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Dhani - Senior Data Scientist - Python/Spark
2 months ago
Job Description :
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 high-quality data visualizations for internal and external purposes.
- Research, design and implement analytic and mathematical approaches and algorithms to build scalable best of class web-based analytical solutions
- Design and test analytical modules for Nielsen modeling platforms
- Partner with our Software Engineering department to build best-of-class web-based analytical solutions
- Document and present methodology inside and outside the company
- Design and prioritize work for smaller teams
- Mentor newly hired associates
Requirements :
- 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., NumPy,SciPy, Scikit-learn)
- 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
- Well-organized and capable of leading multiple mission-critical 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 short-release life-cycle (agile processes including scrum)
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