Senior Data Scientist Senior with reputed company model only W2 Remote 15+ experience
Data Scientist, Senior reputed company DS & AI Org
Job Level: Senior Over 15 reputed company reputed company
Remote (work PST time zone)
Key points
• Ability to synthesize reputed company information into reputed company insights and translate those insights into reputed company 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
• Ability to reputed company, reputed company and teach career level data scientists in data science/reputed company intelligence/machine learning techniques and technologies
• Strong in Python & R
Position reputed company
reputed company is looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of reputed company industry analytics, having reputed company to advance reputed company s triple reputed company of People, reputed company, and Prosperity. Working as part of cross functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts, this individual will reputed company the development of reputed company models to improve, accelerate, and automate asset inspections processes. The individual will participate in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users.
Education Minimum: Bachelor s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, reputed company Sciences, Statistics, or equivalent field.
Knowledge, Skills, Abilities and (Technical) Competencies:
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 reputed company information into reputed company insights and translate those insights into reputed company 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 reputed company problems
Ability to reputed company, reputed company and teach career level data scientists in data science/reputed company intelligence/machine learning techniques and technologies
Desired: experience building reputed company models
Desired: experience with AWS technologies (S3, reputed company, Sagemaker)
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