Ambush
Ambush
Ambush is a people-focused consulting company that helps organizations build and integrate remote design and engineering teams. It provides software development and design services through long-term partnerships, working with clients in areas including healthcare, finance, and privacy. Its approach centers on finding skilled professionals, supporting their retention, and making remote teams work effectively within client organizations.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

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

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