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Tiger Analytics
Tiger Analytics
1 001 – 5 000 Xodimlar
H1B vizasi homiysiLogistikaMarketingSog‘liqni saqlash
Tiger Analytics tashkilotlarga murakkab ma’lumotlarni amaliy biznes qarorlariga aylantirishda yordam beradigan sun’iy intellekt va analitika bo‘yicha konsalting kompaniyasidir. Uning faoliyati ma’lumotlar strategiyasi, mashinaviy o‘qitish, sun’iy intellekt muhandisligi va biznes-analitika yo‘nalishlarini qamrab oladi. Kompaniya analitikani kundalik operatsiyalarga hamda keng qamrovli raqamli transformatsiya dasturlariga joriy etishga e’tibor qaratadi. Firma sog‘liqni saqlash, logistika, marketing, iste’mol tovarlari va moliya kabi turli sohalarda ishlaydi. Ma’lumotlarga asoslangan yechimlarni ishlab chiqish va kengaytirish uchun bulutli texnologiyalar hamda Microsoft, Google Cloud va AWS kabi provayderlar bilan hamkorliklardan foydalanadi.
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Kompaniyadagi ish o‘rinlari

Senior Data Scientist, Banking and Financial Services

Build machine learning and predictive models for Tiger Analytics’ banking and financial services clients. Turn financial challenges into scalable AI and machine learning solutions.

USAmerika Qo‘shma ShtatlariGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
BulutNumpyPandasPythonPyTorchScikit-LearnSQLTensorFlow

Tavsif

  • Develop and optimize machine learning and statistical models for financial prediction, credit and risk, fraud detection, and customer segmentation.
  • Create production-ready Python code for data preparation, feature engineering, model training, and evaluation.
  • Work with business stakeholders, product managers, and engineers to clarify needs and deliver data-driven solutions.
  • Partner with MLOps and cloud teams to move models from prototypes into scalable production environments.
  • Monitor model performance and drift over time.
  • Explain analytical findings, business impact, and technical methods to technical teams and business leaders.
  • Lead strategic work on enterprise AI adoption, cloud-native data modernization, and measurable business outcomes.
  • Work across regions with AI, data, engineering, and consulting teams to deliver solutions and strengthen strategic client partnerships.

Talablar

  • 6–10 years of experience in data science, advanced analytics, or machine learning.
  • Demonstrated experience in banking or financial services, such as consumer banking, risk analytics, fraud prevention, wealth management, or credit modeling.
  • Hands-on proficiency in Python and its scientific ecosystem, including Pandas, NumPy, Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
  • Experience designing and building complex AI and machine learning models across the full development lifecycle.
  • Strong SQL skills.
  • Experience working with large structured and unstructured datasets.
  • Bachelor’s or master’s degree in computer science, data science, statistics, applied mathematics, engineering, or a related quantitative field.

Imtiyozlar

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Retirement accounts
  • Long-term disability coverage
  • Short-term disability coverage
  • Life insurance
  • HSA/FSA accounts (USA)
  • Discretionary time off
  • Ongoing learning and AI upskilling
  • Hands-on experience with emerging technologies
  • Opportunities to develop expertise in generative AI, agentic AI, and next-generation data platforms
  • Career development opportunities
  • High level of individual responsibility
  • Equal employment opportunities

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GibridTo‘liq stavkaSeniorYetakchiTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
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