, products and develop prototypes,
 </li>
 <li>
 If you are adept in R&amp;D ecosystems such as EU-Horizon &amp; TUBITAK projects,
 </li>
 <li>
 If you are actively engaged in data analytics projects and are prepared to develop, monitor, and refine advanced analytical models to adapt to changing conditions,
 </li>
 <li>
 If you are adept at investigating analytical opportunities, flagging potential issues, and proposing creative solutions,
 </li>
 <li>
 If you are eager to contribute to the growth and development of our Analytical and AI ecosystem.
 </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, Mathematics, Statistics, or a related field. Advanced degrees (Master&rsquo;s or Doctorate) in AI and Data Analytics are preferred,
 </li>
 <li>
 Minimum of 4 years of relevant experience,
 </li>
 <li>
 If you possess knowledge and experience in Statistics, Optimization, Computer Vision, Machine Learning and Deep Learning algorithms,
 </li>
 <li>
 If you possess knowledge and experience with cloud platforms AWS etc. and end-to-end model pipeline deployments and monitor processes such as MLOps,
 </li>
 <li>
 If you are proficient in using Python (Pandas, Scikit-Learn, YOLO, TensorFlow etc.), SQL and data modeling, for Data Science and AI projects,
 </li>
 <li>
 If you enjoy analytical thinking and research, curious about new technologies, and have a strong desire to learn, can lead end-to-end projects from business case creation to hand-over process,
 </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>

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

<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)

ING Türkiye

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 At ING T&uuml;rkiye, we leverage the power of data science and advanced analytics to create impactful solutions across various domains. Our teams are at the forefront of driving AI transformation in the bank by:
 
 
 
 
 <ul>
 <li>
 Building analytical models to optimize business processes, such as operations, credit risk management and customer engagement
 </li>
 <li>
 Partnering with different departments to identify and execute data-driven projects
 </li>
 <li>
 Developing and deploying advanced analytical solutions for standardized model development processes
 </li>
 <li>
 Exploring cutting-edge technologies such as computer vision or generative AI to innovate in customer experience and internal operations
 </li>
 <li>
 Collaborating with data engineering teams to create robust data pipelines and scalable infrastructure
 </li>
 </ul>
 
 
 
 
 
 If you think you have most of the following qualifications;
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline &ndash; Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree will be a plus)
 </li>
 <li>
 4+ Years Experience in Data Science / Data Analytics
 </li>
 <li>
 Expert level experience in Data Analysis
 </li>
 <li>
 Solid experience with core machine learning algorithms with a strong focus on evaluating model performance
 </li>
 <li>
 Deep understanding of LLMs for document processing, NER and structured document analysis
 </li>
 <li>
 Hands-on experience with computer vision tools including PyTesseract, PaddleOCR, and vision-language models (VLMs)
 </li>
 <li>
 Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment
 </li>
 <li>
 Excellent organizational and analytical skills; detail-oriented and forward thinking,
 </li>
 <li>
 Good at communication and coordination, stakeholder management, team-work, analytical thinking, highly motivated and result oriented personality
 </li>
 <li>
 Desire to use modern technologies as a disruptive influence
 </li>
 <li>
 Excellent written/verbal communication and reporting skills in Turkish and English
 </li>
 <li>
 Open-minded for new technologies
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you think you may take charge of the following responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Develop advanced analytical models, incorporating Machine Learning &amp; LLM solutions; analyze, process and evaluate to create impact
 </li>
 <li>
 Build an in-depth understanding of the business domain and available data assets
 </li>
 <li>
 Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions
 </li>
 <li>
 Work on projects and exchange experiences, and continuously build methodological knowledge and skills
 </li>
 <li>
 Translate complex datasets into key strategy insight
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Senior Data Scientist – AI Development

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 If you think you are the ideal candidate for our &ldquo;
 
 Senior Data Scientist- CRM - Product &amp; Channel Analytics
 
 &rdquo; in our
 
 Chief Analytics Officer Group
 
 in
 
 ING Technology.
 
 
 
 If you are willing to work in a global company with flexible hours in casual dress-code every day, and in flexible places two days a week in our Maslak Headquarters, this is a great opportunity to step up.
 
 
 
 
 
 
 As &ldquo;Senior Data Scientist- CRM - Product &amp; Channel Analytics&rdquo;
 
 , You will be responsible for supporting business units with Data Analysis &amp; Data Science for data driven decision making, building analytic models to respond to business needs for customer based marketing &amp; pricing analytic models.
 
 
 
 
 
 
 If you think you have most of the following qualifications;
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline &ndash; Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree will be a plus)
 </li>
 <li>
 5+ Year Experience in Data Analysis &amp; Data Science &amp; AI
 </li>
 <li>
 3+ year Experience in using machine learning algorithms to develop analytical models (Experience in marketing and sales models (propensity, churn, segmentation) , pricing models and GenAI projects are plus)
 </li>
 <li>
 Expert level hands-on experience in the end to end execution of Data Science &amp; AI projects (including project initiation, data preparation, model development, validation, implementation, continuous monitoring , and supporting effective adoption and usage of AI Models)
 </li>
 <li>
 Expert level experience in Data Analysis
 </li>
 <li>
 Knowledge of Python, SQL or SAS
 </li>
 <li>
 Good command in Office Programs
 </li>
 <li>
 Excellent organizational and analytical skills; detail-oriented and forward thinking,
 </li>
 <li>
 Good at communication and coordination, stakeholder management, teamwork, analytical thinking, highly motivated, flexible, adaptable, resilient &amp; result oriented personality,
 </li>
 <li>
 Highly motivated to improve skills on Data Analytics &amp; Data Science
 </li>
 <li>
 Strong command of programming and modelling techniques, problem solving, communication and multi-tasking skills,
 </li>
 <li>
 Good command of written and spoken Turkish &amp; English.
 </li>
 </ul>
 
 
 
 
 
 If you think you may take charge of the following responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transfer capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Develop complex mathematical models; analyze, process, evaluate large data sets
 </li>
 <li>
 Build an in-depth understanding of the business domain and available data assets
 </li>
 <li>
 Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions
 </li>
 <li>
 Work on projects and exchange experiences, and continuously build methodological knowledge and skills
 </li>
 <li>
 Translate complex datasets into key strategy insight
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Senior Data Scientist- CRM - Product & Channel Analytics

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