Data Scientist – Data and Information at Imperial Logistics

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Imperial is an African provider of integrated market access and logistics solutions. By focusing on the following key industries – healthcare, consumer, automotive, chemicals, industrial and raw materials – we bring the products of our customers and constituents to some of the most dynamic and challenging markets in the world. As a global logistics leader, we research and leverage new technologies to deliver innovative end-to-end solutions. Through our large African footprint and international expertise, and with the support of our 25,000 people, Imperial’s goal is to connect Africa and the world – and improve people’s lives with access to quality products and services. Imperial became a 100% owned company of DP World in March 2022. For more information: [URL Removed]

  • The Imperials Logistics Africa business is the leading logistics provider in South Africa and one of the largest on the African continent, providing contract logistics, road freight and master logistics provider solutions.
  • Imperial Logistics International, headquartered in Duisburg, Germany, is responsible for all Group logistics activities (including contract logistics and freight) outside of Africa.
  • Imperial’s Market Access business develops complex market access solutions that provide constituents with access to patients and consumers across Africa through comprehensive channel strategies that integrate supply, sales, demand generation, distribution, marketing and promotions.

Job function
The provision of reliable, timely, efficient and high-quality data analytics solutions and professional services that will enable Imperial Oil to make faster and more informed decisions based on the information generated by this capability.

Key performance areas
Support:

  • The team to achieve common goals and deliverables
  • Reliable, punctual, efficient and quality delivery according to the chosen process and tooling
  • Mitigation plans are in place for work items that will not be delivered according to the estimated schedule
  • Information is always rigorously tested and approved before being released to D&IT and Imperial

People and cultures:

  • Actively participate and contribute to ongoing knowledge sharing initiatives
  • Actively participate and contribute to continuous improvement initiatives

Process and delivery:

  • Reliably deliver your sprint backlog
  • Ensure efficiency through accurate work estimates and completion of work against estimates according to the sprint plan
  • Guarantee the quality of deliverables.
  • Ensure that processes and tools are used effectively
  • Conduct research from which you will develop prototypes and proof of concepts
  • Look for opportunities to use information/datasets/codes/models in other functions of the organization.

Technology and standards:

  • Define, document and communicate design patterns
  • Ensure definition, documentation and communication of solution designs prior to implementation
  • Ensure that as-built documentation is done to standards and is continually updated to ensure accuracy
  • Ensure work is completed against agreed definition of completed
  • Ensure the WIKI is updated for content accuracy and structure
  • Adhere to source code management practices
  • Adhere to quality assurance practices

Adhere to:

  • All corporate governance, processes, procedures and statutory, legal and other requirements

Qualifications required:

  • Relevant BSc, BCom, BEng (Essential/Minimum)

Skills and experience required:

  • 5+ years in Business Intelligence/Data Analytics/Data Science/Modeling/Statistics
  • Programming and statistical computer languages ​​(R, Python, SQL, etc.)
  • Working knowledge of Business Intelligence principles and best practices
  • Experience working and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their actual advantages/disadvantages.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical testing and proper usage, etc.) and application experience

Behavioral skills:

  • Client orientation
  • Improvement orientation
  • Interpersonal effectiveness
  • Decide and take action
  • Adapt and react to change
  • Dealing with pressures and setbacks
  • Present and communicate information
  • Connecting and networking
  • Adhere to principles and values
  • Investigative skills
  • Innovative and critical thinking
  • Planning, time management and organizational skills
  • The ability to deliver under pressure and within tight deadlines

Technical skills :

  • Excellent analytical and problem solving skills
  • Strong communication skills
  • Strong relationship building skills
  • Excellent planning, time management and organizational skills
  • Knowledge of statistical modeling and data mining techniques, i.e. regression, random forest, boosting, trees, text mining, social network analysis, etc.
  • Query databases using statistical computer languages, i.e. R, Python, SQL, etc.
  • Experience building and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • A high level of mathematical ability
  • Assess the effectiveness of data sources and data collection techniques and improve data collection methods
  • Stay up to date with the latest technologies, techniques and methods

Fairness Statement

Imperial Oil is committed to transformation, which encompasses employment equity, diversity and inclusion when recruiting internally and externally. It is company policy to promote from within whenever possible.
Therefore, be aware that internal applications will be considered first before considering external applications.

Desired skills:

  • Programming
  • SQL
  • Data analysis
  • Modeling

Desired work experience:

  • 5 to 10 years Data analysis / Data warehousing

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