Overview

Junior Data Scientist Jobs in City of Cape Town, Western Cape, South Africa at G7 Renewable Energies (Pty) Ltd

Title: Junior Data Scientist

Company: G7 Renewable Energies (Pty) Ltd

Location: City of Cape Town, Western Cape, South Africa

Leaders in Renewable Energy Development

G7 Renewable Energies (Pty) Ltd has been pioneering renewables, including utility-scale hybrid renewable technology, in South Africa for over 15 years. G7 delivers high-performing, grid-connected projects and has transitioned from a developer to a fully integrated IPP. With projects in excess of 2GW at various stages of maturity, G7 is growing its pipeline and has over 500MW of renewable energy projects under construction. G7 is on a mission to harness the power of renewable resources, contributing to a sustainable and energy-secure future.

Your Opportunity

The Junior Data Scientist must apply data science and machine learning techniques to help identify business opportunities, solve complex problems, and drive innovative data-driven solutions. The role involves working closely with stakeholders to identify opportunities for using data to improve processes and make informed decisions. Additionally, the Junior Data Scientist must aim to enhance the efficiency, reliability, and sustainability of our renewable energy systems and is expected to help drive the adoption and advancement of technologies and new practices within the organisation.

Role-Specific Responsibilities

  • Some of the data-related tasks that a Junior Data Scientist might tackle on a day-to-day basis include:
  • Pulling, merging and analyzing data
  • Looking for patterns or trends
  • Must be Python literate and understand the foundational concepts of machine and deep learning,
  • Trying to simplify data problems and developing predictive models
  • Building data visualizations
  • Writing up results and pulling together proofs of concepts
  • Perform ad-hoc data mining and gather large sets of structured and unstructured data from several sources.
  • Use various statistical methods, data visualization techniques to design and evaluate advanced statistical models from vast volumes of data.
  • Build AI models using various algorithms and in-built libraries.
  • Automate tedious tasks and generate insights using machine learning models.

Data Collection, Cleaning and Manipulation:

  • Collect, clean, and manipulate large datasets to extract and share insights with the business.
  • Perform ad-hoc data mining to identify trends and patterns.
  • Generate predictive models using the available data.
  • Build and maintain specific datasets, such as G7’s scouting dataset.
  • Procure and process relevant data to update the dataset.
  • Develop new filter parameters to enhance the dataset’s usefulness.

Advanced statistical & Machine Leaning Techniques:

  • Apply advanced statistical and machine learning techniques to build models.
  • Deploy models for accurate predictions and recommendations.
  • Evaluate and improve models based on performance feedback.
  • Handle backend development, server deployment, and front-end usability of the model framework.
  • Add new applications and features to enhance the functionality of the models.

Reporting:

  • Apply advanced statistical and machine learning techniques to build models.
  • Deploy models for accurate predictions and recommendations.
  • Evaluate and improve models based on performance feedback.
  • Handle backend development, server deployment, and front-end usability of the model framework.
  • Add new applications and features to enhance the functionality of the models.

Qualifications & Experience

  • BSc. or MSc. in a relevant field (Operations Research, Computer Science, Statistics, Engineering, or Mathematics)
  • Advantageous: Post Graduate qualification in data science or related fields
  • Experience in managing and negotiating contracts as well as disputes
  • 3-5 Years’ Experience in a related role
  • Experience in applied machine learning in industrial contexts
  • Working experience in Power BI

Role-Specific Skills & Knowledge

  • Calculus, linear algebra, statistics, and probability
  • Relevant programming languages, technologies, and cloud-based computing services (e.g., Javascript, Python, SQL, Microsoft Azure Data lake, Blob storage, Power BI, Hadoop, Spark, AWS etc.)
  • Machine learning algorithms and deployment of such models into production
  • Data manipulation, cleaning, and wrangling techniques Database technologies and data warehousing concepts
  • Web development
  • Project Management
  • Converting communicating raw data into interactive visuals and understandable formats
  • Appropriate analysis or modelling tools
  • Benchmarking
  • Business and Financial Acumen
  • Leadership
  • Stakeholder Management
  • Change Management
  • Tactical / strategic thinking
  • Analytical
  • Logical Problem-solving
  • Project-management
  • Interpersonal and communication skills
  • Reporting and Presentation skill (using e.g., MS Office Word, Excel, PowerPoint, MS Projects)
  • Business, systems, and data analysis
  • Financial acumen
  • Advanced computer skills (Python, SQL, Microsoft Azure Data lake / Blob storage, Power BI, Flask, Django, Javascript)
  • Cloud based computing services such as Hadoop, Spark, AWS, Azure

“We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.”

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