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Data Scientist at INFICON


INFICON's Data Science Research group in East Syracuse NY conducts research to analyze data from our products, and to automatically identify events of critical importance to our customers. Our group seeks to develop techniques that reliably identify extremely rare and unpredictable anomalies within the delicate processes that build the world's most advanced semiconductor products. We also invent algorithms to process faint signals buried in noisy mass spectral data so that we can protect people's lives from deadly chemicals.

You will apply your mastery of state-of-the-art machine learning technologies to difficult problems on noisy high-dimensional data. You will work in a multi-disciplinary team that includes experts in computer science, mathematics, chemistry, physics, electronics, and advanced semiconductor manufacturing processes. Your work will have high visibility in the company because of its potential to greatly increase the value of our products. INFICON is the top company in most of the markets we serve, so your research also has potential for great impact on the industry.

In this job, you will be given ample freedom and flexibility to explore a wide range of novel approaches, you will work closely with your colleagues, with large amounts of real data, and you will always remain focused on the goal: to create running code of high value to our customers.


Primary: Research and develop anomaly detection algorithms for multivariate time-series data.

Secondary: Enhance performance of algorithms for compound identification in mass-spectral and other sensor instruments.

Required background:

PhD or equivalent in computer science or applied mathematics, with specialization in data science and machine learning.

Experience with multivariate time series analysis and modeling techniques.

Accomplished software developer, with experience training and testing ML models on large high-dimensional data sets.

Candidates without a PhD are encouraged to apply if they have experience solving challenging data science problems, especially if in the area of multivariate time-series anomaly detection.

Preferred background:

Published papers or and/or code for analyzing time series data or process control data.

Fluency with Python, Linux, C++, common scientific computing libraries, machine learning libraries.

Prior work with unsupervised or semi-supervised ML for anomaly detection.

Knowledge of Physics or Chemometrics or Process control.

Compensation will be commensurate with experience including a competitive base salary, discretionary bonus opportunity, competitive benefits package, and relocation assistance.

INFICON, is committed to ensuring that our online application process provides an equal opportunity to all job seekers that apply without regard to race, religion, ethnicity, national origin, citizenship, gender, age, protected veteran status, disability status, genetic information, sexual orientation, or any other protected characteristic. A notice describing Federal equal employment opportunity laws is available here and here to reaffirm this commitment.

INFICON is also committed to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for an employment opportunity at INFICON and require special assistance or an accommodation during the application process, please contact Human Resources at 315-434-1100. Determination on requests for reasonable accommodations are made on a case-by-case basis.


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