alogosmall
Senior Data Scientist (Ref: ZHSDS)
Remuneration:

Position in the Engineering sector in KZN - Kwa- Zulu Natal
Posted On Thursday 25 March 2021
Job Description:

A leading energy, productivity & solutions company has a vacancy for a Senior Data Scientist. Provide analytical expertise and support using scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms. BSc Eng/B Eng/B Tech/BSc in Engineering, Mathematics/Statistics or Operations research is essential. A minimum of 5 years of experience in developing advanced analytical methodologies, testing & coding of mathematical & statistical algorithms within the industrial/manufacturing/engineering/ mining sector. The role is based in KZN.

Please email application through to zita@armstrongappointments.com

Main job function

Develop and integrate data analytics into customer reporting – including predictive models.

Data mining and interpretation – including data acquisition and transformation.

Discovery and evaluation of new or advanced analytical methodologies and analytical tools.

The development, testing and coding of mathematical and statistical algorithms and analysis methods – using technology frameworks.

Training and support of analysts and engineers in the fundamentals and application of data analysis methods.

Perform the duties of an Energy and Process Analysis Specialist for the MaV Inspection Body

Qualifications:

Qualifications

Relevant tertiary qualification (BSc Eng, BEng, BTech, BSc, NHD) in engineering or mathematics/statistics or operations research.

Experience:

Experience/Criteria

Minimum of 5 years relevant experience in developing advanced analytical methodologies and developing, testing and coding mathematical and statistical algorithms within the industrial/manufacturing/engineering/mining sector.

Demonstrate a proven track record of successfully mining and analysing data/information of a similar nature.

Proficiency in written communication – specifically engineering and scientific report writing.

Proficiency in project and quality assurance documentation management and control.

Strong statistics knowledge

Strong Machine learning and coding skills

Strong computer literacy in MS Office Suite

Work under pressure

Attention to detail

Work as a member of a fully integrated team

Self-motivated

Interpersonal skills

Communication skills

Problem-solving skills

Conflict-resolution skills

 

 

A Consultant will be in touch if you are shortlisted for the position.  Please consider your application unsuccessful should you not have been contacted within 2 weeks.  We will keep your CV on our database and contact you should you match the criteria of any other vacancies.

Please contact Zita Hilson zita@armstrongappointments.com