Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.

Basic Qualifications:Bachelor's Degree complete or in progress preferably in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related fieldA minimum of (6) six years of overall experienceFamiliar with JavaSrcriptExperience with JSON parsing and YAMLExperience interacting with RESTful APIsExperience with scripting languages like Python, Bash, and PowerShellExperience with TLS/SSL to secure data in transit.

For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license.

M. S. with a minimum of 2 years’ experience or Ph. D. in Statistics, Applied Mathematics, Data Science, or Engineering majors with significant academic training in Statistics/Advanced Analytics.

Applications are also invited from candidates with major in Software Engineering / Information Technology / Management Information Systems. Minimum Requirements Academic qualifications/Level of Education: Preferably an undergraduate / associate level degree / diploma from an accredited institution, in Computer Science / Statistics / Applied Mathematics / EE / Electronics or, any equivalent technical field of study.

Bachelors or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, Engineering Technology, Information Technology, Physics, Mathematics, or any related field of study.

Bachelor’s degree in engineering, sciences, Computer Science, Physics, Applied Mathematics, or related technology field. 6 years of relevant experience in software development, technology, engineering and/or science.

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Amazon is seeking an exceptional Applied Science Manager to join AGI Info Content team.

And Python including strong OO skills; Strong problem solving abilities, good organizational skills, and the ability to work well in both team environments and independently; A BS, MS, or PhD in Electrical Engineering, Computer Science, Applied Mathematics and Statistics, or related fields in computational science and engineering.

You shall provide technical and functional guidance on machine learning, optimization, statistics, and/or applied mathematics, along with sound software engineering and development processes, to deliver business value by translating complex data into meaningful insights.

Master's degree in computer science, Statistics, Applied Mathematics, Data Science, or Machine Learning and at least with 5 years of experience or equivalent combination of education and experience in data engineering, software engineering or data science/ML role.

Knowledge in Synthetic Aperture Radar (SAR), Electro-Optical (EO), Geographic Information Systems (GIS), Geospatial Data. Project: The Software Developer will work independently and as part of a cross-functional team comprised of technical experts supporting an established and growing Intelligence Community (IC) mission.

As a part of the Information Technology (IT) group at NextEra Energy, you will work as part of a team that provides data science services to different business units across the company.

0 years of related experience with a Masters’ degree in Computer Science, Health Information Technology, Data Science, Information Systems, Software Engineering, Information Technology, Data Engineering, Applied Mathematics, Statistics, Biomedical Informatics.

Analyze and optimize crawling strategies to maximize coverage, freshness, and quality of acquired data while minimizing operational costs as well as dive deep into data to select the highest quality data for LLM model training and grounding.