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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 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

<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 olan, 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>
 </ul>
 
 Tercihen;
 
 <ul>
 <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>
 
 
 
 
 
 
 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>

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

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

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

Provenir

<div><div>Who We Are 
Provenir is a global fintech company with offices across North America, the UK, and Singapore. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you&rsquo;d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!</div>
<div></div><div>What You&rsquo;ll Do 
We are seeking a commercially-minded Data Scientist to join our global team, designing and delivering solutions that are deployed across our banking and financial services clients. You will work with a variety of data sources to create, validate, and optimize AI and Machine Learning models that drive measurable business outcomes. 
Your primary focus will be to serve as the Data Science business partner for Turkey, working closely with Sales, Professional Services, and customer stakeholders to understand their needs and deliver tailored solutions. You will ensure that models and insights are both technically robust and aligned with local market requirements, regulatory expectations, and business objectives.</div>
<div></div><div>In addition, you will have the opportunity to contribute to global projects as part of the wider Data Science team. This will include sharing best practices, collaborating on model development, and supporting initiatives in other markets when needed.</div>
<div></div><div>This is a remote role with approximately 20% travel is required to clients in Turkey, typically at critical points within the delivery, like project initiation and/or handover of the solution to the client.</div>
<div></div><div>Your Responsibilities</div>
<ul><li>Identify and source relevant data to build, calibrate and deploy state-of-the-art models using the latest AI/ML technologies and methods.</li>
<li>Understand the problems of our clients, designing appropriate Data Science solutions that meet their business requirements.</li>
<li>Partner with our Solutions Architects and Engineering teams to integrate ML and AI solutions within Provenir products.</li>
<li>While working in a fast-paced environment, interpret, document and successfully communicate solutions to stakeholders, including those in non-technical and senior management roles.</li>
<li>Provide expert input into future analytical strategies and product development</li>
<li>Contribute towards the commercial success and revenue generation</li>
<li>Provide technical guidance to the Sales, Pre-Sales and Professional Services on commercial Data Science opportunities across Turkey and the rest of the world.</li>
</ul>
<div> 
Your Strengths and Skills ️</div>
<ul><li>You have a minimum of 7 years experience in a data science role, including hands-on experience in developing supervised and unsupervised advanced machine learning algorithms.</li>
<li>You have strong data wrangling and manipulation skills for merging, cleansing, and sampling data</li>
<li>You have domain experience in Fraud, Credit Risk Management or Marketing analytics.</li>
<li>You have banking and/or Financial Services experience.</li>
<li>You actively participate in team meetings and can clearly and concisely articulate.</li>
<li>You will take initiative, learn quickly and are able to adapt to shifting priorities.</li>
</ul>
<div> 
Although not essential, it would be great if you also have any of these strengths,</div>
<ul><li>You have B2B client-facing experience, where you can talk confidently about data and AI.</li>
<li>You have good knowledge of data and banking regulations (e.g. BDDK, KVKK, etc)</li>
<li>You follow best practices across the MLOps lifecycle (e.g. CI/CD, pipeline orchestration and containerization).</li>
</ul>
<div> 
Interview Process</div>
<ul><li>The interview process would typically be structured as follows:
</li><li>Initial chat. This will be with a member of our recruitment team to get a better understanding of your current situation, what you are looking for and any questions you may have.</li>
<li>Technical Challenge. This is a take home task where you will solve a typical Data Science problem in your own time. It will give you an insight into the exciting problems we solve.</li>
<li>Technical Interview. This will be with two data scientists from the global team and primarily consist of technical questions.</li>
<li>Local Team Interview. This will be with Sales Executive and Solutions Architect based in Turkey, and cover mostly business and behavioural competencies.</li>
</ul>
<div> 
What You&rsquo;ll Love about Us 
Our employees are empowered to be curious, forward-thinking leaders. We ask them to explore the uncharted and invent the unimagined. That&rsquo;s what makes Provenir unique.
 
We offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly options, along with benefits to plan for your future.
</div><div> 
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.</div></div>

Data Scientist (Turkey)

Canonical

<div>
 As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.
 
 
 Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.
 
 
 As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.
 
 
 We have a number of mid-senior level openings in our team seeking the following:
 
 
 <ul>
 <li>
 Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.
 </li>
 <li>
 Strong behavioural interviewing techniques (competency based and psychometric assessments).
 </li>
 <li>
 Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc.
 </li>
 <li>
 An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject.
 </li>
 <li>
 A high level of personal organisation to work remotely and be effective.
 
 
 </li>
 </ul>
 Location: This is a remote position based in the EMEA region
 
 
 What your day will look like
 
 
 As a Talent Scientist you will:
 
 
 <ul>
 <li>
 Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
 </li>
 <li>
 Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
 </li>
 <li>
 Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
 </li>
 <li>
 Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
 </li>
 <li>
 Consider our employer brand and how our interactions with a candidate impacts their experience.
 </li>
 <li>
 Review and streamline hiring processes and tools to drive continuous improvement.
 </li>
 <li>
 Work with external third parties and platforms to ensure we maximise our return on investment.
 </li>
 <li>
 Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.
 </li>
 <li>
 Experience of hiring talent in the technology or consulting industry.
 </li>
 <li>
 A highly data drive mindset with the ability to create measurable outcomes.
 </li>
 <li>
 Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
 </li>
 <li>
 Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.
 </li>
 <li>
 Exposure/appreciation of psychometric assessments, including interpretation.
 </li>
 <li>
 Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
 </li>
 <li>
 A high level of personal organisation and self drive to work remotely and be effective.
 </li>
 <li>
 Willingness to travel to company events 2-4 times a year, for up to two weeks each.
 
 
 </li>
 </ul>
 
 Other Skills You May Bring
 
 
 
 <ul>
 <li>
 Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
 </li>
 <li>
 Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
 </li>
 <li>
 Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.
 </li>
 <li>
 Psychometric validity and reliability metrics.
 
 
 </li>
 </ul>
 What we offer you
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 Canonical is an equal opportunity employer
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Talent Scientist

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Junior Data Scientist - AI & Machine Learning

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Senior Data Scientist

Data Scientist (Turkey)

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