Snr Specialist: Data Science Company NameTelkom at Telkom

As a Senior Data Scientist your primary role will be to lead and participate in data science projects, solving a variety of use cases across the Telkom Group and for its customers. You will be an expert in employing and evolving data science tools and frameworks across on-prem and cloud big data infrastructure to assist the Insights team to unlock measurable value for the group. Together with a team of lead and senior data scientists you will develop our machine learning and deep learning competencies and will train and develop our junior data science resources.

JOB RESPONSIBILITIES

Engage with stakeholders to lead and support data science project delivery solving business problems or developing solutions

• Using mathematical, statistical and machine learning techniques to solve problems
• Programming solutions using data science programming languages (Python, R etc.)
• Executing end to end exploratory data analysis and product development processes
• Implementing visualization (Tableau, PowerBI), advanced analytics and data science solutions for customers
• Lead and develop a team of junior data scientists
• Strong support to the lead data scientist
• Contribute to our agile way of work and our innovation culture

Operational:

• Work with the data management team to retrieve data from source
• Guide most appropriate data science tools and/or approaches for specific projects
• Contribute to our ML/DL codebase through reusable modules
• Developing & peer reviewing code
• Building best practice standards

CORE COMPETENCIES

FUNCTIONAL KNOWLEDGE

• Statistical foundations; Mathematical foundations; Data science and analytics frameworks; Programming experience (Python, R, Git, Linux); Cloud computing experience (GCP preferable); Big Data (preferably Hadoop, PySpark)

FUNCTIONAL SKILLS

• Problem Solving; Coding capability (specifically Python, R, Git, Linux); Cloud computing (GCP preferable); Machine learning; Research & development ability; Communication (written and verbal); Stakeholder management

ATTITUDES/ LEADERSHIP COMPETENCIES

• Problem solver; Takes initiative; Task oriented; Hard working with a "can do" attitude; Innovative thinker; Works well in teams; Works well under pressure

MINIMUM PERSON REQUIREMENTS

REQUIRED CERTIFICATION/PROFESSIONAL REGISTRATION

None

QUALIFICATIONS

• Post graduate degree in Computer Science, Mathematics, Statistics, Engineering or a related field (NQF level 8); OR a qualified Actuary with data science experience. A Master’s degree (NQF level 9) will be an advantage.

EXPERIENCE

• 5-7 years relevant experience, at least 2 years of which must have been in a data science environment. 2 years of the above experience must have been in a management or supervisory role. Experience in ICT will be an advantage.