Radiansys Inc. · 10 hours ago
Computer Vision Model Data Scientist - Only on W2
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Responsibilities
Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them
Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment
Competency in commonly used data science and/or operations research programming languages, packages, and tools.
Hands-on and theoretical experience of data science/machine learning models and algorithms
Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
Competency in the mathematical and statistical fields that underpin data science
Mastery in systems thinking and structuring complex problems
Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
Desired: experience building computer vision models
Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)
Qualification
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Required
Bachelor’s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
4 years in data science for business (or 2 years, if possess master’s degree).
Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them.
Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment.
Competency in commonly used data science and/or operations research programming languages, packages, and tools.
Hands-on and theoretical experience of data science/machine learning models and algorithms.
Ability to synthesize complex information into clear insights and translate those insights into decisions and actions.
Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
Competency in the mathematical and statistical fields that underpin data science.
Mastery in systems thinking and structuring complex problems.
Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies.
Preferred
Master’s degree in one of the above areas.
Experience building computer vision models.
Experience with AWS technologies (S3, GroundTruth, Sagemaker).
Company
Radiansys Inc.
Radiansys Inc ( Established in 2007 ) is a technology company based in San Francisco Bay Area. Our development center is located in Gurgaon, India.
H1B Sponsorship
Radiansys Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase