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senior data 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

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 Senior 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 MLOps technologies is a plus.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Senior Data Scientist, so you should have 5+ 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>

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

Prometeia

<div>
 
 
 Senior Data Scientist / Machine Learning Engineer
 
 
 
 
 
 
 Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
 
 
 Prometeia S.p.A, a leading provider of software solutions and consulting services for Risk Management, Financial Analysis, and Planning for financial institutions, is extending its capabilities with an experienced data science team in Turkey region and is looking for a senior candidate within the areas of Data Science and ML Engineering.
 
 
 Candidate will be placed in the team of Data Science and Artificial Intelligence (AI) with an entrepreneurship soul and a focus on not only financial institutions' digitalization processes but also cross-sectoral real-world applications of AI. The ideal candidate will have strong software engineering and leadership skills.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Build LLM and GenAI models validation methodologies specialized in Turkish and English.
 </li>
 <li>
 Facilitate integration of the resulting system/software into existing production environment.
 </li>
 <li>
 Collaborate closely with local and international data scientists, domain experts, and business stakeholders to translate analytical insights into production-ready solutions.
 </li>
 <li>
 Research, prototype, and implement state-of-the-art ML/DL algorithms (including LLMs and generative AI) in real-world data science problems.
 </li>
 <li>
 Lead the integration of resulting systems/software into existing production environments.
 </li>
 <li>
 Engage in applied research, co-author technical papers, and represent Prometeia at data science conferences or academic collaborations.
 </li>
 <li>
 Demonstrate agility to multitask and adopt new technologies in a dynamic, research-driven environment.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS:
 
 
 <ul>
 <li>
 2-3 years of academic and/or industry experience in Machine Learning.
 </li>
 <li>
 Proficiency and hands-on experience in Python programming.
 </li>
 <li>
 Practical experience with one or more of the following frameworks and libraries: pandas, scikit-learn, matplotlib, PySpark, PyTorch, transformers, NLTK, Spacy, langchain.
 </li>
 <li>
 Solid understanding of computer science fundamentals, including data structures, algorithms, runtime analysis, and object-oriented design patterns.
 </li>
 <li>
 Experience with Linux/Unix operating systems.
 </li>
 <li>
 Experience in NLP and Machine Learning scientific research, or similar experience in developing language technologies for shipping POCs.
 </li>
 <li>
 Familiarity with transformer-based models and deep learning
 </li>
 <li>
 Understanding of methods such as low-rank adaptation, quantization, distillation, retrieval augmented generation, agentic approaches, advanced prompting techniques and LLM-as-a-Judge
 </li>
 <li>
 Understanding of model evaluation
 </li>
 <li>
 Knowledge on dataset creation and annotation processes (nice-to-have)
 </li>
 <li>
 Knowledge on both SQL and NoSQL databases and vector databases
 </li>
 <li>
 Familiarity with LLM APIs (nice-to-have)
 </li>
 <li>
 Familiarity with cloud services like Azure (nice-to-have)
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; EXPERIENCE:
 
 
 <ul>
 <li>
 Having a Bsc., Msc. or having/pursing PhD. degree in Machine Learning, Deep Learning or related fields of Computer Science and Data Science
 </li>
 </ul>
 
 
 
 
 
 SOFT SKILLS:
 
 
 <ul>
 <li>
 Ability to effectively communicate complex analytical findings to both technical and non-technical audiences.
 </li>
 <li>
 Strong presentation and storytelling skills, with an emphasis on clear data visualization.
 </li>
 <li>
 Strong research and problem-solving skills.
 </li>
 <li>
 Proven team leadership and mentoring abilities, fostering collaboration and knowledge sharing within multidisciplinary teams.
 </li>
 <li>
 High attention to detail, structured problem-solving mindset, and accountability for project delivery.
 </li>
 <li>
 Excellent interpersonal skills, with the ability to coordinate across stakeholders and manage priorities in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 LOCATION:
 
 
 
 Istanbul
 
 
 
 
 
 
 WHAT WE OFFER:
 
 
 
 
 COMPENSATION, WELFARE &amp; BENEFIT
 
 
 
 Our history, as well as our future, is based on the value of our people. Prometeia&rsquo;s biggest investment is in our people and it concerns every aspect of professional life. We call it &ldquo;Total Compensation&rdquo; and it is made of three elements: Compensation, consisting of a fixed and a variable component, a Welfare Plan active since 2015 &ndash;we were among the first companies in Italy to introduce it&ndash;, and Benefits, including all initiatives for the well-being of our people.
 
 
 
 
 
 
 REMOTE WORKING
 
 
 
 Flexibility is an intrinsic value of our way of working. In Prometeia, remote working is an organizational method based on trust. It results in benefits in terms of work/life balance, impact on the environment and optimization of company results through autonomy and empowerment of people.
 
 
 
 
 
 
 PEOPLE PROGRAM
 
 
 
 Our evaluation system is based on the full enhancement of our people and on continuous dialogue as a stimulus for regular, mutual professional and personal growth. Within the projects, several moments are dedicated to transparent discussions between managers and team members. This allows for reciprocal and prompt feedback. The process is fully digitalized and aimed at continuously improving the strategic growth of both the individual and the company.
 
 
 
 
 
 
 TRAINING
 
 
 
 Prometeia means continuous training. We provide an average of 11 days of training per year to our people, in person and online. We pay specific attention to younger colleagues, the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important and is made of immediate and direct confrontation with the market.
 
 
 
 
 
 
 WIN/WIN POLICY
 
 
 
 If you are one of our employees and you recommend a person who is later hired, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.
 
 
 
 
 
 
 PHYGITAL MANAGEMENT
 
 
 
 We have completely digitalized the management of our physical and virtual environments through the dedicated app Pr(Home)teia. Access to the office, remote working, workstations, meeting rooms, carpooling... everything is just a click away.
 
 
 
 
 
 
 COMMUNITY
 
 
 
 Our Community is highly diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities we actively cooperate with are stakeholders representing a great value for us in terms of trust and collaboration.
 
 
 
 
 
 
 DIVERSITY
 
 
 
 We promote and respect equal opportunities and consider differences as a value. Diversity &amp; Inclusion are fundamental values: from the recruitment phase to everyday life, promoted also through dedicated training moments to develop individual sensitivities and uniqueness.
 
 
 
 
 
 
 IMPACT
 
 
 
 We responsibly take an active role towards the environment, territories and communities we operate in. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards recognizing the efficiency of the building in terms of energy and water savings, CO2 emissions reduction, and improvement of the ecological quality of interiors, materials and resources. In the Sustainability Report we outline the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda drafted by the UN in 2016, that we have been supporting since 2020.
 
 
 
</div>

Senior Data Scientist / Machine Learning Engineer

KoçDigital

<div>
 
 Ko&ccedil;Digital combines the strengths of Ko&ccedil; Holding to support our clients on their most complex digital challenges. Our mission is to deliver sustainable impact, lead with breakthrough insights, and enable organizations through Advanced Analytics and Internet of Things (IoT) solutions, unlocking lasting and tangible benefits for our clients. At Ko&ccedil;Digital, you&rsquo;ll have the opportunity to work with clients across a range of industries, applying cutting-edge analytics to drive practical results and innovations.
 
 
 
 
 
 
 Role Profile
 
 
 
 We are seeking strong candidates with advanced analytics skills to start an exciting career at Ko&ccedil;Digital as part of our Data Science team. This role focuses on building models and conducting data analysis with advanced analytics techniques to provide actionable insights for critical business challenges. You will develop and deploy advanced time series and forecasting models to address key issues in manufacturing and energy, collaborating cross-functionally with domain experts to align solutions with real-world operational needs. As part of our team, you&rsquo;ll be essential to enabling data-driven decision-making and driving operational improvements for our clients.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Time Series &amp; Forecasting Model Development
 
 
 &bull; Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.
 
 
 &bull; Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.
 
 
 &bull; Optimization &amp; Predictive Analytics
 
 
 &bull; Design and implement optimization models using techniques such as linear programming, constraint programming, and evolutionary algorithms to enhance operational outcomes.
 
 
 &bull; Develop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.
 
 
 &bull; Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.
 
 
 &bull; Machine Learning Engineering &amp; Model Deployment
 
 
 &bull; Oversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.
 
 
 &bull; Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.
 
 
 &bull; Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &bull; Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.
 
 
 &bull; Communicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.
 
 
 
 
 
 
 Experience
 
 
 
 
 
 
 &bull; 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
 
 
 &bull; Ph.D. or Master&rsquo;s in Data Science, Statistics, Engineering, Computer Science, or a related field
 
 
 &bull; Proficiency in Python and SQL for data manipulation, analysis, and model development.
 
 
 &bull; Familiarity with database systems, data lakes, and warehousing solutions.
 
 
 &bull; Strong expertise in time series analysis and forecasting techniques (e.g., ARIMA, exponential smoothing, state space models, Prophet, LSTM, RNN-based models) and anomaly detection.
 
 
 &bull; Advanced understanding of optimization techniques (linear programming, constraint programming, stochastic optimization, and evolutionary algorithms) and their application in operational improvements.
 
 
 &bull; Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.
 
 
 &bull; Knowledge of cloud platforms (AWS, Azure, GCP), MLOps tools (MLflow, Kubeflow), and container orchestration (Docker, Kubernetes).
 
 
 &bull; Experience with data pipeline tools (Apache Airflow, Apache Kafka) and big data technologies (Spark, Hadoop) is a plus.
 
 
 &bull; Domain Knowledge
 
 
 &bull; Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.
 
 
 &bull; Knowledge of edge computing and IoT integration for smart factories is a plus.
 
 
 &bull; Analytical &amp; Business Acumen
 
 
 &bull; Strong understanding of business processes and the application of advanced analytics to solve industry-specific problems.
 
 
 &bull; Excellent verbal and written communication skills in English.
 
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 &bull;
 
 Impactful Work
 
 : Contribute directly to optimizing production, reducing waste, and improving efficiency in large-scale manufacturing and energy operations.
 
 
 &bull;
 
 Innovative Environment:
 
 Be part of a team that values innovation and adopts the latest data science and machine learning technologies.
 
 
 
 &bull; Professional Growth:
 
 Access to continuous learning and development opportunities, including industry conferences and technical workshops.
 
 
 
 
 
 
 What we offer:
 
 
 
 
 
 <ul>
 <li>
 Akademi Plus - Technical and Personal Development Trainings
 </li>
 <li>
 Ko&ccedil; Group and internal career opportunities/rotations
 </li>
 <li>
 On-campus sports center and Ko&ccedil; Community Sports Club opportunities
 </li>
 <li>
 Flextra - Flexible benefits package
 </li>
 <li>
 Social Support Payments
 </li>
 <li>
 Mobile phone and internet
 </li>
 <li>
 TokenFlex digital meal card
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 The privileged world of being a Ko&ccedil; member with Ko&ccedil; Ailem, Ko&ccedil; Akademi, and Ko&ccedil; Healthcare
 </li>
 </ul>
 
 
 
</div>

Senior Data Scientist (Manufacturing Focused)

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
 
 
 
 
 
 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

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘
 
 
 
 
 
 .
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul
 
 
 
 
 
 
 About ING
 
 
 
 Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make a difference by using the latest Analytics techniques to generate data-driven approaches and conversational products and solve real business challenges, please read on.
 
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 COO Analytics- Customer Due Diligence
 
 
 
 You will be part of the COO Analytics Tribe, which delivers generative AI , AI and advanced analytics capabilities to all ING countries.
 
 
 Specifically, you will help creating innovative-scalable-data driven solutions in the space of Customer Due Diligence. You proactively work with teams to implement these solutions across the organization. You will work collaboratively with an extended group of stakeholders, including global and local KYC (Know Your Customer).
 
 
 Your mission will be to ensure the improvement of our products with a team and supporting all ING countries in reaching their targets by providing smart advanced analytics solutions, to strengthen ING leadership in digitalization &amp; support our 40 million customers.
 
 
 We work in a fun and creative environment, and we&rsquo;re dedicated to bringing out the best in both our relations and our projects, ranging from enhancing our virtual assistants in production via innovative NLP techniques sush as Generative AI and Large Language Models, to building speech analytics use cases across all the countries ING operates in.
 
 
 
 
 
 
 The opportunity
 
 
 
 As a NLP/LLM Data Scientist, you will be joining the global ING Analytics organization and will partner with Machine Learning (ML) Engineers and Customer Journey Experts to design and implement leading-edge conversational AI products, such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM data scientist, you understand business needs, perform data preprocessing and analysis, and build machine learning models and/or design and implement NLP models using managed LLM services for speech and text data to improve our platform and ING&rsquo;s KYC agents&rsquo; efficiencies globally.
 
 
 
 
 
 
 A day in the life of an NLP Data Scientist
 
 
 
 
 
 
 After your morning coffee, you stand up with data engineers to understand the best scalable way to get models to run in production, leading the way in how to approach a modeling problem and to turn data into business value. You talk to the business to convince them that your solution has value and you incorporate their feedback into your modeling pipeline. After a lunch break with colleagues, you think of a new technology you&rsquo;d like to try out. You start investigating and write it up for the next experimentation day or demo. At the end of the afternoon, you finalize some comments other colleagues from the ING Analytics Community had on your latest blog post or start building your presentation for the next conference you will be presenting at. As a Data Scientist working for ING Global Analytics, you&rsquo;ll never get bored with many experienced and skilled colleagues around you, the freedom to innovate, and to not only use open source and cloud managed service tooling, but also contribute and teach about them.
 
 
 
 
 
 
 You Will Be Responsible For
 
 
 <ul>
 <li>
 Design and implementation of solutions using Generative AI and LLM technologies
 </li>
 <li>
 Developing production level NLP models
 </li>
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 Working with ML Engineers to productionize your developed NLP models
 </li>
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 Using the cutting-edge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI
 </li>
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 Following best practices in developing ML code and ML software tests
 </li>
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 Making design and technical decisions for (Gen)AI projects at ING Analytics. Supporting local teams in several countries and their projects. Participating in design, analysis, and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data.
 </li>
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 Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
 </li>
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 Contributing to strengthening the data analytics capability within the team.
 </li>
 </ul>
 
 
 
 
 
 About you
 
 
 <ul>
 <li>
 Always thinking a step ahead and never satisfied with the status quo
 </li>
 <li>
 Enthusiasm for helping others to be successful and a talent for taking it on and making it happen
 </li>
 <li>
 You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback
 </li>
 <li>
 You embrace challenges in a fast-changing and complex environment
 </li>
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 You are a naturally collaborative person who listens and invests in others to achieve common goals
 </li>
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 You have a Pro-active and can-do attitude (self-steering)
 </li>
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 You take pride in your code and take responsibility for keeping it running in production
 </li>
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 You combine both thinking of the future and a hands-on, right now attitude
 </li>
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 You enjoy working in a team, with highly skilled people, having a creative atmosphere where trying out new things is encouraged.
 </li>
 </ul>
 
 
 
 
 
 How to succeed
 
 
 <ul>
 <li>
 Degree in Computer Science, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.
 </li>
 <li>
 A minimum of 2 years experience in building Natural Language Processing or Information Retrieval pipelines and models
 </li>
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 Experience with operationalisation of LLMs or Generative AI applications
 </li>
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 You have an in-depth understanding of algorithms like Transformers, Recurrent Neural Networks, and Convolutional Neural Network
 </li>
 <li>
 Strong programming skills in Python, experience in delivering production grade code, and reasonable SQL understanding
 </li>
 <li>
 Can build an &ldquo;end-to-end ML software product&rdquo; which has NLP/IR component
 </li>
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 Experience with Deep Learning frameworks like Tensorflow and PyTorch
 </li>
 <li>
 You have excellent oral and written communication skills at the technical and business level
 </li>
 <li>
 Fluent in written and spoken English.
 </li>
 <li>
 Familiarity with Agile Scrum way of working
 </li>
 </ul>
 
 
 
 
 
 Nice To Have
 
 
 <ul>
 <li>
 Experience with Google Cloud Platform
 </li>
 <li>
 Experience with applying NLP on banking and/or KYC domains
 </li>
 <li>
 Knowledge of DevOps practices including Git and CI/CD
 </li>
 <li>
 Experience with CI/CD for Machine Learning pipeline (CD4ML).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer at ING Hubs Turkiye
 
 
 
 
 
 
 At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here&rsquo;s what you can expect when you join our organization:
 
 
 
 
 
 
 Be Yourself, Be an ING'er
 
 
 
 
 
 <ul>
 <li>
 
 Dynamic Environment:
 
 Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.
 </li>
 <li>
 
 Innovation Culture:
 
 Share your innovative ideas while exploring PACE methodology with us.
 </li>
 <li>
 
 Global Exposure:
 
 Participate in global projects and expand your career opportunities.
 </li>
 <li>
 
 Communication &amp; Celebrations:
 
 Enjoy various communication activities and celebrations that promote a friendly work environment.
 </li>
 <li>
 
 Health Care:
 
 Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.
 </li>
 <li>
 
 Private Pension Plan:
 
 Secure your future dreams with our private pension plan.
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
</div>

Senior NLP Data Scientist

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