26 May 2023

Full-Time Senior Data Scientist, Analytics – International Growth (Content) – Polokwane

Dataiku – Posted by JobsTeam Polokwane, Polokwane, South Africa

Job Description

Please contact us if you are interested in joining our Data Science team. They will collaborate directly with other members of the Technology, Product Management, and Call Center teams to conceive and implement AI-based solutions for high-profile data science and artificial intelligence initiatives. When it comes to working with cutting-edge AI technology, the ideal candidate must have the ability to adapt quickly to an ever-changing work environment. The tasks will involve the collection of data from various sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of results, presentation, and implementation of a new system.. To be successful, you must be able to support several projects with the utmost quality. Be a team member who thrives in high-performance work environments, with a demonstrated record of ensuring the quality of data collecting and analysis. It is your responsibility to help the company advance its analytics and data science capabilities for a wide range of employee benefit products.

Job Title : Senior Data Scientist, Analytics – International Growth (Content)
Location : Polokwane, Polokwane, South Africa
Salary : $ 44.75 per hour.
Company : Dataiku
Job Type : Full-Time


  • Interpret and summarize model findings. Helps with business reporting. What-if scenarios Unacceptable procedures and exceptions are revealed. Based on trend estimates, accurately forecasts future difficulties. Analyzes finance and stats.
  • Consolidates current information into performance-enhancing programs. Analyze present and future best practices. Learn the company’s development concerns and practices.
  • Excellent at keeping track of time and working on their own. Prioritizes daily tasks and processes and can do more than one thing at a time. Finishes departmental and personal goals on time and with great results.
  • Make use of machine learning techniques to uncover the data’s true structure and relationships.
  • Manage your own process by identifying and executing on high-impact initiatives, triaging external requests, and ensuring that projects are completed in time for the findings to be valuable.
  • Identifies and takes action on possibilities for continual development. Risk-taking, alternative techniques, and organizational learning are all encouraged by this policy. Demonstrates a personal commitment to change by doing and talking about it. In times of stress and uncertainty, you may help people embrace change by offering support and guidance.
  • You will not only give insights on current Product & Tech initiatives, but you will also come up with creative ways to grow products based on those insights and build momentum through your influence. You would have to find a balance between critical thinking and doing real analyses using tools and packages like SQL, R, Python, Tableau, etc.
  • Perform data analysis by using structured query language (SQL), scripting languages (such as R or Python), and internal dashboards. Conduct research on the buying patterns of prior customers and the data from previous sales in order to make certain suggestions.
  • Closely collaborate with the development team to suggest data-driven solutions. Applying statistical and machine learning techniques to particular business challenges and data, Collaborate in a dynamic entrepreneurial company with numerous teams and clients in a fast-paced environment.
  • With the demonstrated capacity to create business outcomes with databased insights, we use massive data sets to uncover methods to enhance goods and processes, as well as models to figure out how beneficial certain actions are.


  • Doctorate in Computer Science with research publications in Virtual Assistant/Natural Language Processing OR Master’s degree in Computer Science, Statistics, Data Science, or a related technical field with five years of relevant work experience.
  • Diplomacy and trustworthiness are essential to the position, which necessitates the capacity to urge or persuade people To be successful in this role, you’ll need to be able to work well with people on both the inside and outside of the organization. To do one’s job well, one must constantly engage in interactions that need extensive discussion of issues, the dissemination of information, and finding solutions across several departments and divisions.
  • Knowledge of the majority of the following quantitative fields: natural language processing, information retrieval, machine comprehension, question answering/conversational AI, reinforcement learning, knowledge graph, causal inference, and design of experiment.
  • Two to three years of comparable experience (Master’s Degree) in a statistical, computer science or mathematics-related subject is required. Big data, predictive modeling, exploratory data analysis, and machine learning experience.
  • Worked with massive datasets in statistical computer languages (Python, R etc.) D3.js, matplotlib, etc. experience desired. Machine learning methods like Random Forest, SVM, k-NN, Naive Bayes, and Gradient Boosting are a bonus.

How to Apply


Job Categories: Data Scientist. Job Types: Full-Time.

Job expires in 24 days.

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