Responsibilities
- Explore various statistical and machine learning models, explore data features, generate metrics, and evaluate results associated with collection and analysis of chromatographic and mass spectrometric data
- Assist subject matter experts (SMEs) in model evaluation and stakeholder presentations
- Use object-oriented programming and functional programming best practices to maintain codebases and write unit tests
- Contribute to the preparation of technical reports, patent applications, and transferable protocols
- Contribute to the construction and maintenance of the AWS data pipeline
- Maintain up-to-date knowledge of relevant scientific literature
Qualifications
- 2 or more years of practical experience in machine learning
- S. in computer science, data science, or related discipline or . with 2 or more years experience
- Experience in model development using Python for machine learning, statistical, and / or mechanistic models.
- Robust programming skills in Python (., numpy, pandas, scipy, scikit-learn)
- Comfortable with Git version control, BASH, or command prompt.
- Comfortable discovering and driving new modeling techniques and best practices from papers, text books, and other technical documentation
- Able to communicate results using meaningful metrics and visualizations to managers and stakeholders and receive feedback.
Preferred Qualifications :
- Experience with one or more of the following is desirable : 1) predictive maintenance or other time series classification and prediction applications, 2) knowledge bases and semantic reasoning, 3) probabilistic programming and Bayesian inference, 4) big data analytics and pipelines
- Proficiency with AWS Lambda, S3, EC2, or Redshift
- Experience with containerizing models and deploying them to AWS
- Knowledge of an object-oriented or functional programming language, such as Java, C#, Scala
We know that sometimes the perfect candidate does not exist, and that people can be put off applying for a job if they do not fit all the requirements.
If you are excited about working for us and have most of the skills or experience we are looking for, please go ahead and apply.
You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.
As such, Waters is proud to be an Equal Opportunity Employer and is committed to maintaining a diverse and inclusive work environment.
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