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Data Scientist (Marketing and Natural Language Processing)
Based in National Office (Pretoria) Ref: 24/08/09
Cluster: Digital Information Technology
Remuneration package: A competitive salary package with benefits
ROLE OVERVIEW
Reporting to the Chief Digital Officer, the incumbent will be responsible for the application of data science and advanced quantitative methods, which include machine learning, deep learning, artificial intelligence, predictive analytics to enable key strategic, tactical, and
operational use-cases within the domain of marketing, communications, strategy, and Natural Language Processing – as per SALGA Digital Strategic Framework. Responsible for the end-to-end data Lifecyle – from strategic planning, data collection, through monitoring, evaluation,
and incremental improvement.
THE CANDIDATE PROFILE
▪ Strong project management and organizational skills.
▪ Experience supporting and working with cross-functional teams in a dynamic environment.
▪ Database configuration and management
▪ Data visualisation
▪ Data analysis
▪ Predictive analytics
▪ Agile
▪ Exposure to financial services and/or fast retail/FMCG
▪ Business acumen
QUALIFICATIONS AND EXPERIENCE
▪ Honour’s Degree in Statistics, Mathematics, Applied Mathematics, Physics , Econometrics, Actuarial Science or equivalent
experience
▪ Masters in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, an advantage
▪ 3+ years data science and analysis experience
▪ Proficient in Python and database technologies
▪ Valid Driver’s License;
KEY PORTFOLIO AND PERFORMANCE FOCUS AREAS
▪ Support the Chief Digital Officer and Senior Data Architect using a variety of state-of-the-art cloud based technologies to solve data
analysis and prediction problems.
▪ Identify and act on new opportunities for data driven business in data science and analytics.
▪ Recognise when existing solutions can be generalised to solve new problems and address new data-as-a-service verticals
▪ Work in a collaborative environment developing data science methods, tools, and algorithms to solve problems.
▪ Become fluent in analytical modelling using SALGA’s internal data modelling platforms and tool;
▪ Continuously learn and apply latest and fit-for-purpose, open-source and proprietary tools and technologies to achieve results,
including some or all of the following:
Cloud
o Microsoft Azure (must)
o AWS
o Google Cloud
Big Data
o Mondodb
o Hadoop
Machine Learning
o Kubeflow
o Tensorflow
o PyTorch
Business Intelligence/Analytics and visualisation
o Microsoft PowerBi (must)
o Microsoft Excel (must)
o Google Analytics (must)
o Adobe Analytics (must)
o Google Charts
o NLTK (must)
o Textblob
o SpaCy
o CoreNLP
o Datorama (advantage)
Languages
o Python (must)
o R (must)
o SQL (must)
Conversational AI
o Dialogflow
o Teneo
o Bot Framework / Bot Builder SDK (ideal)
o Watson Assistant
▪ Associated tools and technologies as they become available, and the platform evolves
▪ Load and merge data originating from diverse sources.
▪ Performa data cleansing, and quality management.
▪ Pre-process and Transform data for model building and analysis.
▪ Troubleshoot data quality issues and work with team members to reach solutions
▪ Perform descriptive analytics to discover trend and pattern in the data;
▪ Create visualizations, including dashboards to provide insights on large data sets and input to finished reports
▪ Develop predictive models for business solutions.
▪ Deploy predictive and other models to production.
▪ Build and train NLP models
▪ Analyse output products to assure data quality and conformance to requirements.
▪ Develop technical specification for 3rd party platform data integration and streaming
▪ Participate in continuous improvement efforts to increase available data quality and speed of delivery
▪ Address ad-hoc domain-specific data analytic requirements from domain or cluster leaders; and a continuously deliver user-centric
data visualisations, publications, and products
Closing Date: 27 August 2024
Senior Data Scientist (Full Stack)
Based in National Office (Pretoria) Ref: 24/08/10
Cluster: Digital Information Technology
Remuneration package: A competitive salary package with benefit
ROLE OVERVIEW
Reporting to the Chief Digital Officer, the incumbent will be responsible for the application of data science and advanced quantitative
methods, which include machine learning, deep learning, artificial intelligence, predictive analytics to enable key strategic, tactical, and
operational use-cases for the purpose of the driving the broader data science programme – as per SALGA Digital Strategic Framework.
Responsible for the end-to-end data lifecycle – from strategic planning, data collection, through monitoring, evaluation, and incremental
improvement
THE CANDIDATE PROFILE
▪ Strong project management and organizational skills.
▪ Experience supporting and working with cross-functional teams in a dynamic environment.
▪ Strong analytic skills related to working with unstructured datasets.
▪ Cleaning and integrating multiple data sources to support analytics
QUALIFICATIONS AND EXPERIENCE
▪ Honour’s Degree in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, Actuarial Science or equivalent experience
▪ Masters in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, an advantage
▪ 6+ years data science and analysis experience
▪ Team management/leadership experience
▪ Project Management (classic and agile) experience
▪ Proficient in Python, R, and database technologies
▪ Valid Driver’s License;
▪ Advanced working Python knowledge and experience working with relational databases, query authoring Python as well as working
familiarity with a variety of databases.
▪ Experience supporting and working with cross-functional teams in a dynamic environment.
KEY PORTFOLIO AND PERFORMANCE FOCUS AREAS
▪ Support the Chief Digital Officer and snr data architect using a variety of state-of-the-art cloud based technologies to solve data
analysis and prediction problems.
▪ Identify and act on new opportunities for data driven business in data science and analytics.
▪ Recognise when existing solutions can be generalised to solve new problems and address new data-as-a-service verticals
▪ Work in a collaborative environment developing data science methods, tools, and algorithms to solve problems.
▪ Become fluent in analytical modelling using SALGA’s internal data modelling platforms and tool;
▪ Continuously learn and apply latest and fit-for-purpose, open-source and proprietary tools and technologies to achieve results,
including some or all of the following:
Cloud
o Microsoft Azure (must)
o AWS
o Google Cloud
Big Data
o Mondodb
o Hadoop
o Cassandra
Machine Learning
o Kubeflow
o Tensorflow
o PyTorch
Business Intelligence/Analytics and visualisation
o Microsoft PowerBi (must)
o Microsoft Excel (must)
o Google Charts
Languages
o Python (must)
o R (must)
o SQL (must)
▪ Associated tools and technologies as they become available, and the platform evolves
▪ Load and merge data originating from diverse sources;
▪ Performa data cleansing, and quality management;
▪ Pre-process and Transform data for model building and analysis;
▪ Troubleshoot data quality issues and work with team members to reach solutions
▪ Perform descriptive analytics to discover trend and pattern in the data;
▪ Create visualizations, including dashboards to provide insights on large data sets and input to finished reports
▪ Develop predictive models for business solutions;
▪ Deploy predictive and other models to production.
▪ Analyse output products to assure data quality and conformance to requirements.
▪ Develop technical specification for 3rd party platform data integration and streaming
▪ Participate in continuous improvement efforts to increase available data quality and speed of delivery
▪ Address ad-hoc domain-specific data analytic requirements from domain or cluster leaders; and a continuously deliver user-centric
data visualisations, publications, and products
Closing Date: 27 August 2024
Senior Data Architect
Based in National Office (Pretoria) Ref: 24/08/08
Cluster: Digital Information Technology
Remuneration package: A competitive salary package with benefits
ROLE OVERVIEW
Reporting to the Chief Digital Officer, the incumbent will be responsible for activities that define the organisation’s and sectoral data assets
(as well as the assets’ sources, structure, classification and associations) as part of the data strategy to respond to emerging problem
statements and move toward desired strategic outcomes.
THE CANDIDATE PROFILE
▪ Strong project management and organizational skills.
▪ Experience supporting and working with cross-functional teams in a dynamic environment.
▪ Strong analytic skills related to working with unstructured datasets.
▪ Cleaning and integrating multiple data sources to support analytics
QUALIFICATIONS AND EXPERIENCE
▪ Honour’s Degree in Statistics, Econometrics, Actuarial Science, Informatics or equivalent experience
▪ 8+ years in data and information management, analysis, and modelling experience
▪ Knowledge and understanding of the local government data eco-system
▪ Experience in executing data reporting and dashboard development using municipal and 3rd party data
▪ Experience in data warehousing, data modelling and/or data analysis
▪ Project Management experience
▪ Good knowledge of data management, data integration and database development techniques
▪ Valid Driver’s License;
▪ Team management/leadership experience
▪ Proficient in Python, R, and database technologies
▪ Advanced working Python knowledge and experience working with relational databases, query authoring Python as well as working
familiarity with a variety of databases.
▪ Experience supporting and working with cross-functional teams in a dynamic environment.
KEY PORTFOLIO AND PERFORMANCE FOCUS AREAS
▪ Support the Chief Digital Officer to deliver a sector-wide data programme to solve data analysis and prediction problems.
▪ Identify and act on new opportunities for data driven business in data science and analytics.
▪ Recognise when existing solutions can be generalised to solve new problems and address new data-as-a-service verticals
▪ Work in a collaborative environment developing data science methods, tools, and algorithms to solve problems.
▪ Lead the design, development, implementation and maintenance of complex data systems and solutions.
▪ Develop conceptual, logical and physical data models to support data analysis and business intelligence.
▪ Create and maintain current- and target-state data architectures
▪ Define and manage standards, guidelines and processes to ensure data quality.
▪ Ensure technology solutions are in alignment with data architecture principles and target state.
▪ Oversee end-to-end data life cycle management activities.
▪ Work with digital teams, business analysts and data scientists to understand data consumers’ needs and develop solutions.
▪ Evaluate and recommend emerging technologies for data management, storage, and analytics
▪ Become fluent in analytical modelling using SALGA’s internal data modelling platforms and tool;
▪ Continuously learn and apply latest and fit-for-purpose, open-source and proprietary tools and technologies to achieve results,
including some or all of the following:
Cloud
o Microsoft Azure (must)
o AWS
o Google Cloud
Business Intelligence/Analytics and visualisation
o Microsoft PowerBi (must)
o Microsoft Excel (must)
o Google Charts
Analyse output products to assure data quality and conformance to requirements.
▪ Develop technical specification for 3rd party platform data integration and streaming
▪ Participate in continuous improvement efforts to increase available data quality and speed of delivery
▪ Address ad-hoc domain-specific data analytic requirements from domain or cluster leaders; and a continuously deliver user-centric
data visualisations, publications, and products
Closing Date: 27 August 2024
Manager: Administration
Based in National Office (Pretoria) Ref: 24/08/11
Cluster: Human Capital and Corporate Services
Remuneration package: A competitive salary package with benefits
ROLE OVERVIEW
Reporting to the Senior Manager: Corporate Services, the incumbent will be required to provide effective and efficient Administrative
services to SALGA. To lead, direct and manage the function and its interventions through the implementation of processes, procedures,
systems and tools to ensure the efficient and effective delivery of relevant and best-fit solutions and services to enable the achievement of
strategic objectives. Functional areas include: Support Services (Reception, internal transport & courier services) ,Facility Management
(Contract management, Housekeeping and OHS compliance).
THE CANDIDATE PROFILE
▪ Sound understanding of policy and legislative frameworks in area of responsibility
▪ Knowledge of the SALGA business and sustainability requirements
▪ Understanding of project management principles
▪ Understanding of expense management principles and regulations
▪ Sound understanding of the policy, legislative and regulatory frameworks governing the professional discipline; and in particular those
applying to the LG Sector and SALGA
▪ Staying abreast of new developments in the area or responsibility
▪ Working knowledge of the developments (globally and in South Africa) in the related professional disciplines reporting to the position
▪ Knowledge of financial and facilities management principles
▪ Working Knowledge of SALGA Mandate, value chain, business model; and core business objectives
QUALIFICATIONS AND EXPERIENCE
▪ Relevant post-graduate qualification in Business Administration/ Public Management / Management at Hons level
▪ A SHE qualification will be advantageous
▪ Valid Driver’s License
▪ At least 5 – 7 years’ relevant experience of which at least 3 years have been within a local government environment
▪ Minimum of 3 years’ experience in building & facilities management
▪ Demonstrates a sound understanding of the Local Government Sector
▪ Sound track record in effectively managing complex and sensitive stakeholder engagements at all levels
KEY PORTFOLIO AND PERFORMANCE FOCUS AREAS
▪ Efficient and Effective Administrative Support Services: Provide leadership and guidance to provincial offices regarding the
implementation of general office administration services, policies, processes, systems, standards and procedures. Ensure an effective
and professional reception and call centre service that aligns with the SALGA brand. Overall management of the applicable facilities
management soft services such as: Physical security and guarding services. (Ensure occupant and visitor safety). Fire-prevention
Systems. Cleaning and Hygiene services, Office Plant services, Internal Catering, , Stationery, Office Keys and Access Cards, Access
Control & Parking, SALGA Pool Vehicles, Provision and maintenance of office furniture and office equipment.
▪ Efficient and Effective Facility Management Services: Provide leadership and guidance to provincial offices regarding the
implementation of effective facility management services, policies, processes, systems, standards and procedures. Conduct site
inspections. Oversee the daily operations of the facilities and buildings (facilities, parking, boardrooms, lounge, kitchen and gym) in
National Office and Monitor the quality of oversight of facilities in the provinces. Coordinate Property acquisition and/or disposal and
ensure the signature of mutually protective lease agreements. Maintain and monitor equipment in the building (e.g. fire extinguishers;
generators; water tanks etc.). Management of SALGA occupied buildings in terms of OHASA as far as structural aspects as well as
access by disabled is concerned. Completion and filing of shift, event management, accounting, incident and maintenance reports.
Provision of effective and efficient office accommodation and the maintenance thereof for National Office and Provincial Offices.
(Allocating and managing space within buildings). Touring the building and handling problems according to the policies and procedures
Conduct compliance audits and implement action plans for improvement (Compliance in terms of Occupational Health and Safety).
▪ Contract Management: Draft and develop new contracts as required. Check all new contracts for risk to SALGA, negotiate terms and
conditions to the benefit of SALGA as required, monitor validity of contracts and negotiate renewal terms and conditions or terminations.
▪ Expense Monitoring: Assist with the preparation of annual budgets and monitoring of the monthly expenditure in area of accountability.
Verify invoices and expenses requests against performance of suppliers/service providers and ensure compliance with SCM
procedures. Actively save costs in the area of responsibility. Monitor inventory of office supplies and the purchasing of new material
with attention to budgetary constraints. Monitor those values, administrative, fiscal, legal, evidential and/or informational, which justify
the indefinite or permanent retention of records.
▪ People management and promoting a high-performance culture: Manage and develop staff in the area of responsibility so that they
achieve their work objectives and work within an environment conducive to achieving required results.
▪ Stakeholder Management: Liaison with various stakeholders on matters relating to the roles and responsibilities of the Administration
Unit. E.g. National Treasury in terms of RT3 contracts relating to office equipment, RT5 contracts relating to courier services and RT57
relating to vehicles. Liaison with Landlords regarding the terms and conditions of Lease Agreements. Research and liaison with
Landlords / Consultants for the purposes of locating new office buildings where Lease Agreements expired. Liaison with various service
providers in terms of goods and services as required for the support service
Closing Date: 27 August 2024
All the best with your applications.
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