Innovative Data Scientist
2 weeks ago
We are seeking a skilled Machine Learning Innovator to join our team.
The successful candidate will have a strong background in data analytics and machine learning, with experience in designing and building process automation for large-scale systems.
Key Responsibilities:
- Develop and implement predictive models to improve data-driven processes and system control needs.
- Design and build big data infrastructure to support machine learning applications.
- Mentor and guide junior team members on machine learning methodologies and tools.
Requirements:
- Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, or related field.
- 7+ years of experience in machine learning, data mining, and statistical modeling.
- Expert-level knowledge in regression, clustering, decision trees, Bayesian network analysis, and other advanced data mining techniques.
- Familiarity with computer vision, deep learning, and point cloud processing algorithms.
- Proficiency in Python, R, Matlab, SAS, SQL, shell script, and scripting languages.
- Experience working with big data tools such as Hadoop, Spark, Pig, Hive, and NoSQL databases.
Preferred Qualifications:
- Development experience with Scala, Docker, and GIS data.
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