Primary Skills
Python
Spark
SQL
ScientificComputing 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 35 years of experience in Data Science and/or
Statistical analysis
Should have expertise in Python SparkSQL
Should have proficiency in writing productiongrade code using scientific
computing packages such as NumPy SciPy Scikitlearn
Should have familiarity with cloud providers like AWS or Azure
- Roles & Responsibilities
- The ideal candidate must have expertise in leading the research and development of analytic solutions with a focus on mathematical modeling statistical methods and machine learning processes. The candidate would also have the capacity to work in an agile development environment alongside software engineers and a solid foundation in developing solutions for marketing and advertising organizations.
- Responsibilities
- Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions and create highquality data visualizations for internal and external purposes.
- Research design and implement analytic and mathematical approaches and algorithms to build scalable best of class webbased analytical solutions
- Design and test analytical modules for Nielsen modeling platforms
- Partner with our Software Engineering department to build bestofclass webbased analytical solutions
- Document and present methodology inside and outside the company
- Requirements
- PhD or Masters degree in Operations Research Industrial Engineering Applied MathematicsComputer Science or Related field
- 2 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 NumPyro is a plus
- Familiarity with cloud providers (e.g. AWS Azure) is a plus
- Experience in code management docker and CI/CD pipelines is a plus
- Excellent oral and written communication skills
- Wellorganized and capable of working independently on missioncritical projects while meeting deadlines
- Quick learner with a logical mindset and analytical thinking who is passionate about technology
- Experience in shortrelease lifecycle (agile processes including scrum) is a plus
- Roles & Responsibilities
- The ideal candidate must have expertise in leading the research and development of analytic solutions with a focus on mathematical modeling statistical methods and machine learning processes. The candidate would also have the capacity to work in an agile development environment alongside software engineers and a solid foundation in developing solutions for marketing and advertising organizations.
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