Arşiv İş İlanı

Bu ilan kaynak sitede en son 17.09.2026 görüldü; kapanmış olabilir. Aynı işverenin güncel ilanları için şirket sayfasına bakabilirsin.

Senior Data Scientist İş İlanı

MobileAction

MobileAction tarafından yayınlanan Senior Data Scientistiş ilanının çalışma şekli, konumu, deneyim beklentisi ve aranan becerileri aşağıda yer alıyor. Başvurmadan önce ilan gereksinimlerini CV'ndeki gerçek deneyimlerle karşılaştır.

AnkaraEn az 5 yıl deneyim 09.06.2026
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CV'ni yükle, ilandaki becerilerle eşleşme oranını gör ve başvurunu tek panodan takip et.

Senior Data Scientist İş Tanımı

About Us MobileAction is a leading app growth and analytics platform that has been empowering developers, marketers, and global brands to make smarter decisions across the mobile ecosystem since 2013. Powered by large-scale data, machine learning, and AI, our products span ASO, Apple Ads automation, competitive intelligence, and market analytics — supporting over $1 billion in Apple Ads spend in 2025, with enterprise customers including Google, Meta, Spotify, and Grammarly. In 2026, MobileAction joined InMobi, one of the world's leading advertising and AI technology companies, accelerating our mission to build next-generation mobile growth solutions. Here, you'll tackle complex real-world problems, work with large-scale datasets, and ship innovative AI-powered products that create measurable impact for customers around the globe. About The Role As a Senior Data Scientist at MobileAction, you will work at the intersection of data, machine learning, and AI to solve high-impact problems in mobile growth. You will build intelligent systems, and turn large-scale data into actionable product and business outcomes. Working in a rapidly evolving environment, you’ll continuously explore new technologies, experiment with innovative approaches, and contribute to the development of next-generation solutions. What You’ll Do Conduct exploratory data analysis to identify trends, opportunities, and actionable business insights. Design, develop, and maintain statistical, predictive, and machine learning models at the production level and/or support decision-making. Design and build AI-driven agentic systems that automate complex workflows and enhance decision-making. Build reliable data pipelines, dashboards, and analytical tools to improve reporting and operational efficiency. Partner with product, engineering, and business teams to translate business challenges into data-driven solutions. Ability to translate analytical insights, product concepts, and technical designs into clear, actionable results and comprehensive documents that align technical solutions with business objectives. Stay current with industry trends, emerging technologies, and advancements in data science, machine learning, and AI. Contribute to the team’s AI expertise by sharing knowledge, best practices, and technical insights. What You’ll Bring Bachelor’s degree or equivalent experience in quantitative fields (Computer Science, Engineering, Statistics, Mathematics, etc.) 5+ years of applied experience as a data scientist/machine learning engineer, preferably in mobile industries, OR ability to prove knowledge and passion for this area. Proficiency in Python for data analysis, model training, automation, and solution development. Having deep expertise in AI and machine learning development, including RAG solutions, NLP, clustering, classification, predictive modeling, and related algorithms. Strong algorithmic development mindset with the ability to design, optimize, and scale solutions for complex data and business challenges. Ability to effectively leverage AI tools and technologies to accelerate development, enhance productivity, and deliver high-impact solutions. Writing complex and efficient queries with SQL Having a curious mindset to find hidden value in the data Being detail-oriented to check data integrity and correctness Strong communication and organizational skills Self-motivated with the ability to work independently Excellent verbal and written communication skills in English. Willingness to learn mobile app economy dynamics Nice to have Experience with LLMs, Agentic AI, prompt engineering, RAG systems, LangChain, or similar frameworks Knowledge of auction-based systems, bid optimization strategies, and algorithmic approaches to performance marketing. Experience applying reinforcement learning techniques to optimize bidding strategies and other sequential decision-making systems in dynamic environments. Knowledge of experimental design and hypothesis testing Experience of deploying models into/writing services to the production systems, considering time and memory constraints Experience working with high-volume and high-velocity data Culture Open, collaborative, and high-trust environment Fast-moving startup mindset with global scale impact Motivated, inspiring co-workers Strong focus on learning, ownership, and technical excellence Opportunity to work on real-world problems with visible impact Continuous feedback and transparent communication culture Impatient with Actions, patient with Results What We Offer Competitive USD salary Private Health Insurance Top-notch tech equipment English-speaking and multinational work environment. Free breakfast every day Unlimited snack bar Flexible work hours Monthly Food Allowance Unlimited online courses Mobile Action is an equal-opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran’s status, age, or disability. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Data Scientist İlanındaki ATS Anahtar Kelimeleri

Bu ilanın metninde ATS beceri sözlüğümüzle eşleşen 8 anahtar kelime var. En sık geçenler: Machine learning (6 kez), RAG (2 kez), Data science (1 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

  • Machine learning · ilanda 6 kez · benzer ilanlarda %80
  • RAG · ilanda 2 kez · benzer ilanlarda %33
  • Data science · ilanda 1 kez · benzer ilanlarda %73
  • NLP · ilanda 1 kez · benzer ilanlarda %13
  • SQL · ilanda 1 kez · benzer ilanlarda %70
  • LLMs · ilanda 1 kez · benzer ilanlarda %33
  • LangChain · ilanda 1 kez · benzer ilanlarda %7

CV'nde karşılığı: Machine learning, RAG ve Data science ile yaptığın sorguyu, panoyu ya da raporu sonucuyla anlat.

Yabancı dil

İlanda belirtilen dil beklentisi: İngilizce. Seviyeni ölçülebilir yaz (ör. B2).

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%37Geçmiyor
LLMVeri, analitik ve yapay zekâ10%33Geçiyor
RAGVeri, analitik ve yapay zekâ10%33Geçiyor
AzureBulut, DevOps, altyapı ve güvenlik9%30Geçmiyor

Aranan asgari deneyim

Deneyim yılı belirten 23 benzer ilanda ortanca beklenti 3 yıl. Bu ilan en az 5 yıl istiyor; benzer ilanlarda aynı aralığın (4-5 yıl) payı %43.

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.

MobileAction Hakkında

MobileAction is a leading app growth and analytics platform that has been empowering developers, marketers, and global brands to make smarter decisions across the mobile ecosystem since 2013. Powered by large-scale data, machine learning, and AI, our products span ASO, Apple Ads automation, competitive intelligence, and market analytics — supporting over $1 billion in Apple Ads spend in 2025, with enterprise customers including Google, Meta, Spotify, and Grammarly. In 2026, MobileAction joined InMobi, one of the world's leading advertising and AI technology companies, accelerating our mission to build next-generation mobile growth solutions. Here, you'll tackle complex real-world problems, work with large-scale datasets, and ship innovative AI-powered products that create measurable impact for customers around the globe. About The Role As a Senior Data Scientist at MobileAction, you will work at the intersection of data, machine learning, and AI to solve high-impact problems in mobile growth. You will build intelligent systems, and turn large-scale data into actionable product and business outcomes. Working in a rapidly evolving environment, you’ll continuously explore new technologies, experiment with innovative approaches, and contribute to the development of next-generation solutions. What You’ll Do Conduct exploratory data analysis to identify trends, opportunities, and actionable business insights. Design, develop, and maintain statistical, predictive, and machine learning models at the production level and/or support decision-making. Design and build AI-driven agentic systems that automate complex workflows and enhance decision-making. Build reliable data pipelines, dashboards, and analytical tools to improve reporting and operational efficiency. Partner with product, engineering, and business teams to translate business challenges into data-driven solutions. Ability to translate analytical insights, product concepts, and technical designs into clear, actionable results and comprehensive documents that align technical solutions with business objectives. Stay current with industry trends, emerging technologies, and advancements in data science, machine learning, and AI. Contribute to the team’s AI expertise by sharing knowledge, best practices, and technical insights. What You’ll Bring Bachelor’s degree or equivalent experience in quantitative fields (Computer Science, Engineering, Statistics, Mathematics, etc.) 5+ years of applied experience as a data scientist/machine learning engineer, preferably in mobile industries, OR ability to prove knowledge and passion for this area. Proficiency in Python for data analysis, model training, automation, and solution development. Having deep expertise in AI and machine learning development, including RAG solutions, NLP, clustering, classification, predictive modeling, and related algorithms. Strong algorithmic development mindset with the ability to design, optimize, and scale solutions for complex data and business challenges. Ability to effectively leverage AI tools and technologies to accelerate development, enhance productivity, and deliver high-impact solutions. Writing complex and efficient queries with SQL Having a curious mindset to find hidden value in the data Being detail-oriented to check data integrity and correctness Strong communication and organizational skills Self-motivated with the ability to work independently Excellent verbal and written communication skills in English. Willingness to learn mobile app economy dynamics Nice to have Experience with LLMs, Agentic AI, prompt engineering, RAG systems, LangChain, or similar frameworks Knowledge of auction-based systems, bid optimization strategies, and algorithmic approaches to performance marketing. Experience applying reinforcement learning techniques to optimize bidding strategies and other sequential decision-making systems in dynamic environments. Knowledge of experimental design and hypothesis testing Experience of deploying models into/writing services to the production systems, considering time and memory constraints Experience working with high-volume and high-velocity data Culture Open, collaborative, and high-trust environment Fast-moving startup mindset with global scale impact Motivated, inspiring co-workers Strong focus on learning, ownership, and technical excellence Opportunity to work on real-world problems with visible impact Continuous feedback and transparent communication culture Impatient with Actions, patient with Results Şirketin diğer ilanlarını inceleyerek ekipler ve aranan yetkinlikler hakkında daha geniş bir görünüm elde edebilirsin.

MobileAction iş ilanlarını gör

MobileAction Tarafından Yayımlanan Diğer İlanlar

Bu işverenin cvanaliz'de listelenen 4 ilanı daha var.

Tüm MobileAction ilanlarını gör (5)