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data scientist / senior data scientist Jobs in Istanbul

data scientist / senior data scientist

senior scientist

Bilyoner

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

Senior Data Scientist

Turkcell

<div>
 
 Turkcell olarak yeteneklerimize e&scedil;siz insan deneyimi ya&scedil;atarak, de&gbreve;er yaratan s&uuml;rd&uuml;r&uuml;lebilir bir organizasyon in&scedil;a etmeyi ve i&scedil;veren markam&inodot;z&inodot; zirveye ta&scedil;&inodot;may&inodot; hedefliyoruz. Bu hedef do&gbreve;rultusunda benimsedi&gbreve;imiz de&gbreve;erlerimizi i&scedil; yap&inodot;&scedil; bi&ccedil;imlerimize yans&inodot;t&inodot;yoruz.
 
 
 
 
 
 
 
 Turkcell&rsquo;de Neye De&gbreve;er Veriyoruz?
 
 
 
 
 
 &Idot;nsan Odakl&inodot;l&inodot;k:
 
 E&scedil;siz insan deneyimi olu&scedil;turmak amac&inodot;yla uygulamalar&inodot;m&inodot;z&inodot;n merkezinde insan&inodot; konumluyor, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n potansiyelini en &uuml;st d&uuml;zeye &ccedil;&inodot;karmay&inodot; ve onlar&inodot;n yeteneklerini geli&scedil;tirmeyi hedefliyoruz.
 
 
 
 Yenilik:
 
 &Idot;nsanlar&inodot;n hayat&inodot;nda fark yaratan yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler &uuml;retmek, fikir ve teknolojileri ke&scedil;fetmek i&ccedil;in tutkulu bir &scedil;ekilde &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🚀
 
 
 
 
 M&uuml;kemmellik:
 
 Dahil oldu&gbreve;umuz ve temas etti&gbreve;imiz her noktada m&uuml;kemmelliyeti hedefliyor, kendimize y&uuml;ksek standartlar belirliyor, ola&gbreve;an&uuml;st&uuml; sonu&ccedil;lar elde ediyoruz.
 
 🎯👌🏼
 
 
 
 
 &Idot;&scedil; Birli&gbreve;i:
 
 Ba&scedil;ar&inodot;n&inodot;n anahtar&inodot; olarak birlikte &ccedil;al&inodot;&scedil;may&inodot;, sayg&inodot; ve &scedil;effafl&inodot;k k&uuml;lt&uuml;r&uuml;n&uuml; te&scedil;vik ediyoruz. 👥🔗🧩
 
 
 
 M&uuml;&scedil;teri Odakl&inodot;l&inodot;k:
 
 M&uuml;&scedil;terilerimizin ihtiya&ccedil;lar&inodot;n&inodot; merkeze koyarak ola&gbreve;an&uuml;st&uuml; m&uuml;&scedil;teri deneyimleri sunmay&inodot; hedefliyoruz. 🤝🖇️
 
 
 
 S&uuml;rd&uuml;r&uuml;lebilirlik:
 
 M&uuml;&scedil;terilerimiz, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z ve d&uuml;nyam&inodot;z i&ccedil;in s&uuml;rd&uuml;r&uuml;lebilir bir gelecek amac&inodot;yla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🌍
 
 
 
 
 
 
 
 
 Ne Bekliyoruz?
 
 
 
 <ul>
 <li>
 Bilgisayar M&uuml;hendisli&gbreve;i, Telekom&uuml;nikasyon M&uuml;hendisli&gbreve;i, Elektrik-Elektronik M&uuml;hendisli&gbreve;i lisans derecesine sahip olan,
 </li>
 <li>
 &Idot;lgili alanlarda akademik bir dereceye (MS / PhD) sahip olan,
 </li>
 <li>
 Telekom&uuml;nikasyon sekt&ouml;r&uuml;nde tecr&uuml;beli olan,
 </li>
 <li>
 Veri bilimi ve yapay zeka alan&inodot;nda tecr&uuml;beli olan,
 </li>
 <li>
 &Scedil;ebeke istatistiklerine matematiksel temellerine hakim olan,
 </li>
 <li>
 Makine &ouml;&gbreve;renimi, AI algoritmalar&inodot; konusunda tecr&uuml;beli.
 </li>
 <li>
 Python ile kodlamada deneyimi olan,
 </li>
 <li>
 ETL ve Veri Modelleme s&uuml;re&ccedil;lerine hakim.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Turkcell&rsquo;de Senior Data Scientist Rol&uuml; Ne Yapar?
 
 
 
 <ul>
 <li>
 Network ve DWH verileri &uuml;zerinde &ccedil;al&inodot;&scedil;malar yaparak makine &ouml;&gbreve;renilmesi, yapay zeka ve veri bilimi metodolojileri ile stratejik &ccedil;&inodot;kt&inodot;lar &uuml;retir,
 </li>
 <li>
 Karma&scedil;&inodot;k veri k&uuml;melerini i&scedil;letme i&ccedil;in temel strateji i&ccedil;g&ouml;r&uuml;rlerine ve g&uuml;&ccedil;l&uuml; yeteneklere d&ouml;n&uuml;&scedil;t&uuml;r&uuml;r,
 </li>
 <li>
 Yeni veri kaynaklar&inodot;n&inodot; belirler ve veri ke&scedil;fi kullan&inodot;m&inodot; i&ccedil;in geli&scedil;en teknolojileri de&gbreve;erlendirir,
 </li>
 <li>
 Mobil ve Sabit &scedil;ebekelere ait i&scedil; modelleri i&ccedil;in &scedil;ebeke deneyimine dair kural setlerini kurgular,
 </li>
 <li>
 M&uuml;&scedil;terinin &scedil;ebeke deneyimi ve kullan&inodot;m&inodot;na dair analizler yapar tahminleme algoritmalar&inodot; ile modeller geli&scedil;tiririr,
 </li>
 <li>
 M&uuml;&scedil;teri deneyimi iyile&scedil;tirmek ama&ccedil;l&inodot; KPI&rsquo;lar&inodot;n geli&scedil;im alanlar&inodot;n&inodot; belirler ve y&ouml;nlendirme yapar,
 </li>
 <li>
 Sonu&ccedil;lar&inodot;n teknik ve teknik olmayan payda&scedil;lara sunar.
 </li>
 </ul>
 
 
 
 
 
 
 Yan Haklar ve Faydalar
 
 
 
 
 Ekibimizin bir &uuml;yesi olarak, rekabet&ccedil;i bir &uuml;cret, esnek &ccedil;al&inodot;&scedil;ma d&uuml;zenlemeleri, kariyer geli&scedil;imi ve ilerleme f&inodot;rsatlar&inodot; gibi bir dizi yan hak ve fayda ile bulu&scedil;ma f&inodot;rsat&inodot; yakalayacaks&inodot;n. Detaylara "https://bit.ly/TurkcellTKusagi&rsquo;&rsquo; &uuml;zerinden ula&scedil;abilirsin. 🎁▶️
 
 
 
 
 
 
 *Turkcell bir e&scedil;it f&inodot;rsat i&scedil;verenidir ve &inodot;rka, renge, dine, cinsiyete, ulusal k&ouml;kene, etnik k&ouml;kene, ya&scedil;a, fiziksel g&ouml;r&uuml;n&uuml;&scedil;e veya duruma, medeni durumuna, askerlik durumuna bak&inodot;lmaks&inodot;z&inodot;n, t&uuml;m nitelikli ba&scedil;vuru sahiplerini istihdam i&ccedil;in de&gbreve;erlendirmeye al&inodot;r.
 
 
</div>

SENIOR DATA SCIENTIST

<div>
 
 Turkcell olarak yeteneklerimize e&scedil;siz insan deneyimi ya&scedil;atarak, de&gbreve;er yaratan s&uuml;rd&uuml;r&uuml;lebilir bir organizasyon in&scedil;a etmeyi ve i&scedil;veren markam&inodot;z&inodot; zirveye ta&scedil;&inodot;may&inodot; hedefliyoruz. Bu hedef do&gbreve;rultusunda benimsedi&gbreve;imiz de&gbreve;erlerimizi i&scedil; yap&inodot;&scedil; bi&ccedil;imlerimize yans&inodot;t&inodot;yoruz.
 
 
 
 
 
 
 
 Turkcell&rsquo;de Neye De&gbreve;er Veriyoruz?
 
 
 
 
 
 &Idot;nsan Odakl&inodot;l&inodot;k:
 
 E&scedil;siz insan deneyimi olu&scedil;turmak amac&inodot;yla uygulamalar&inodot;m&inodot;z&inodot;n merkezinde insan&inodot; konumluyor, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n potansiyelini en &uuml;st d&uuml;zeye &ccedil;&inodot;karmay&inodot; ve onlar&inodot;n yeteneklerini geli&scedil;tirmeyi hedefliyoruz.
 
 
 
 Yenilik:
 
 &Idot;nsanlar&inodot;n hayat&inodot;nda fark yaratan yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler &uuml;retmek, fikir ve teknolojileri ke&scedil;fetmek i&ccedil;in tutkulu bir &scedil;ekilde &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🚀
 
 
 
 
 M&uuml;kemmellik:
 
 Dahil oldu&gbreve;umuz ve temas etti&gbreve;imiz her noktada m&uuml;kemmelliyeti hedefliyor, kendimize y&uuml;ksek standartlar belirliyor, ola&gbreve;an&uuml;st&uuml; sonu&ccedil;lar elde ediyoruz.
 
 🎯👌🏼
 
 
 
 
 &Idot;&scedil; Birli&gbreve;i:
 
 Ba&scedil;ar&inodot;n&inodot;n anahtar&inodot; olarak birlikte &ccedil;al&inodot;&scedil;may&inodot;, sayg&inodot; ve &scedil;effafl&inodot;k k&uuml;lt&uuml;r&uuml;n&uuml; te&scedil;vik ediyoruz. 👥🔗🧩
 
 
 
 M&uuml;&scedil;teri Odakl&inodot;l&inodot;k:
 
 M&uuml;&scedil;terilerimizin ihtiya&ccedil;lar&inodot;n&inodot; merkeze koyarak ola&gbreve;an&uuml;st&uuml; m&uuml;&scedil;teri deneyimleri sunmay&inodot; hedefliyoruz. 🤝🖇️
 
 
 
 S&uuml;rd&uuml;r&uuml;lebilirlik:
 
 M&uuml;&scedil;terilerimiz, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z ve d&uuml;nyam&inodot;z i&ccedil;in s&uuml;rd&uuml;r&uuml;lebilir bir gelecek amac&inodot;yla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🌍
 
 
 
 
 
 
 
 
 Ne Bekliyoruz?
 
 
 
 <ul>
 <li>
 Bilgisayar Bilimleri, Yapay Zeka, Makine &Ouml;&gbreve;renimi veya ilgili bir alanda Y&uuml;ksek Lisans derecesi.
 </li>
 <li>
 Doktora derecesi g&uuml;&ccedil;l&uuml; bir tercih sebebidir.
 </li>
 <li>
 B&uuml;y&uuml;k Dil Modellerinin (LLM'ler) e&gbreve;itimi ve &ouml;zellikle ince ayar&inodot; (fine-tuning) konusunda kan&inodot;tlanm&inodot;&scedil;, derinlemesine end&uuml;stri veya ara&scedil;t&inodot;rma tecr&uuml;besi,
 </li>
 <li>
 RLHF, DPO ve/veya benzeri geli&scedil;mi&scedil; LLM hizalama ve ince ayar teknikleri hakk&inodot;nda g&uuml;&ccedil;l&uuml; teorik bilgi ve pratik uygulama deneyimi,
 </li>
 <li>
 Python programlama diline ve PyTorch, TensorFlow, JAX gibi derin &ouml;&gbreve;renme k&uuml;t&uuml;phanelerine (&ouml;zellikle PyTorch) ileri d&uuml;zeyde hakimiyet,
 </li>
 <li>
 Hugging Face Transformers, PEFT (Parameter-Efficient Fine-Tuning) gibi LLM ekosistemi ara&ccedil;lar&inodot; ve k&uuml;t&uuml;phaneleri konusunda deneyim,
 </li>
 <li>
 Plan&amp;Act, ReAct gibi agentic reasoning patterns &uuml;zerine proje deneyimi,
 </li>
 <li>
 G&uuml;&ccedil;l&uuml; makine &ouml;&gbreve;renimi temelleri, model de&gbreve;erlendirme metrikleri ve istatistiksel analiz bilgisi,
 </li>
 <li>
 Karma&scedil;&inodot;k teknik problemleri analiz etme, yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler geli&scedil;tirme ve bunlar&inodot; uygulama becerisi,
 </li>
 <li>
 &Idot;yi derecede &Idot;ngilizce (teknik literat&uuml;r&uuml; takip edebilmek ve potansiyel olarak uluslararas&inodot; ekiplerle &ccedil;al&inodot;&scedil;abilmek i&ccedil;in),
 </li>
 <li>
 Tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;nl&inodot;k ve g&uuml;&ccedil;l&uuml; ileti&scedil;im becerileri,
 </li>
 <li>
 Tercihen;
 </li>
 <li>
 A&ccedil;&inodot;k kaynak LLM projelerine (&ouml;rn. model geli&scedil;tirme, k&uuml;t&uuml;phane katk&inodot;s&inodot;) katk&inodot;da bulunmu&scedil; olmak,
 </li>
 <li>
 MLOps prensipleri ve ara&ccedil;lar&inodot; (Docker, Kubernetes, MLflow, Weights &amp; Biases vb.) hakk&inodot;nda bilgi sahibi olmak,
 </li>
 <li>
 On premise / Bulut platformlar&inodot; &uuml;zerinde model e&gbreve;itimi ve da&gbreve;&inodot;t&inodot;m&inodot; deneyimi,
 </li>
 <li>
 Yapay zeka / makine &ouml;&gbreve;renimi alan&inodot;nda (tercihen LLM &uuml;zerine) konferans veya dergi yay&inodot;n&inodot; yapm&inodot;&scedil;,
 </li>
 <li>
 G&uuml;&ccedil;l&uuml; problem &ccedil;&ouml;zme, analitik d&uuml;&scedil;&uuml;nme ve teknik karar alma yetene&gbreve;i olan,
 </li>
 <li>
 &Idot;leti&scedil;im yetene&gbreve;i g&uuml;&ccedil;l&uuml; ve ikna kabiliyeti y&uuml;ksek; farkl&inodot; payda&scedil;larla etkili bir &scedil;ekilde etkile&scedil;im kurabilen,
 </li>
 </ul>
 
 
 
 
 
 
 Turkcell&rsquo;de Senior AI Scientist Rol&uuml; Ne Yapar?
 
 
 
 <ul>
 <li>
 &Uuml;r&uuml;n hedeflerimiz ve veri setlerimiz i&ccedil;in en uygun a&ccedil;&inodot;k kaynakl&inodot; LLM'leri ara&scedil;t&inodot;r&inodot;r de&gbreve;erlendirir ve se&ccedil;er,
 </li>
 <li>
 Toplanan veriyi kullanarak LLM'ler &uuml;zerinde etkili ince ayar (fine-tuning) stratejileri tasarlar ve uygular,
 </li>
 <li>
 &Idot;nsan Geri Bildiriminden Peki&scedil;tirmeli &Ouml;&gbreve;renme (RLHF), Do&gbreve;rudan Tercih Optimizasyonu (DPO - Direct Preference Optimization) ve benzeri geli&scedil;mi&scedil; LLM ince ayar metodolojileri konusunda derinlemesine bilgi sahibidir ve bunlar&inodot; aktif olarak kullan&inodot;r,
 </li>
 <li>
 Gerekti&gbreve;inde, belirli g&ouml;revler i&ccedil;in LLM'lerin s&inodot;f&inodot;rdan e&gbreve;itimi s&uuml;re&ccedil;lerini y&ouml;netir veya bu s&uuml;re&ccedil;lere katk&inodot;da bulunur,
 </li>
 <li>
 Model performans&inodot;n&inodot; (do&gbreve;ruluk, h&inodot;z, maliyet, g&uuml;venlik vb.) s&uuml;rekli olarak izler, de&gbreve;erlendirir ve iyile&scedil;tirmek &ccedil;in metrikler ve de&gbreve;erlendirme protokolleri geli&scedil;tirir,
 </li>
 <li>
 Modelleri &ccedil;&inodot;kar&inodot;m (inference) performans&inodot; ve maliyet etkinli&gbreve;i a&ccedil;&inodot;s&inodot;ndan optimize etmek,
 </li>
 <li>
 Etkili ve g&uuml;venli komut (prompt) tasar&inodot;mlar&inodot; olu&scedil;turur ve komut m&uuml;hendisli&gbreve;i (prompt engineering) s&uuml;re&ccedil;lerine katk&inodot;da bulunur,
 </li>
 <li>
 MLOps ve Backend ekipleriyle yak&inodot;n i&scedil; birli&gbreve;i i&ccedil;inde &ccedil;al&inodot;&scedil;arak modellerin &ouml;l&ccedil;eklenebilir ve g&uuml;venilir bir &scedil;ekilde &uuml;retim ortam&inodot;na da&gbreve;&inodot;t&inodot;m&inodot;n&inodot; (deployment) sa&gbreve;lar,
 </li>
 <li>
 LLM alan&inodot;ndaki en son akademik ara&scedil;t&inodot;rmalar&inodot;, a&ccedil;&inodot;k kaynak projelerini ve end&uuml;stri trendlerini yak&inodot;ndan takip eder ve bu bilgileri ekibe ve &uuml;r&uuml;ne entegre eder.
 </li>
 </ul>
 
 
 
 
 
 
 Ayd&inodot;nlatma Metni
 
 
 https://kariyerim.turkcell.com.tr/Documents/Calisan_Adayi_Aydinlatma_Metni.pdf
 
 
 
 
 Yan Haklar ve Faydalar
 
 
 
 
 Ekibimizin bir &uuml;yesi olarak, rekabet&ccedil;i bir &uuml;cret, esnek &ccedil;al&inodot;&scedil;ma d&uuml;zenlemeleri, kariyer geli&scedil;imi ve ilerleme f&inodot;rsatlar&inodot; gibi bir dizi yan hak ve fayda ile bulu&scedil;ma f&inodot;rsat&inodot; yakalayacaks&inodot;n. Detaylara "https://bit.ly/TurkcellTKusagi&rsquo;&rsquo; &uuml;zerinden ula&scedil;abilirsin. 🎁▶️
 
 
 
 
 
 
 *Turkcell bir e&scedil;it f&inodot;rsat i&scedil;verenidir ve &inodot;rka, renge, dine, cinsiyete, ulusal k&ouml;kene, etnik k&ouml;kene, ya&scedil;a, fiziksel g&ouml;r&uuml;n&uuml;&scedil;e veya duruma, medeni durumuna, askerlik durumuna bak&inodot;lmaks&inodot;z&inodot;n, t&uuml;m nitelikli ba&scedil;vuru sahiplerini istihdam i&ccedil;in de&gbreve;erlendirmeye al&inodot;r.
 
 
</div>

SENIOR AI SCIENTIST

iyzico

<div>
 
 
 iyzico
 
 
 
 iyzico was founded in 2013 to provide online payment services and artificial intelligence-based payment technologies to businesses of various sizes in the world of e-commerce. By making the complex payment processes simple through its easy and secure platform, iyzico had achieved significant successes through supporting thousands of businesses in digitalization and was acquired by the global payment systems giant PayU in 2019. With such a robust structure, iyzico is operating on the principle of democratizing financial services and making them accessible for everyone alongside the services it provides to businesses.
 
 
 
 
 
 Through iyzico Buyer Protection, consumers&rsquo; concerns regarding shopping online are resolved and better experiences are enabled. Control is handed back to the consumers by 24/7 live support through the iyzico mobile app and convenience in cancellation/returns processes. To this date, more than 2 million consumers shopped online under the security provided by iyzico Buyer Protection and this number is increasing daily. Via pay with iyzico, which is a blended payment solution, millions of consumers who do not use banking can safely shop online under the belt of iyzico Buyer Protection.
 
 
 
 
 
 iyzico continues to simplify online shopping for both consumers and sellers by the simple, accessible, and innovative technologies it developed.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze large-scale structured and unstructured data from multiple sources,
 </li>
 <li>
 Build products that make use of AI, ML, and advanced statistical techniques from basic financial analysis to complex machine learning models,
 </li>
 <li>
 Come up with new ideas on the ways we detect anomalies, optimize conversions, and provide business insights through data,
 </li>
 <li>
 Design, analyze, and interpret the results of experiments,
 </li>
 <li>
 To find hidden patterns and relationships in data to provide answers to business concerns, do statistical analysis and/or data mining techniques,
 </li>
 <li>
 Collaborate with product, engineering, and risk teams to translate business challenges into data science problems,
 </li>
 <li>
 Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize model performance,
 </li>
 <li>
 Ability to communicate complicated data outputs to audiences who are business-oriented and non-technical.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, information technology, industrial engineering, mathematics or statistics,
 </li>
 <li>
 5+ years experience the related responsibilities like data science or machine learning engineering,
 </li>
 <li>
 Strong analytical thinking and approach, hands-on experience with scientific computing languages and frameworks such as Python (e.g., scikit-learn, TensorFlow, PyTorch, Flask, h2o.ai),
 </li>
 <li>
 Eager to research and apply new models and can take initiative,
 </li>
 <li>
 SQL knowledge is a must,
 </li>
 <li>
 Multi-disciplinary and cooperative ability to solve problems in diverse domains including finance, marketing, sales, product development and user experience,
 </li>
 <li>
 Knowledge of developing workflows to deploy machine learning models and find new solutions to get processes better and faster,
 </li>
 <li>
 Experience of working within the financial regulations is a plus,
 </li>
 <li>
 Scientific approach for experimentation and rapid prototyping,
 </li>
 <li>
 The ability to present ideas, insights, and solutions in a clear way,
 </li>
 <li>
 Be interested in cutting-edge artificial intelligence products and be an early adopter who has experienced them before (Llama, GPT, Gemini).
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A culture of continuous development: conferences, in-house events &amp; Tech Talks to stay up-to-date on current research and technology.
 
 P.S.:You do not need to wait to get on the stage and share your expertise with you teammates and the community
 
 
 
 Online Training Platform (Free access to Udemy, Harvard ManageMentor, Get abstract, etc.),
 
 
 Freedom under responsibility is our common mindset. That&rsquo;s how we designed our flexible working model called iyzico Homequarters. Our homequarters is in Altunizade.
 
 
 Meal &amp; Internet Allowance.
 
 
 Transportation Allowance.
 
 
 A gift voucher to meet tech needs and ergonomic workspace at home.
 
 
 Macbook (and monitor if needed)
 
 
 Employee support program: free psychological counseling, legal advice, financial advice etc.
 
 
 Private health insurance,
 
 
 1 day birth day leave.
 
 
 An iyzicoMate is assigned to help you with anything you may need on your onboarding.
 
 
 A detailed orientation program designed for you to fully grasp the iyzico culture
 
</div>

bitaksi

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

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>
 
 
 Junior Data Scientist - AI &amp; Machine Learning
 
 
 
 
 
 
 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 offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.
 
 
 Among the European leaders in Enterprise Risk Management and Wealth &amp; Asset Management solutions, Prometeia is looking for a motivated and curious part-time junior data scientist to join our AI &amp; Machine Learning team in Istanbul. The ideal candidate is passionate about learning how to use data to solve real-world problems in the finance domain. This role is designed for someone at the beginning of their data science career who wants to gain hands-on experience, make tangible contributions, and continue to grow their technical and analytical skills.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Support senior data scientists in the development of AI and machine learning models.
 </li>
 <li>
 Assist with data collection, cleaning, and exploration tasks.
 </li>
 <li>
 Contribute to feature engineering and model training using Python-based tools.
 </li>
 <li>
 Participate in testing and validating models under the guidance of senior team members.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and selection to enhance model performance.
 </li>
 <li>
 Participation in the preparation/review of simple prototypes/analytic components within more complex pipelines.
 </li>
 <li>
 Contribute to data labeling and annotation tasks, especially for text and language-based (NLP) datasets.
 </li>
 <li>
 Take part in research and experimentation to explore new data science methods and tools.
 </li>
 <li>
 Preparing and delivering technical presentations to clients and stakeholders to explain machine learning models, project outcomes, and analytical insights.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS:
 
 
 <ul>
 <li>
 Currently a junior or senior undergraduate student, or enrolled in a Master&rsquo;s program in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related field.
 </li>
 <li>
 Knowledge of statistics, Machine Learning, and major clustering, classification, and regression algorithms.
 </li>
 <li>
 Proficiency in programming languages such as Python and SQL.
 </li>
 <li>
 Familiarity with Python libraries and tools for Machine Learning (numpy/pandas, scikit-learn) and scientific computing.
 </li>
 <li>
 Eagerness to learn and contribute in a team-oriented environment and attention to detail.
 </li>
 <li>
 Good communication and presentation skills in English.
 </li>
 </ul>
 
 
 
 
 
 NICE TO HAVE:
 
 
 <ul>
 <li>
 Experience with code versioning systems (git).
 </li>
 <li>
 Experience in data wrangling, cleaning, exploration, and feature extraction.
 </li>
 <li>
 Experience in consulting or working with clients is a plus.
 </li>
 <li>
 Experience in financial institutions is a plus.
 </li>
 </ul>
 
 
 
 
 
 LOCATION:
 
 
 
 Istanbul
 
 
 
 
 
 
 WHAT WE OFFER:
 
 
 
 
 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.
 
 
 
 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.
 
 
 
 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>

Junior Data Scientist - AI & Machine Learning

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