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Senior Data Scientist Lwsds
2 weeks ago
An R Markdown file containing various diagnostics and testing procedures to ensure the accuracy of the final produced values is also required.
Formal qualifications:
A Bachelor's degree in Economics, Finance, Statistics, Data Science, or Computer Science.
At least 3+ years of experience in R programming (rare exceptions for highly skilled developers) and developing solutions in R.
Evidence of completed projects (provide a link to GitHub repos if possible; alternatively, provide a detailed description of relevant projects).
Working knowledge of descriptive analytics, predictive analysis, and statistics.
Expertise in one or more scripting languages, such as Python, Perl, etc.
Proficient with database technologies such as SQL.
Experience with Data sources and Databases interfaces.
Experience with RUnit for testing and REST APIs.
Knowledge of business analysis, system design, and business process re-engineering.
Fluent in English to communicate effectively.
Strong communication and interpersonal skills working with diverse teams.
The following will be an added advantage.
Comfortable with Agile project delivery methodologies
Excellent analytical and interpersonal skills
Knowledge of R-Studio and Python
Role-specific knowledge:
Design and implement analytics solutions as per client requirements.
Collaborate with various teams to develop data processing systems.
Write high-quality, effective code for advanced data analysis, manipulation, and data modeling.
Troubleshoot issues to ensure the system runs properly.
Analyse, visualize, and communicate data insights to help businesses make informed decisions.
Perform unit, functional, and integration testing.
Develop new models and refactor existing ones using R.
Create, implement, and integrate APIs.
Deploy coding standards and advanced guidelines to ensure efficient R programming.
Create documentation and specifications for R interfaces.
Between - 7 Years
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