Data Scientist


Software & Data

Construction NGN Confidential
2 weeks ago

Job Summary

We are looking for an ideal candidate to fill the position of a Data Scientist

  • Minimum Qualification:Degree
  • Experience Level:Senior level
  • Experience Length:7 years

Job Description/Requirements


Data Engineering

  • Develop the data pipelines to bring data from the various sources into central analytics database.
  • Propose initiatives to capture additional data which can be leveraged for analytics.

Data Analytics

  • Identify opportunities for leveraging data to drive business solutions.
  • Develop analytics solutions for business use as required.
  • Develop processes and tools to monitor and analyse model performance and data accuracy.
  • Drive adoption of analytic solutions in order to ensure value realisation.

Project Management

  • End-to-end management of external consultants where external support is required.


  • Bachelor’s degree from a reputable institution
  • Demonstrable technical competence via assessment exercises and project portfolio
  • Minimum of seven (7) years of experience in a similar role, with at least three (3) years at middle management level
  • Strong commercial awareness with the ability to identify opportunities and develop/grow existing businesses.
  • In-depth understanding of trends, challenges, opportunities, regulations and legislation across various industries
  • Strong problem-solving skills
  • Strong analytical skills of Innovative and creative thinking
  • Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
  • Experience visualizing/presenting data for stakeholders using: Power BI, Business Objects.


  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development
  • Performance Bonus

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