Data Scientist

**Data Scientist (Utilities) - Salary Market Related**

**PURPOSE**

**KEY WORK OUTPUT AND ACCOUNTABILITIES**
- 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 the client’s internal data modelling platforms and tool;

**Cloud**
- Microsoft Azure (must)
- AWS
- Google Cloud

**Big Data**
- Mondodb
- Hadoop
- Cassandra

**Machine Learning**
- Kubeflow
- Tensorflow
- PyTorch

**Analytics and visualisation**
- Microsoft PowerBi (must)
- Microsoft Excel (must)
- Google Charts

**Languages**:

- Python (must)
- R (must)
- 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

**KNOWLEDGE REQUIRED TO DO THE JOB**:

- ETL
- Machine learning
- Deep learning
- Programming
- Data Modelling
- Database configuration and management
- Data visualisation
- Data analysis
- Predictive analytics
- Agile
- Exposure to financial services, mining, and/or utilities industries (advantage)
- Business acumen

**SKILLS / ABILITIES REQUIRED TO DO THE JOB**:

- Ability to develop machine learning tools built in using python, R
- Ability to manage both structured and unstructured data using SQL
- Ability to visualise data using various tools
- Ability to model data for prediction
- Ability to manage time and project deliverables
- Ability to communicate with executives and senior management across sectors (the client, local government, government, and industry)
- Database management and/or platform knowledge, including:

- Operational [data] automation systems (i.e., ERP, OT and other data source platforms)
- Common BI tools and/or data analytics platforms (i.e., Excel, PowerBI, Google Analytics)
- Ability to execute against use cases for data science, including:

- Digital channel and platforms optimization and measurement
- Support analysis of measurement of cross-functional (internal and municipal) areas to support strategic decision making (KPIs, Metrics, etc)
- Cleaning and integrating multiple data sources to support analytics

**PERSONAL ATTRIBUTES REQUIRED FOR THIS JOB**:

- Project Management
- Problem solving and analytical
- Diligence
- Good business judgment
- Incumbent to be result and self-driven
- Good communication skills
- Self-direction and eagerness to learn
- Independent worker
- Strong time-management skills
- The ability to work on multiple projects for multiple stakeholders
- The ability work and deliver under pressure
- The ability to build internal and external relationships
- The ability to solve problems.
- The ability to rotate around a problem, to see if solutions can be gained in different ways.
- The ability to work in an ever changing, unstructured environment.
- The ability to learn new data tools and technologies speedily and deploy
- The ability to work as part of a team, with vastly differing skill sets and opinions.
- The ability to contribute ideas to the quorum.
- The ability to mentor and provide guidance for other team members.
- The ability to work without supervision and take accountability for the work they deliver.
- The ability to liaise with a client, sifting through the fluff and extracting the actual requirements.

**MINIMUM REQUIREMENTS**:

- Bachelor’s or 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, R, and data management techn