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Mid/Senior Data Scientist - Optimization & Generative AI İş İlanı

LC Waikiki

LC Waikiki tarafından yayınlanan Mid/Senior Data Scientist - Optimization & Generative AIiş ilanının çalışma şekli, konumu, deneyim beklentisi ve aranan becerileri aşağıda yer alıyor. Başvurmadan önce ilan gereksinimlerini CV'ndeki gerçek deneyimlerle karşılaştır.

İstanbulEn az 2 yıl deneyim 24.09.2026
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Mid/Senior Data Scientist - Optimization & Generative AI ilanını kaydet, başvurunu aşama aşama izle ve CV'ni bu ilana göre optimize et. Kayıt ücretsiz.

Kayıt olduğunda CV analizi, ATS skoru ve ilan eşleştirme de açılır.

Ücretsiz üyelik

Mid/Senior Data Scientist - Optimization & Generative AI ilanına CV'n ne kadar uygun?

CV'ni yükle, ilandaki becerilerle eşleşme oranını gör ve başvurunu tek panodan takip et.

Mid/Senior Data Scientist - Optimization & Generative AI İş Tanımı

Are You Ready to Join LC Waikiki’s Digital Transformation Journey? 🚀 With over e-commerce operations in 14 countries, 1300 stores worldwide and a strong presence in 60 countries, we embark on a great journey embracing the philosophy that "Everyone Deserves to Dress Well." Beyond the world of fashion, we are also pursuing significant goals in technology and digital transformation. At LC Waikiki’s Digital Transformation and IT Department, we’re shaping the future with over 850 experts, focusing on innovation and collaboration. Using Agile/Scrum methodologies, we strive to become a more efficient and dynamic team every day. 🚀 We are looking for Mid/Senior Data Scientist - Optimization & Generative AI What We Offer: Our projects touch not only the retail world but also every corner of the digital realm. If you’re excited to be part of this journey, here are the opportunities awaiting you: Project Leadership and Delivery: Lead the design, development, and deployment of optimization and decision-support solutions to improve business performance and operational efficiency. Manage end-to-end delivery of data science and operations research projects, ensuring timely completion and measurable business impact. Collaborate with business, logistics, supply chain, planning, and technology teams to identify optimization opportunities and translate them into analytical solutions. Optimization Modeling and Advanced Analytics Develop and implement optimization models for supply chain, logistics, workforce planning, inventory management, replenishment, transportation, scheduling, routing, and resource allocation problems. Design and develop predictive models including demand forecasting, anomaly detection, and operational performance prediction. Apply Operations Research techniques such as Linear Programming (LP), Mixed Integer Programming (MIP), Constraint Programming (CP), Network Optimization, and Heuristic/Metaheuristic approaches. Develop simulation models and digital decision-support systems to evaluate operational scenarios. Design and track optimization and machine learning experiments and establish robust validation strategies. Generative AI and Intelligent Decision Systems Explore and develop AI-powered decision support solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures. Design AI assistants that help business users interact with optimization models, operational data, and analytical insights through natural language interfaces. Evaluate and adopt emerging AI technologies to improve business processes and decision-making capabilities. Stakeholder Management: Translate complex optimization models and analytical outputs into actionable business recommendations. Prepare and present insights, scenarios, and business impact assessments to senior leadership and stakeholders. Facilitate alignment between business objectives and technical solution design. Innovation and Research: Stay abreast of the latest developments in Operations Research, Machine Learning, Optimization, and Generative AI. Explore emerging methodologies, algorithms, and tools to improve operational performance and decision quality. Contribute to the innovation pipeline by proposing and piloting new optimization and AI solutions. Team Development and Mentoring: Mentor junior data scientists, providing guidance and support in their professional development. Foster a collaborative team environment that encourages knowledge sharing and professional growth. Who Are We Looking For? We're looking for a passionate and innovative Mid/Senior Data Scientist who enjoys solving complex operational and business problems through advanced analytics, optimization, and AI technologies. Required Qualifications Minimum of 2 years of experience (retail, e-commerce, supply chain, logistics, manufacturing, or operations preferred) in Data Science, Operations Research, Analytics, or Optimization-related roles. Strong proficiency in Python. Strong understanding of mathematical optimization techniques including Linear Programming, Mixed Integer Programming, Constraint Programming, and Heuristic Optimization approaches. Experience with optimization frameworks such as OR-Tools, Gurobi, CPLEX, Pyomo, PuLP, or similar technologies. Experience developing simulation or optimization solutions for operational decision-making problems. Strong understanding of Large Language Models (LLMs), RAG architectures, Agentic AI systems, and their practical business applications. Experience deploying batch and API-based analytical solutions in production environments. Experience with cloud platforms such as Google Cloud, AWS, or Azure. Knowledge of data engineering concepts and experience working with large-scale datasets. Strong SQL skills and familiarity with distributed processing technologies such as Spark. Strong knowledge of model evaluation methodologies, optimization KPIs, and business impact measurement. Familiarity with MLOps, model monitoring, and performance tracking concepts. Excellent analytical, problem-solving, and organizational skills. Strong presentation, communication, and stakeholder management skills. Ability to explain complex optimization and AI concepts to non-technical audiences. Preferred Qualifications Experience with logistics, transportation, warehouse optimization, workforce planning, demand forecasting, inventory optimization, or supply chain analytics. Experience developing decision intelligence platforms or optimization-based recommendation systems. Experience integrating optimization engines with machine learning and Generative AI solutions. Familiarity with simulation methodologies such as Monte Carlo Simulation or Discrete Event Simulation. What’s Waiting for You: A team culture focused on collaboration and inclusivity. The chance to work with cutting-edge technology and tools. Ongoing training and professional development opportunities. Discounts on LC Waikiki products and much more! Join Us! We’re excited to meet software developers who want to leave their mark in the digital world while helping us achieve our big goals. If this opportunity excites you, apply now and become part of our digital transformation journey! At LC Waikiki, we are committed to considering our environmental and social impacts throughout our value chain and to developing and maintaining a business model that is respectful of human rights, ethical, responsible, and sustainable. The individual in this role is expected to prioritize resource efficiency, the use of sustainable materials, responsible production and procurement practices, human rights, decent working conditions, and ethical business principles—alongside balancing cost, quality, and speed—in all decisions and practices within their scope of responsibility and influence. Furthermore, they are expected to contribute to the identification, management, and monitoring of relevant sustainability impacts, risks, and opportunities. Hiring Process: Application Interview / Vibe Coding Assessment Center Activities Reference Check Offer (Varies by position)

Mid/Senior Data Scientist - Optimization & Generative AI İlanındaki ATS Anahtar Kelimeleri

Bu ilanın metninde ATS beceri sözlüğümüzle eşleşen 14 anahtar kelime var. En sık geçenler: Generative AI (2 kez), Large language models (2 kez), Supply chain (2 kez).

Programlama dilleri, çatılar ve platformlar

  • Python · ilanda 1 kez · benzer ilanlarda %93

CV'nde karşılığı: Python ifadelerini ilandaki yazımıyla geçir; birini projesi ve ölçeğiyle bir deneyim maddesinde göster.

Veri, analitik ve yapay zekâ

  • Generative AI · ilanda 2 kez · benzer ilanlarda %27
  • Large language models · ilanda 2 kez · benzer ilanlarda %33
  • Data science · ilanda 1 kez · benzer ilanlarda %73
  • RAG · ilanda 1 kez · benzer ilanlarda %33
  • SQL · ilanda 1 kez · benzer ilanlarda %70
  • Spark · ilanda 1 kez · benzer ilanlarda %20
  • Machine learning · ilanda 1 kez · benzer ilanlarda %80

CV'nde karşılığı: Generative AI, Large language models ve Data science ile yaptığın sorguyu, panoyu ya da raporu sonucuyla anlat.

Bulut, DevOps, altyapı ve güvenlik

  • Google Cloud · ilanda 1 kez · benzer ilanlarda %30
  • AWS · ilanda 1 kez · benzer ilanlarda %37
  • Azure · ilanda 1 kez · benzer ilanlarda %30

CV'nde karşılığı: Google Cloud, AWS ve Azure için kurulum, işletim ya da otomasyon rolünü açıkça yaz.

Alan bilgisi, mevzuat, standart ve sertifikalar

  • Supply chain · ilanda 2 kez · benzer ilanlarda %7
  • Procurement · ilanda 1 kez · benzer ilanlarda %10
  • Assessment center · ilanda 1 kez · benzer ilanlarda %10

CV'nde karşılığı: Supply chain, Procurement ve Assessment center terimlerini açık adıyla, varsa kısaltmasıyla birlikte yaz.

Terimler ilan metninden kural tabanlı sözlükle çıkarıldı; sözlük dışı beceriler listelenmez.

Takibe ekle ve CV'ni bu ilana göre hazırla

Benzer İlanlarda Beceri ve Deneyim Dağılımı

Kıdem ve ek bilgiler çıkarıldığında "Data Scientist" başlığında toplanan 30 ilan (bu ilan dahil) 9 Haziran ile 19 Ekim 2026 arasında yayımlandı. Aşağıdaki oranlar bu ilanların metinlerinden sayıldı.

Benzer ilanlarda en sık geçen anahtar kelimeler
Anahtar kelimeİlanPayBu ilanda
PythonProgramlama dilleri, çatılar ve platformlar28%93Geçiyor
Machine learningVeri, analitik ve yapay zekâ24%80Geçiyor
Data scienceVeri, analitik ve yapay zekâ22%73Geçiyor
SQLVeri, analitik ve yapay zekâ21%70Geçiyor
AWSBulut, DevOps, altyapı ve güvenlik11%37Geçiyor
LLMVeri, analitik ve yapay zekâ10%33Geçiyor
RAGVeri, analitik ve yapay zekâ10%33Geçiyor
AzureBulut, DevOps, altyapı ve güvenlik9%30Geçiyor

Aranan asgari deneyim

Deneyim yılı belirten 23 benzer ilanda ortanca beklenti 3 yıl. Bu ilan en az 2 yıl istiyor; benzer ilanlarda aynı aralığın (2-3 yıl) payı %48.

Benzer ilanlarda asgari deneyim dağılımı
Asgari deneyimİlanPay
0-1 yıl1%4
2-3 yıl11%48
4-5 yıl10%43
6 yıl ve üzeri1%4

Benzer ilanların 8 tanesi (%27) İngilizce bilgisi istiyor.

Kaynak: cvanaliz'deki aktif ilanlar; bir terimin geçmesi zorunlu olduğu anlamına gelmez.

LC Waikiki Hakkında

Are You Ready to Join LC Waikiki’s Digital Transformation Journey? 🚀 With over e-commerce operations in 14 countries, 1300 stores worldwide and a strong presence in 60 countries, we embark on a great journey embracing the philosophy that "Everyone Deserves to Dress Well." Beyond the world of fashion, we are also pursuing significant goals in technology and digital transformation. At LC Waikiki’s Digital Transformation and IT Department, we’re shaping the future with over 850 experts, focusing on innovation and collaboration. Using Agile/Scrum methodologies, we strive to become a more efficient and dynamic team every day. 🚀 We are looking for Mid/Senior Data Scientist - Optimization & Generative AI Şirketin diğer ilanlarını inceleyerek ekipler ve aranan yetkinlikler hakkında daha geniş bir görünüm elde edebilirsin.

LC Waikiki iş ilanlarını gör

LC Waikiki Tarafından Yayımlanan Diğer İlanlar

Bu işverenin cvanaliz'de listelenen 19 ilanı daha var; en yeni 12 tanesi aşağıda.

Tüm LC Waikiki ilanlarını gör (20)