Senior Engineer, Data Scientist

We are seeking a Senior Data Scientist capable of using machine learning and statistical techniques to build state-of-the-art data products (predictive analytics, prescriptive solutions, decision support, and decision automation data systems) using extensive and diverse Big Data sets from our technology development and manufacturing teams. As a Senior Data Scientist at Tror, you will • Employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed. • Interact with Data Scientists at both senior and junior levels and cross functional teams to solve business critical problems using machine learning. • Independently develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities and drive innovation. • Guide/Coach Data Scientists in Innovative methods and execution

Responsibilities and Duties

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. • Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. • Machine learning and other advanced analytical methods • Expert in Python and/or R • pySpark and/or SparkR and/or SparklyR • Knowledge of Hadoop (Hive, Spark, HBase), Snowflake is a plus • Experience in Tensorflow, pyTorch, and/or other statistical software, JUMP including scripting capability for automating analyses is a plus • Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus • Experience working with Manufacturing Execution Systems (MES) is a plus • Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position • Strong software development skills. • Strong verbal and written communication skills. • Experience working in a geographically distributed team