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Snr Specialist: Lead Data Scientist (AI)
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General Details
Description
Job Responsibilities
Define and implement the AI strategy and product roadmap in relation to the company strategy, and provide input into the broader strategic direction of Organization Strategic Insights
Cultivate and manage working relationships with a variety of stakeholders to support the design and delivery of data science projects and solutions
Develop business cases for new solutions or products, and establish the value for existing projects
Determine the most appropriate data science tools/ approaches for specific projects
Execute end to end data science projects and product development processes
Engage with our data engineering team to ensure any AI products or solutions are managed
Identify and manage resource requirements including people and systems
Lead and develop a team of data scientists and provide hands on guidance
Establish, document and champion data science best practices in the team
Help Strategic Insights become thought leaders in the areas of data science and artificial intelligence
Stay abreast of new developments and solutions in the market to ensure we don''t fall behind
Contribute to our agile way of work and our innovation culture
Consistent documentation of all implemented systems and processes
Qualifications
Post graduate degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (NQF level 7); OR a qualified Actuary with data science experience. A Master''s degree (NQF level 9) will be an advantage.
Required Certification/Professional Registration
Data science and cloud certifications will be advantageous (GCP, Azure, AWS).
Experience
7 years of work experience in the field of data science with at least 2 years having been on management/ specialist level. Experience in ICT. Telecommunications will be an advantage.
Special Requirements
Experience in Natural Language Processing. Strong statistical & mathematical foundations. Experience with Google Cloud Platform. Expected to stay abreast of new data science developments and to put them into practice.
Functional Knowledge
Statistical and mathematical foundations; Data science and analytics frameworks (NLP and Computer Vision); Programming (Python, R, Git, Linux); Cloud computing (GCP preferable); Big Data (Cloudera, Hadoop, Spark).
Functional Skills
Strategic thinking; Innovative thinking; Communication (written and verbal); Stakeholder management; Planning & organizing (Miro, Confluence & Jira); Research & development.
Attitudes/ Leadership Competencies
Business Leadership; Market Leadership; Personal Leadership; Problem solver; Takes initiative; Hard working; Can do attitude; Innovative thinker; Works well in teams; Works well under pressure; Relishes dynamic/ changing environment; Time management.
Define and implement the AI strategy and product roadmap in relation to the company strategy, and provide input into the broader strategic direction of Organization Strategic Insights
Cultivate and manage working relationships with a variety of stakeholders to support the design and delivery of data science projects and solutions
Develop business cases for new solutions or products, and establish the value for existing projects
Determine the most appropriate data science tools/ approaches for specific projects
Execute end to end data science projects and product development processes
Engage with our data engineering team to ensure any AI products or solutions are managed
Identify and manage resource requirements including people and systems
Lead and develop a team of data scientists and provide hands on guidance
Establish, document and champion data science best practices in the team
Help Strategic Insights become thought leaders in the areas of data science and artificial intelligence
Stay abreast of new developments and solutions in the market to ensure we don''t fall behind
Contribute to our agile way of work and our innovation culture
Consistent documentation of all implemented systems and processes
Qualifications
Post graduate degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (NQF level 7); OR a qualified Actuary with data science experience. A Master''s degree (NQF level 9) will be an advantage.
Required Certification/Professional Registration
Data science and cloud certifications will be advantageous (GCP, Azure, AWS).
Experience
7 years of work experience in the field of data science with at least 2 years having been on management/ specialist level. Experience in ICT. Telecommunications will be an advantage.
Special Requirements
Experience in Natural Language Processing. Strong statistical & mathematical foundations. Experience with Google Cloud Platform. Expected to stay abreast of new data science developments and to put them into practice.
Functional Knowledge
Statistical and mathematical foundations; Data science and analytics frameworks (NLP and Computer Vision); Programming (Python, R, Git, Linux); Cloud computing (GCP preferable); Big Data (Cloudera, Hadoop, Spark).
Functional Skills
Strategic thinking; Innovative thinking; Communication (written and verbal); Stakeholder management; Planning & organizing (Miro, Confluence & Jira); Research & development.
Attitudes/ Leadership Competencies
Business Leadership; Market Leadership; Personal Leadership; Problem solver; Takes initiative; Hard working; Can do attitude; Innovative thinker; Works well in teams; Works well under pressure; Relishes dynamic/ changing environment; Time management.
https://protool.gumtree.co.za/external-link-browser.html?url=aHR0cHM6Ly9lbi16YS53aGF0am9icy5jb20vY29vcG9iX19jcGxfX18xMTA4XzU1MzI3X180OTc/dXRtX3NvdXJjZT1ndW10cmVlJnV0bV9tZWRpdW09ZmVlZCZrZXl3b3JkPQ==&jid=1204852&xid=1108_55327
Id Subtitle 1078191268
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