Data Scientist 

A Data Scientist is responsible for overseeing the collection, storage and interpretation of data for businesses. Their duties include sifting through data points to create organized categories, comparing data points to current company processes and writing reports outlining business predictions or proposals. Organizations are increasingly using more and more data in their everyday operations. Data scientist interprets the raw data and extracts valuable meaning out it. Our data scientist team then use this information to find patterns and develop solutions that organizations need to grow and compete.

At MCTG Consulting, we rely on insightful data to power our clients’ systems and solutions. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our clients’ data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for releasing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

Objectives for this role

  • Collaborate with product strategy and operations teams to develop an understanding of needs
  • Research and devise innovative statistical models for data analysis.
  • Communicate findings to all stakeholders
  • Enable smarter business processes by using analytics for meaningful insights.
  • Keep current with technical and industry developments.

Responsibilities 

  • Serve as lead data strategist to identify and integrate new databases that can be leveraged through our product capabilities and work closely with the strategy and operations teams in the development of data products.
  • Execute analytical experiments to help solve problems across various domains and industries.
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured databases and variables.
  • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy 
  • Analyze data for trends and patterns, and interpret data with clear objectives in mind.
  • Implement analytical models in production by collaboration with software developers and machine-learning engineers.
  • Use statistical and analytical methods plus AI tools to automate specific processes within organizations and develop smart solutions to business challenges.

Required skills and qualifications

  • Five or more years of experience in data science.
  • Proficiency with data mining, mathematics, and statistical analysis.
  • Advanced experience in pattern recognition and predictive modelling.
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (e.g. Java/Python, SAS).
  • Ability to work effectively in a dynamic research-oriented group that has several concurrent projects. 

Preferred skills and qualifications

  • Bachelor’s degree (or equivalent) in statistics, applied mathematics or related discipline. A master’s degree will be an added advantage.
  • Two or more years of project management.
  • Professional certification.

Salary ranges

  • R855 107 – R1,750 000 per year (depending on experience, skills and qualifications)
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