Job description

Primary Responsibilities

  • Design, develop, and iterate on world class algorithms and predictive models, leveraging statistical, machine learning, and AI methods, particularly in the areas of time series forecasting and anomaly detection
  • Deploy models for inference within mission critical manufacturing environments, optimizing for real-time and near time response
  • Define model success, provide evidence regarding the performance of your models
  • Present and communicate the data insights/findings (preferably actionable insights) to both specialists as well as a non-technical audience
  • Provide technical direction and supervision to data science team
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Collaborate with business subject matter experts to select the relevant sources of information
  • Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements
  • Collaborate with process domain experts on what data to collect and quality of data
  • Define Metrics for ML model and hyperparameter optimization

Experience:

  • Master’s Degree/PhD in engineering, science, computer science required
  • 3+ years of industrial experience using predictive models, data science,
  • Demonstrated skills in time series data analysis
  • Demonstrated experience in DL including LSTM, RNN and CNN
  • Experience with cloud technologies; AWS, Azure, Databricks, or Hadoop/Spark
  • Experience in interacting with data ingestion pipelines or data warehouse
  • Excellent statistical intuition and knowledge of various analytical approaches, Bayesian techniques

Hard Skills:

  • Strong knowledge of statistics and experience using statistical packages for analyzing large datasets
  • Expertise with popular data analysis libraries like Numpy, Pandas, Scikit-learn, SciPy, Matplotlib, PyTorch, Tensorflow, Pyro, Spark ML, StatsModel
  • Working on Linux ML libraries and compilation
  • Expertise in one or more of the following languages: MatLab, Python, R, C, C++, java
  • Expertise with data visualization
  • Proficiency in advanced machine learning methods, including comprehension of theory, modeling/identification strategies and limitations and pitfalls
  • Experience with Code development tools like GitHub

Soft Skills:

  • Excellent interpersonal, analytical, computer & software skills
  • Experience deploying models in local or cloud environments
  • Ability to explain moderately complex information to others in concise manner
  • Good written and presentation skills
  • Intellectual curiosity, entrepreneurial drive, innovative thinking and problem-solving skills
  • Willingness and ability to travel, as necessary

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