Senior Data Scientist

2 weeks ago


Johannesburg, Gauteng, South Africa eSoft Development and Technologies Full time

To be considered for this position you should have:

  • 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
  • Evidence of successfully completed projects (provide link to GitHub repos if possible; alternatively, provide a detailed description of relevant projects).
  • Proficient with R programming
  • Understanding of AI/ML algorithms and statistical computing
  • 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 reengineering
  • 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

Competencies:

  • High proficiency in developing endtoend automated solutions using R statistical computing software
  • Excellent knowledge of R Markdown or Quarto files (including customised LaTeX output)
  • Strong knowledge of the following R packages would be advantageous: dplyr, tidyr, ggplot2, purrr, stringr, readxl, knitr, glue, gt, kableExtra, testthat
  • Knowledge of working with the renv package for package versioning would be advantageous
  • Knowledge of RStudio Workbench, RStudio Connect and RStudio Package Manager would be beneficial
  • High proficiency in using Git version control in conjunction with GitHub

Additional requirements include:

  • Be taskorientated, with time management skills to operate in a deadlinedriven
  • Environment that often requires working under pressure
  • Be a motivated selfstarter with the ability to develop innovative solutions to complex problems
  • Be able to work independently as well as within a team/project environment.
  • Good communication and interpersonal skills Analytical skills
  • Building trust
  • Service orientation
  • Decision making
  • Verbal and written communication
  • Time and work management
  • Problem solving and analysis
  • Contribute to team success
  • Solid knowledge of the Software Development life cycle

Qualifications/ Certification:

  • A Bachelor's degree in Economics, Finance, Statistics, Data Science or Computer Science
  • At least five years' professional experience developing solutions in R and Evidence of successfully completed projects (provide link to GitHub repos if possible; alternatively, provide a detailed description of relevant projects).

The following will be an added advantage

  • Master's degree in Engineering, Computer Science, Mathematics, IT (or equivalent experience)

Key deliverables

  • R Markdown files for each report that are linked to the Shiny frontend: Memorandum
  • Commercial Banks claims


Memorandum
  • Claims to NT o LGS Quarterly Report to NT
  • LGS Operation Report


Memorandum
  • Amortisation schedule reconciliation report final


Memorandum
  • Management accounts
  • LGSGC Trend Analysis Report
  • An R Markdown file that performs validation checking and testing of the final produced values to ensure accuracy and highlight any potential error outcomes
  • Detailed documentation of the developed solutions, including breakthroughs, using R Markdown Producing the following artefacts
  • Timeline documents
  • Technical solution document
  • Unit testing document
  • Maintenance Manual
  • Deployment documents
  • Release Notes
  • Change Request documentation
  • Working ICT solution

Job Type:
Temporary

Contract length: 12 months

Education:

  • Bachelors (preferred)

Experience:

  • R programming: 3 years (preferred)
- developing solutions in R: 5 years (preferred)
Data Scientist: 6 years (preferred)

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