Senior Machine Learning/ Data Science Engineer
3 weeks ago
The ultimate goal will be to help advance our technology capabilities and enable efficient engineering.
- Building analytic systems and predictive models.
- Ensuring data quality, integrity and instantaneous availability.
- Interpreting and analyzing data problems.
- Visualizing data and creating reports/ dashboards.
- Optimizing the performance of data-driven product design and testing.
- Experimenting with new models and techniques.
- Data analysis of NeoSpectra production statistics.
- Enabling data-driven engineering decisions and directions
- BSs in Computer Science, Computer Engineering, Electronics & Communication Engineering, Data Science, Mathematics or similar field.
- Proven experience as a Data Scientist, or in a Machine Learning role (or similar role) with 3-5 years of experience.
- Solid understanding of machine learning, data analysis and AI techniques.
- Exposure to the end-to-end machine learning pipeline.
- Knowledge of data engineering, management and visualization techniques.
- A knack for statistical analysis and predictive modeling.
- Deep knowledge of Python and Excel
- Excellent understanding of statistics, multivariable calculus, and linear algebra.
- Self-starter with demonstrated quantitative analysis and problem-solving skills.
- Able to proactively communicate with different teams and work under pressure.
- Storytelling and communication through dashboards and presentations.
- Experience in Chemometric and Spectroscopy is a plus
- Experience with SQL and MySQL databases or equivalent is a plus
- Experience in software development programming skills and knowledge of Java, C, and MATLAB, or equivalent is a plus.
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