data scientist

data analyst

data engineer

big data & ai engineer

product data analyst

senior data scientist

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://www.youtube.com/watch?v=UBSGOJBnuyc
 
 
 
 
 
 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

Orion Systems Integrators Inc

<div><div>Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.</div><div>
We are seeking a Senior Data Scientist with deep expertise in Time Series Analysis, Statistical Modeling, and Cloud-based Data Engineering to join our high-impact team tackling some of the toughest data challenges in the oil &amp; gas industry. This role involves solving complex real-world problems using large-scale data from sensors, operations, and infrastructure systems in a Cloud-based environment.

You will work on a technically demanding project that requires exceptional analytical rigor, cloud engineering skills, domain understanding, and creativity. 


Key Responsibilities:
<ul>
<li>Lead the design and development of advanced time series forecasting models for industrial operations and equipment.</li>
<li>Analyze large-scale sensor data, SCADA systems, and historical logs to extract actionable insights.</li>
<li>Develop and maintain robust statistical and machine learning models with a focus on scalability, cloud performance, and reproducibility.</li>
<li>Build and optimize ETL pipelines using tools like Apache Airflow, integrating data from diverse sources into cloud data lakes (e.g., AWS S3, Azure Data Lake Gen2).</li>
<li>Collaborate with cross-functional teams including data engineers, domain experts, and business stakeholders.</li>
<li>Develop dashboards and visualizations using Power BI, Tableau, and SQL for business-facing reporting.</li>
<li>Work with APIs to integrate data services and models into enterprise systems.</li>
<li>Apply data modeling and model performance tuning best practices in a production-grade environment.</li>
<li>Use Git/GitHub for version control, CI/CD integration, and collaborative workflows.</li></ul> 


Required Qualifications:
<ul>
<li>Master&rsquo;s or Ph.D. in Statistics, Data Science, Computer Science, Applied Mathematics, or related field.</li>
<li>5+ years of experience in Data Science, with at least 2 years in oil &amp; gas, energy, or industrial sectors.</li>
<li>Hands-on experience with time series forecasting, anomaly detection, and signal processing.</li>
<li>Proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch).</li>
<li>Strong experience with SQL, cloud platforms (AWS, Azure, or GCP), and big data tools (e.g., Spark).</li>
<li>Experience working in ETL pipelines, cloud data storage, and data lake architectures.</li></ul> 


Preferred Qualifications:
<ul>
<li>Experience with vCloud environments and cloud-native data processing tools.</li>
<li>Familiarity with DAX and M query language for Power BI development.</li>
<li>Prior work with IoT sensor data, SCADA systems, or oilfield production data.</li>
<li>Knowledge of physics-informed ML or hybrid modeling approaches.</li>
<li>Experience working on mission-critical, high-complexity industrial analytics projects.</li>
</ul></div><div>
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Candidate Privacy Policy

Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, &ldquo;Orion,&rdquo; &ldquo;we&rdquo; or &ldquo;us&rdquo;) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (&ldquo;Notice&rdquo;) explains:
<ul>
<li>What information we collect during our application and recruitment process and why we collect it;</li>
<li>How we handle that information; and</li>
<li>How to access and update that information.</li>
</ul>
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.</div></div>

Senior Data Scientist – Time Series & Cloud Analytics (Remote)

OBSS

<div>
 
 
 Would you like to take part in cutting-edge data projects while contributing to innovative, high-impact solutions? We are looking for a Data Scientist to join our team!
 
 
 
 
 
 
 
 ROLE
 
 
 
 We are seeking a talented Data Scientist to work on a high-impact project. In this role, you will be responsible for working with big data, building robust data models, and leveraging advanced SQL skills to deliver actionable insights.
 
 
 
 
 
 
 QUALIFICATIONS
 
 
 <ul>
 <li>
 3&ndash;8 years of professional experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong hands-on experience with big data technologies and data modeling
 </li>
 <li>
 Advanced SQL skills with the ability to translate data into meaningful analyses
 </li>
 <li>
 Hands-on experience in projects involving personalization, recommendation systems, and customer segmentation
 </li>
 <li>
 Programming proficiency in Python
 </li>
 <li>
 Experience with machine learning, including classical ML models (classification, regression) and deep learning frameworks (TensorFlow, PyTorch)
 </li>
 <li>
 Knowledge of A/B testing methodologies
 </li>
 <li>
 Preferably experienced in feature engineering
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 </ul>
 
 
 
 
 OBSS is proud to be an equal opportunity workplace and an affirmative action employer. We make recruiting decisions without regard to race, color, religion, national or ethnic origin, age, gender, sexual orientation, marital status, veteran status, or disability status.
 
 
 
</div>

Data Scientist

TikTak

<div>
 
 
 Are you ready to join the exciting journey of TikTak, leading car solution provider that revolutionizes the mobility habit of mega urbanites?
 
 
 
 
 
 
 TikTak is Turkey's youngest and fastest-growing car rental &amp; sharing company.
 
 
 
 
 
 We know the city is full of opportunity, full of excitement, full of life.
 
 
 
 
 
 For this reason; We are highlighting TikTak as a solution resource in order not to miss a moment in this wide experience pool. We are the new generation transportation brand for the new generation of urban residents, and we are a reason for the city to be experienced to the fullest. TikTak is the shortest way to get from home to work, from campus to concert.
 
 
 
 
 
 The city is bustling and lively, just like us. In this direction, our goal is to be an important part of daily mobility in city life.
 
 
 
 
 
 Our goal is also about freedom, innovation, and dynamism. Our work environment is a dynamic environment that supports innovation, where everyone can contribute with their ideas.
 
 
 
 
 
 We are looking for a
 
 Data Scientist
 
 for our rapidly growing teams in this environment.
 
 
 
 
 
 
 Your playground as a Data Scientist at TikTak
 
 
 
 
 
 <ul>
 <li>
 Develop and implement machine learning models and advanced analytics solutions to solve complex business challenges.
 </li>
 <li>
 Lead end-to-end data science projects, from problem definition and data preparation to model deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams, including data engineering, business intelligence, product teams and relevant business units, to drive data initiatives.
 </li>
 <li>
 Design and improve predictive models including but not limited to time series forecasting LTV, churn, segmentation, user behavior modelling etc.
 </li>
 </ul>
 
 
 
 
 
 Our game changer Data Scientist profile at TikTak
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 3+ years of professional experience in data science, machine learning, or related analytical roles.
 </li>
 <li>
 Proficiency in Python, with experience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
 </li>
 <li>
 Proficiency in SQL and experience working with large datasets.
 </li>
 <li>
 Proven ability to translate business problems into data-driven solutions with measurable impact.
 </li>
 <li>
 Strong ability to present complex findings in a clear and actionable manner to both technical and non-technical stakeholders.
 </li>
 <li>
 Strong experience in working with large-scale data, cloud-based solutions, and data engineering best practices.
 </li>
 <li>
 Familiarity with LLMs and agentic AI tools is a plus.
 </li>
 </ul>
 
 
 
 
 
 The benefits of TikTak offer you
 
 
 
 
 
 
 🪄 TikTak+ Budget
 
 
 🏖️ Holiday Budget
 
 
 📈 Stock Options Based on Company Alignment and Performance
 
 
 💰 Salary Bonus
 
 
 🚗 Mobility Budget
 
 
 🗓️ 20 Days of Annual Leave
 
 
 🩺 Private Health Insurance
 
</div>

Data Science Professional

TEB Arf

<div>
 
 
 Data Scientist &ndash; AI &amp; Data Science Team (TEB Arf, &Idot;stanbul &ndash; B&Uuml;DOTEK Teknopark)
 
 
 
 Join TEB Arf&rsquo;s innovative AI &amp; Data Science Team and help us redefine the future of banking! We&rsquo;re a dynamic group pushing the boundaries of artificial intelligence to develop cutting-edge solutions that deliver real impact. As a Data Scientist, you&rsquo;ll own the entire lifecycle of AI/ML solutions &ndash; from development and deployment to monitoring and continuous improvement &ndash; collaborating closely with business stakeholders to solve complex challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Engineering &amp; Preparation:
 
 Extract, clean, transform, and validate data from diverse sources to create high-quality datasets for model development. Design and maintain scalable data pipelines using SQL and Python.
 </li>
 <li>
 
 Model Development &amp; Evaluation:
 
 Select, build, train, and rigorously evaluate machine learning models (regression, classification, clustering, time series) using libraries such as Scikit-learn, XGBoost, and TensorFlow/PyTorch. Employ techniques like cross-validation to ensure robust and generalizable results.
 </li>
 <li>
 
 Business Translation &amp; Impact:
 
 Collaborate with stakeholders to understand business needs and translate them into actionable analytical solutions. Design and execute experiments (A/B testing) to validate hypotheses and measure the impact of your work.
 </li>
 <li>
 
 Deployment &amp; Monitoring:
 
 Work with SDLC teams to deploy models into production, continuously monitor performance, and proactively address issues (model drift, data quality).
 </li>
 <li>
 
 Communication &amp; Documentation:
 
 Clearly communicate complex technical concepts to both technical and non-technical audiences. Maintain thorough documentation of all analytical processes and results.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Electrical/Electronics Engineering, Industrial Engineering, Statistics, or Mathematics.
 </li>
 <li>
 5+ years of experience, with at least 3 years in a dedicated Data Science role.
 </li>
 <li>
 Expert proficiency in SQL and Python.
 </li>
 <li>
 Strong understanding of machine learning/deep learning concepts, algorithms, and a practical ability to apply them.
 </li>
 <li>
 Hands-on experience developing and deploying machine learning models and AI applications.
 </li>
 <li>
 Solid understanding of MLOps and LLMOps principles.
 </li>
 <li>
 Familiarity with CI/CD platforms and containerization (Docker, Kubernetes).
 </li>
 <li>
 Excellent English communication skills (verbal and written).
 </li>
 </ul>
 
 
 
 
 
 Bonus Points:
 
 
 <ul>
 <li>
 Experience with Java or C++.
 </li>
 <li>
 Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
 </li>
 <li>
 Master&rsquo;s or PhD in a related field.
 </li>
 <li>
 Experience in the banking or financial services industry.
 </li>
 </ul>
 
 
</div>

Data Scientist – AI & Data Science Team

NielsenIQ

<div>Job Description 
As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.
What You&rsquo;ll Do
&#10146; Support Data Science solutions for client request and provide initial recommendation for complex client raised issues.
&#10146; Support Internal and External Clients with the understanding of Data Science design and methodology.
&#10146; Accompany senior leaders to meet with clients to understand business needs and help offer innovative solutions.
&#10146; Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python / R.
&#10146; Understand NielsenIQ products and services to suggest to new solutions for client challenges.
&#10146; Collaborate with other Data Science team units.
&#10146; Automate and develop solutions for existing processes.
&#10146; Support or participate in Innovation initiatives to create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. 
Qualifications 
&#10146; Professionals with degrees in Mathematics, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
&#10146; 0&ndash;1-year experience in market research or relevant field.
&#10146; Passionate about innovation and technology
&#10146; Problem-Solving skills
&#10146; Ability to effectively convey complex concepts to non-experts
&#10146; Intellectual curiosity and persistence to find answers to questions
&#10146; Eager to continuously learn and adapt to changing technologies and tools.
&#10146; Good command of written and spoken English.
&#10146; Good collaborative and interpersonal skills to communicate at all levels. (Preferred) 
Additional Information 
Analytical and Technical skills:
&#10146; Solid understanding of Statistics.
&#10146; Strong aptitude for data analysis.
&#10146; Critical / logical thinking.
&#10146; Familiar with programming language such as Python/R.
&#10146; Familiar with contemporary database systems.
 Optional Qualification
&#10146; Working knowledge with data visualization tools (e.g. Spotfire, Tableau, PowerBI etc.) and mapping tools.
&#10146; Working knowledge with collaboration tools such as Google Suite(Google site, Google Data Studio), Atlassian, Git, Bitbucket and Confluence.
&#10146; Familiar with Machine Learning
&#10146; Familiar with marketing analytics, including designing experiment and consumer behavior analysis.<div></div>
Our Benefits<ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul>

About NIQ
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
For more information, visit NIQ.com
Want to keep up with our latest updates?
Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion
NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion</div>

Aksigorta

<div>
 
 Aksigorta&rsquo;da kariyerine y&ouml;n verirken, cesaretinle fark yarataca&gbreve;&inodot;n, benzersiz bir tak&inodot;mla bamba&scedil;ka sigortac&inodot;l&inodot;&gbreve;a imza ataca&gbreve;&inodot;n &ldquo;&ccedil;ok ba&scedil;ka&rdquo; bir kariyer seni bekliyor.
 
 
 
 
 
 9 sekt&ouml;rde 16 &scedil;irketiyle T&uuml;rkiye ile d&uuml;nyay&inodot; bulu&scedil;turan Sabanc&inodot; Holding ile sigortac&inodot;l&inodot;kta 150 y&inodot;ll&inodot;k global oyuncu Ageas Group sinerjisinden beslenen ve 60 y&inodot;ll&inodot;k deneyime sahip T&uuml;rkiye&rsquo;nin en b&uuml;y&uuml;k sigorta &scedil;irketlerinden birinde &ccedil;al&inodot;&scedil;mak, Aksigortal&inodot; olmak ister misin?
 
 
 
 
 
 Teknoloji ve Operasyonel M&uuml;kemmellik ekibimizde de&gbreve;erlendirmek &uuml;zere Data Scientist adaylar&inodot;n&inodot;n ba&scedil;vurular&inodot;n&inodot; bekliyoruz!
 
 
 
 
 
 
 Genel Nitelikler
 
 
 <ul>
 <li>
 &Uuml;niversitelerin M&uuml;hendislik, Akt&uuml;erya ve &Idot;statistik lisans ve &uuml;zeri b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Tercihen en az 5 sene sigorta sekt&ouml;r&uuml; deneyimi olan,
 </li>
 <li>
 Sekt&ouml;rel ve sekt&ouml;r d&inodot;&scedil;&inodot; yenilikleri takip eden ve s&uuml;rekli &ouml;&gbreve;renme ve geli&scedil;imi prensip edinen,
 </li>
 <li>
 &Idot;leri seviyede s&ouml;zl&uuml; ve yaz&inodot;l&inodot; &Idot;ngilizce kullanabilen.
 </li>
 <li>
 Ba&scedil;tan sona Data Science proje geli&scedil;tirme tecr&uuml;besine sahip, Data Science algoritmalar&inodot;nda y&uuml;ksek seviyede bilgi sahibi.&Ouml;rn: (Xgboost, Light GBM, SVM, KNN, Naive Bayes)
 </li>
 <li>
 Big Data sistemleri (Microsoft Fabric, Hadoop, Hive, Airflow) ile ilgili bilgi sahibi olan,
 </li>
 <li>
 Data Science ve Generative AI uygulamalar&inodot; konusunda y&uuml;ksek derecede bilgi sahibi olan. (SAS, Datarobot, Python, OPENAI vb.)
 </li>
 <li>
 Data Analytics architecture hakk&inodot;nda bilgi sahibi olan
 </li>
 <li>
 Makine &Ouml;&gbreve;renmesi ve Yapay Zeka projelerinde binary,numeric ve kategorik de&gbreve;i&scedil;kenler olu&scedil;turmak i&ccedil;in veri ke&scedil;if analizleri, veri haz&inodot;rlama a&scedil;amalar&inodot;na y&uuml;ksek derecede haiz
 </li>
 <li>
 SQL/PL-SQL kodlama bilgisi olan, PL-SQL paket ve prosed&uuml;rlerin olu&scedil;turulmas&inodot; veya SAS EG kodlama ile veya Python kodlama &uuml;zerinde ile veri haz&inodot;rlama konusunda y&uuml;ksek derecede bilgi sahibi olan bir ekip arkada&scedil;&inodot; ar&inodot;yoruz.
 </li>
 </ul>
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;
 
 
 <ul>
 <li>
 Aksigorta&rsquo;n&inodot;n risk, fiyatlama ve m&uuml;&scedil;teri s&uuml;re&ccedil;lerine katk&inodot; sa&gbreve;layacak veri odakl&inodot; modeller geli&scedil;tirmek, makine &ouml;&gbreve;renmesi projeleri y&uuml;r&uuml;tmek.
 </li>
 <li>
 B&uuml;y&uuml;k veri setleri &uuml;zerinde veri temizleme, d&ouml;n&uuml;&scedil;t&uuml;rme ve entegrasyon &ccedil;al&inodot;&scedil;malar&inodot; ger&ccedil;ekle&scedil;tirmek.
 </li>
 <li>
 &Idot;statistiksel ve makine &ouml;&gbreve;renmesi tabanl&inodot; modeller kurmak, test etmek ve iyile&scedil;tirmek.
 </li>
 <li>
 Akt&uuml;erya, &uuml;r&uuml;n y&ouml;netimi ve i&scedil; analizi ekipleriyle yak&inodot;n temas halinde &ccedil;al&inodot;&scedil;mak; ihtiya&ccedil; analizi yapmak ve &ccedil;&ouml;z&uuml;mler &uuml;retmek.
 </li>
 <li>
 Model performans&inodot;n&inodot; d&uuml;zenli olarak takip ederek, iyile&scedil;tirme f&inodot;rsatlar&inodot;n&inodot; belirlemek ve hayata ge&ccedil;irmek.
 </li>
 <li>
 Sigortac&inodot;l&inodot;k sekt&ouml;r&uuml;ndeki yeni trendler, teknolojiler ve d&uuml;zenlemeleri takip ederek projelerde uygulamak; &scedil;irketin dijital d&ouml;n&uuml;&scedil;&uuml;m&uuml;ne katk&inodot; sunmak.
 </li>
 <li>
 Model sonu&ccedil;lar&inodot;n&inodot; ve veri analizi &ccedil;&inodot;kt&inodot;lar&inodot;n&inodot; anla&scedil;&inodot;l&inodot;r ve etkili bir &scedil;ekilde ilgili payda&scedil;lara (y&ouml;netim, i&scedil; birimleri) sunmak.
 </li>
 </ul>
</div>

Explore 554+ Senior data scientist in Istanbul this September. Find roles across top companies and apply now to boost your career.

554 senior data scientist jobs IN Istanbul

Senior Data Scientist – AI Development

Senior Data Scientist – Time Series & Cloud Analytics (Remote)

Data Scientist

Data Science Professional

Data Scientist – AI & Data Science Team

Data Scientist

Data Scientist