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Tiger Analytics
Tiger Analytics
1001 – 5000 Darbinieki
H1B vīzas sponsorsLoģistikaMārketingsVeselības aprūpe
Tiger Analytics ir mākslīgā intelekta un analītikas konsultāciju uzņēmums, kas palīdz organizācijām pārvērst sarežģītus datus praktiskos biznesa lēmumos. Uzņēmuma darbība aptver datu stratēģiju, mašīnmācīšanos, mākslīgā intelekta inženieriju un biznesa informācijas analīzi, īpašu uzmanību pievēršot analītikas integrēšanai ikdienas darbībā un plašākās digitālās pārveides programmās. Uzņēmums darbojas veselības aprūpes, loģistikas, mārketinga, patēriņa preču un finanšu nozarēs, izmantojot mākoņtehnoloģijas un sadarbojoties ar tādiem pakalpojumu sniedzējiem kā Microsoft, Google Cloud un AWS, lai izstrādātu un mērogotu uz datiem balstītus risinājumus.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
MākonisNumpyPandasPythonPyTorchScikit-LearnSQLTensorFlow

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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