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actuarial data scientist / pricing analyst Jobs in Istanbul

actuarial data scientist / pricing analyst

ai data product owner

senior data scientist

Oredata Yazılım Anonim Şirketi

<div>OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
We are looking for a Senior Data Scientist to join our team within a leading company in the manufacturing industry.
Responsibilities:<ul>
<li>Collaborate closely with cross-functional teams to understand the business challenges and formulate data-driven solutions accordingly.</li>
<li>Analyze large datasets to extract meaningful patterns, valuable insights and inferences.</li>
<li>Design, develop and deploy advanced analytical models to solve complex problems.</li>
<li>Employ scientific approach for conducting experimental design and rapid prototyping.</li>
<li>Lead the data-driven decision-making process, from data preparation and analysis to implementation and monitoring the results.</li>
<li>Iteratively improve the solutions to meet the highest-class standards and productionize.</li>
<li>Translate complex data analysis into clear, actionable recommendations for both technical and non-technical audiences.</li>
<li>Manage data science projects, ensuring they meet business requirements and are delivered on time.</li>
<li>Research the best practices to build the next generation analytics products and services.</li>
</ul>Requirements:<ul>
<li>Bachelor&rsquo;s and/or MSc/PhD degree in Engineering, Data Science, or a related quantitative discipline.</li>
<li>At least 7-10 years of working experience in the field of data science.</li>
<li>Demonstrated track record of delivering impactful, independent projects in prior roles.</li>
<li>Manufacturing process domain expertise is a plus.</li>
<li>Advanced proficiency in SQL and Python.</li>
<li>Solid hands-on experience in machine learning and other advanced modeling approaches to extract and automate valuable insights from data.</li>
<li>In-depth knowledge of causality and statistical inference.</li>
<li>Expertise in statistical modeling and optimization techniques.</li>
<li>Experience in time series modeling is a plus.</li>
<li>Experience in building MLOps pipelines is a plus.</li>
<li>Eagerness to learn new technologies and domains, a can-do attitude.</li>
<li>Having strong desire to take initiative and solve real world problems.</li>
<li>Multi-disciplinary and cooperative ability to communicate effectively with diverse domains.</li>
<li>Excellent verbal and written communication skills in English.</li>
<li>No restrictions to travel in and abroad.</li>
</ul>Why Oredata?<ul>
<li>Remote working and flexible time off</li>
<li>Open communication, flexibility and start-up spirit</li>
<li>Learning &amp; Development opportunities for both personal and professional growth</li>
<li>Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)</li>
<li>Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)</li>
<li>Dynamic work ecosystem where you can take initiative and responsibility</li>
<li>Opportunity to work on international projects</li>
<li>Private Health Insurance</li>
<li>Birthday Leave Policy</li>
</ul>Ki&#351;isel verileriniz i&#351;e al&#305;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&#305;yla veri sorumlusu s&#305;fat&#305;yla &#351;irketimiz Oredata Yaz&#305;l&#305;m A.&#350;. taraf&#305;ndan i&#351;lenecektir. Ki&#351;isel verilerinizin i&#351;lenmesi ve haklar&#305;n&#305;zla ilgili detayl&#305; bilgiye https://oredata.com/personal-data-protection-policy/ ba&#287;lant&#305;s&#305; &uuml;zerinden ula&#351;abilirsiniz.</div>

Senior Data Scientist

Getir

<div>
 
 Getir is the pioneer of ultra-fast delivery. By bringing together great technology with a unique operational model, we were the first to introduce the concept of groceries being delivered to your door in minutes.
 
 
 Great technology is developed by great people, and thats why were looking for talented technologists to join our team.
 
 
 
 
 
 What You&rsquo;ll Be Doing?
 
 
 
 
 <ul>
 <li>
 Lead a diverse team of ML engineers, data scientists, and backend engineers across projects in "recommendation"
 </li>
 <li>
 Set technical direction, review system designs, and mentor the team on best practices in scalable ML infrastructure.
 </li>
 <li>
 Demonstrating a clear understanding of the company's strategic goals and how technical solutions align with business outcomes
 </li>
 <li>
 Work closely with product, engineering, and analytics stakeholders to define and prioritize recommendation goals.
 </li>
 <li>
 Align model development with strategic business KPIs, presenting insights and recommendations to leadership.
 </li>
 <li>
 Collaborates across teams to align architecture with business goals and scalability needs.
 </li>
 <li>
 Architect and deploy real-time, personalized recommendation pipelines using hybrid modeling approaches (e.g., Two-Tower, DCNv2, GNNs).
 </li>
 <li>
 Build and serve user behavior and product embeddings for use in downstream tasks across app touchpoints.
 </li>
 <li>
 Continuously experiment and optimize performance through A/B tests and simulation frameworks.
 </li>
 <li>
 Develop ranking strategies using learning-to-rank frameworks, real-time features, and feedback loops.
 </li>
 <li>
 Improve ranking relevance using LightGBM/XGBoost-based models integrated with real-time feature stores.
 </li>
 <li>
 Design and operationalize end-to-end machine learning pipelines, from training to online inference, using modern MLOps and orchestration tools.
 </li>
 <li>
 Ensure reliability and scalability through containerized services, model monitoring, and continuous integration.
 </li>
 <li>
 Cosely monitors the product's key metrics
 </li>
 <li>
 Implements best practices for reproducibility, versioning, and testing.
 </li>
 <li>
 Optimizes models for latency, throughput, and reliability at scale.
 </li>
 </ul>
 
 
 
 
 
 
 
 What You&rsquo;ll Bring?
 
 
 
 
 <ul>
 <li>
 Bachelors degree in Computer Science, Computer Engineering, or a related field. A Masters degree is a plus, preferably completed or close to completion.
 </li>
 <li>
 5 years of hands-on experience in machine learning and model deployment.
 </li>
 <li>
 Strong proficiency with Python.
 </li>
 <li>
 Experience with nosql and vector databases.
 </li>
 <li>
 Experience with machine learning libraries like scikit-learn, xgboost/lightgbm/catboost, PyTorch, and/or TensorFlow.
 </li>
 <li>
 Developing and maintaining services using frameworks such as FastAPI.
 </li>
 <li>
 Previous experience working with GPS and IoT data, experience in deep learning architectures such as LSTMs and GNNs, hands-on experience in large language models (LLMs), including fine-tuning and RAG implementation, are strong plus.
 </li>
 <li>
 Interest in applying research methodologies to practical, business-focused solutions.
 </li>
 <li>
 Excellent communication skills with the ability to collaborate effectively within cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 
 
 
 <ul>
 <li>
 Hybrid working model
 </li>
 <li>
 Take charge of your own career growth with us through professional development opportunities! We really mean it when we say that upward and sideways mobility are some of our favorite terms.
 </li>
 <li>
 Health insurance (family included)
 </li>
 <li>
 Meal card
 </li>
 <li>
 Competitive salary
 </li>
 </ul>
 
 
 
 
 For detailed information on how we process your personal data, please review our Candidate Clarification Text (
 
 http://static.getir.com/candidate/index_en.html
 
 ).
 
</div>

KoçDigital

<div>
 
 
 Company Profile
 
 
 
 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.
 
 
 
 
 
 
 General Qualifications
 
 
 
 
 
 
 &bull;
 
 Educational Background
 
 
 
 &bull; Ph.D. or Master&rsquo;s in Data Science, Statistics, Engineering, Computer Science, or a related field.
 
 
 
 
 
 &bull;
 
 Experience
 
 
 
 &bull; 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
 
 
 &bull; Technical Skills
 
 
 &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>

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>
 <li>
 Working with ML Engineers to productionize your developed NLP models
 </li>
 <li>
 Using the cutting-edge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI
 </li>
 <li>
 Following best practices in developing ML code and ML software tests
 </li>
 <li>
 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>
 <li>
 Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
 </li>
 <li>
 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>
 <li>
 You are a naturally collaborative person who listens and invests in others to achieve common goals
 </li>
 <li>
 You have a Pro-active and can-do attitude (self-steering)
 </li>
 <li>
 You take pride in your code and take responsibility for keeping it running in production
 </li>
 <li>
 You combine both thinking of the future and a hands-on, right now attitude
 </li>
 <li>
 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>
 <li>
 Experience with operationalisation of LLMs or Generative AI applications
 </li>
 <li>
 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>
 <li>
 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

Bilyoner

<div>
 
 We are looking for a Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
 
 
 
 
 <ul>
 <li>
 Max. 4 year of relevant experience,
 </li>
 <li>
 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>

Data Scientist

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>

Amaris Consulting

<div>
 
 Job Description
 
 
 
 We are looking for a
 
 skilled and impact-oriented Senior Data Scientist
 
 to join our advanced analytics team. In this role, you will take ownership of complex, end-to-end data science projects&mdash;from design and modeling to deployment and integration. You will play a key role in shaping our airline&rsquo;s digital retail transformation and revenue optimization strategy using the latest in machine learning, AI, and real-time analytics.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Leading end-to-end data science projects, including model design, development, deployment, and monitoring in production environments
 </li>
 <li>
 Collaborating with integration engineers to manage testing workflows and production rollouts
 </li>
 <li>
 Designing and implementing models for dynamic pricing and optimization (prior experience is a strong plus)
 </li>
 <li>
 Building ML models for dynamic bundling and product recommendation systems
 </li>
 <li>
 Contributing to revenue management initiatives as part of the Modern Airline Retailing transformation
 </li>
 <li>
 Participating in exploratory projects involving chatbots, generative media (visuals/videos), and Agentic AI, based on evolving business needs
 </li>
 <li>
 Analyzing existing datasets to develop decision support systems and advanced analytical models
 </li>
 <li>
 Performing application-level integrations when needed to support end-to-end solution delivery
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
 </li>
 <li>
 Minimum 4 years of industry experience in data science, machine learning, or applied AI roles
 </li>
 <li>
 Strong command of machine learning, predictive modeling, and optimization techniques
 </li>
 <li>
 Proficiency in Python and key data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience with production-grade model deployment and monitoring
 </li>
 <li>
 Familiarity with SQL, Airflow, and version control tools such as Git (BitBucket)
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (e.g., Kubernetes, ideally OpenShift)
 </li>
 <li>
 Strong collaboration and communication skills to work across data, engineering, and business teams
 
 
 
 </li>
 </ul>
 
 Ready to take off with us? Apply now and be part of the journey.
 
 
 
 
 Amaris Consulting is committed to promoting diversity within its workforce and to creating an inclusive work environment. We review applications from all qualified individuals regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or any other characteristic. Special consideration will be given to candidates with disabilities.
 
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Data Scientist (Hybrid)

Explore 586+ Senior data scientist in Istanbul this September. Find roles across top companies and apply now to boost your career.

586 senior data scientist jobs IN Istanbul

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior NLP Data Scientist

Data Scientist

Data Scientist

Data Scientist (Hybrid)