Tips: Provide a summary of the role what success in the position looks like and how this role fits into the organization overall.
Responsibilities
Be specific when describing each of the responsibilities. Use genderneutral inclusive language.
Example: Determine and develop user requirements for systems in production to ensure maximum usability
Qualifications
Primary Skills
Python
Spark
SQL
Scientific Computing Packages(NumPy SciPyScikitlearn)
Bayesian and Frequentist Statistics
NumPyro
Cloud Providers (AWS Azure)
Oral and Written Communication
Secondary Skills
Data Science
Statistical Analysis
Mathematical Modeling
Machine Learning
Prototype Development
Data Visualization
Sourcing Guidelines
Candidates with at least 69 years of experience in Data Science and/or
Statistical analysis
Should have expertise in Python Spark SQL
Should have proficiency in writing productiongrade code using scientific
computing packages such as NumPySciPy Scikitlearn
Should have familiarity with cloud providers like AWS or Azure
PhD or Masters degree in Operations Research Industrial Engineering Applied Mathematics Computer Science or Related field
4 yrs experience in working in Data Science and/or Statistical analysis
Expertise in Python Spark SQL or other modern programming languages
Experience in using machine learning libraries and techniques
Proficient in writing production grade code using scientific computing packages (e.g. NumPySciPy Scikitlearn)
Experience with Bayesian and Frequentist statistics
Experience with cloud providers (e.g. AWS Azure)
Experience in code management docker and CI/CD pipelines
Experience with NumPyro is a plus
Wellorganized and capable of leading multiple missioncritical projects simultaneously while meeting deadlines
Excellent oral and written communication skills
Attention to detail quality and accuracy in all work and interactions
Quick learner with a logical mindset and analytical thinking who is passionate about technology
Experience in shortrelease lifecycle (agile processes including scrum)
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