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Tiger Analytics
Tiger Analytics
1001 – 5000 Zaposleni
Sponzor vizuma H1BLogistikaTrženjeZdravstveno varstvo
Tiger Analytics je svetovalno podjetje za umetno inteligenco in analitiko, ki organizacijam pomaga kompleksne podatke pretvoriti v praktične poslovne odločitve. Njegovo delo zajema podatkovne strategije, strojno učenje, inženiring umetne inteligence in poslovno inteligenco, pri čemer se osredotoča na vključevanje analitike v vsakodnevno poslovanje in širše programe digitalne preobrazbe. Podjetje deluje v panogah, kot so zdravstvo, logistika, trženje, potrošniško blago in finance, pri razvoju in širjenju podatkovno podprtih rešitev pa uporablja tehnologije v oblaku ter partnerstva s ponudniki, kot so Microsoft, Google Cloud in AWS.
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Delovna mesta v podjetju

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.

USZdružene države AmerikeHibridnoPolni delovni časSeniorZahtevani Jezik: angleščinaPodatkovni znanstvenik
NumpyOblakPandasPythonPyTorchScikit-LearnSQLTensorFlow

Opis

  • 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.

Zahteve

  • 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.

Ugodnosti

  • 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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