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Ambush
Ambush
51 – 200 Angajați
Sponsor pentru viza de lucrător calificatAsistență medicalăConsultanțăLogistică
Ambush este o companie de consultanță axată pe oameni, care ajută organizațiile să formeze și să integreze echipe de design și inginerie la distanță. Oferă servicii de dezvoltare software și design prin parteneriate pe termen lung și lucrează cu clienți din domenii precum sănătatea, finanțele și protecția vieții private. Abordarea sa pune accent pe găsirea profesioniștilor calificați, sprijinirea retenției acestora și asigurarea unei colaborări eficiente a echipelor la distanță în cadrul organizațiilor clienților.
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Locurile de muncă ale companiei

Senior Data Scientist / ML Engineer

Build forecasting, optimization, and AI solutions at Ambush, an engineering and strategy consultancy. Develop secure Python services and take machine learning systems into production.

USStatele Unite ale AmericiiRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăSpecialist în știința datelor
AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonScikit-LearnSQL

Descriere

  • Turn planning, operations, and sales questions into measurable modeling problems
  • Build demand forecasting models for regular, irregular, and sparse demand
  • Formulate and solve optimization problems with linear and mixed-integer programming solvers
  • Use simulation to evaluate scenarios
  • Deploy, version, monitor, and retrain production models with data engineering teams
  • Build and maintain Python and FastAPI services on AWS, Azure, or Google Cloud
  • Apply security best practices
  • Design, build, and deploy AI-enabled applications
  • Bring machine learning solutions through to production

Cerințe

  • Strong foundations in classical machine learning and statistics, including regression, trees and boosting, regularization, probability, and prediction intervals
  • Sound validation practices, including temporal backtesting without data leakage, and metrics connected to business goals
  • Experience with time series and demand forecasting
  • Operations research experience, including formulating optimization problems and solving them with Pyomo, OR-Tools, PuLP, or similar tools
  • Familiarity with Monte Carlo and discrete-event simulation, such as SimPy
  • Conceptual understanding of inventory and supply chain topics, including safety stock, service level, lead time, and turnover
  • Proficiency in Python data tools, including pandas, NumPy, and scikit-learn
  • Advanced SQL skills
  • Production-grade backend experience
  • Demonstrated experience taking models into production, including deployment, monitoring, drift detection, and retraining
  • Practical experience with a major cloud platform
  • Experience with API design and backend security fundamentals
  • A master's or doctoral degree in operations research, industrial engineering, statistics, or another quantitative field is preferred
  • Senior-level experience

Beneficii

  • People-first company culture
  • Supportive, trusted, and empowering work environment
  • Collaborative team with a culture of mutual support
  • Remote work

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