
Lead Innovator
5 days ago
The position requires a skilled professional to innovate and develop machine learning and data analytics solutions.
Responsibilities include collaborating with an energetic team, working on cutting-edge technology to create tools and services.
Key activities include designing and building process automation, developing and testing statistical models, and serving as an expert in data mining and predictive analysis.
- Design and build the next iteration of process automation employing Big Data infrastructure and machine learning.
- Develop and test analytic and statistical models to improve various processes and system control needs.
- Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
Required qualifications for this role include:
- A Master's or PhD degree in Statistics, Applied Mathematics, Computer Science, or Econometrics with emphasis on computational statistics/science/engineering, data mining, machine learning, and optimization.
- Minimum 7+ years related professional experience.
- Expert-level knowledge in one or more areas of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.
- Knowledge of Computer Vision, Deep Learning, and Point Cloud Processing algorithms.
- Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
- Programming experience with SQL, shell script, Python, etc.
- Knowledge of tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
This position offers opportunities to collaborate with researchers, developers, architects, and IT professionals to develop, deploy, and maintain applications in multiple environments.
OthersPreferred qualifications include development experience with Scala, Docker, GIS data, and NoSQL databases.
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