Machine Learning Scientist

Summary:

We are looking for outstanding machine learning scientists who will be responsible for conducting applied research by conceptualizing, designing, implementing and validating potential models for use in production systems.

Job Functions:

  • Gather and analyze data, identify key prediction/classification problems, devise solutions and build prototypes
  • Formulate machine learning approaches while paying attention to business metrics, design features from available data; train, evaluate, and deploy models
  • Research and implement methodologies to measure the impact of the technology
  • Research, design and trial statistical and machine learning models to support Fusion’s optimization products and teams
  • Assist product and engineering teams in deploying models to production through technical specifications, collaboration and ad-hoc training in the mathematical concepts used
  • Train data analysts and operational teams in using these models
  • Investigate data and performance anomalies
  • Assist sales and marketing teams in major evangelization efforts

Minimum Qualifications:

  • M.S. or Ph. D in Statistics or Machine learning or equivalent
  • 0 to 2 years of relevant experience
  • Complete autonomy in Python Scikit or R programming (e.g., engineer features, train models, perform ad-hoc simulations, report through charts and summary tables)
  • Fluent use of SQL databases & data files
  • Good knowledge of Bayesian Statistics (e.g., Posterior updates & Conjugate distributions, Bayesian Networks, Markov Chain Monte Carlo)
  • Good knowledge of common machine learning algorithms (e.g., Logistic Regression, Random Forests, Gradient Boosting, Matrix Factorization, Unsupervised Learning)
  • Knowledge of Multi-Armed Bandits algorithms (e.g., UCB, Thompson Sampling, Contextual Bandits)

Add-On Skills

  • Experience with advertising or conversion optimization (e.g., AdWords, Google Shopping, Real Time Bidding, Conversion funnels, Email marketing)
  • Experience with parallel frameworks (e.g., Hadoop, Spark)
  • Experience designing architectures and technical specifications with IT teams

Apply: