Experience : 3 5 years
Location : Mumbai(onsite)
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
Requirement:
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
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
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