Data Scientist

 

Recruiter:

HR Genie

Job Ref:

MM Feb 14

Date posted:

Wednesday, February 24, 2021

Location:

Pretoria, South Africa

Salary:

Market related


SUMMARY:
Data Scientist with experience in the banking / finance sector

POSITION INFO:

WE ARE ASSITING OUR CLIENT THAT IS BASED IN PRETORIA TO FILL A ROLE OF A DATASCIENTIST

THIS IS A CONTRACT ROLE FOR 3 YEARS

The following experience is required for this role:

  • 7-8 years of experience of hands-on data science role 
  • Previous experience of building risk data tools should be beneficial in risk based supervisory environment, but not required
  • A toolkit of modern data science techniques
  • Demonstrated competence in application of logic to problems.
  • Demonstrated competence in research and problem resolution. 
  • Proficient in Word, Access, Excel, PowerPoint
  • Ability to work in team and independently
  • At least 7 years in a strategy or analytics role with in financial services industry required.
  • Data Science experience preferred: Regressions, Clustering, Decision Trees, Ensemble learning like Boosting/Bagging, Neural Networks (Network Analysis experience a plus) 
  • Experience with any data science tools/packages: Python, R, XGBoost, TensorFlow, NLTK
  • Experience with any big data tools: Hadoop, Spark, Kafka, Data Bricks
  • Experience with any reporting tools: SAS, Power BI, SSRS, Excel
  • Experience with any AWS cloud services: EC2, EMR, RDS, Redshift, Aurora, S3
  • Experience with any Stream-processing systems: Storm, Spark-Streaming

Minimum qualification Required:

  • Bachelor or Masters degree in Data Science, Operations Research, Computer Science, Industrial Engineering, Statistics, or another quantitative field. 
  • Relevant programming qualifications and / or certifications
  • Relevant Agile certification is preferable

Skills:

  • Data Science: Regressions, Clustering, Decision Trees, Ensemble learning like Boosting/Bagging, Neural Networks (Network Analysis experience a plus)
  • Data science tools/packages: Python, R, XGBoost, TensorFlow, NLTK
  • Big data tools: Hadoop, Spark, Kafka, Data Bricks
  • Reporting tools: SAS, Power BI, SSRS, Excel; OBIEE
  • AWS cloud services: EC2, EMR, RDS, Redshift, Aurora, S3
  • Experience with any Stream-processing systems: Storm, Spark-Streaming
  • Data Modeling
  • Data Analytics
  • Data Mining
  • MySQL


 

NB! This job is now closed. You can apply for other jobs by uploading your CV.



 

 

 

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