Senior Data Scientist at Unilever

  • Research / Analysis Jobs In South Africa
  • Full time
  • 1 week ago
  • South Africa
  • Salary Rand 30,000 / Hourly
  • Shift Full Time
  • Job Qualifications Bachelor’s Degree
  • Number of vacancies 3 openings
  • Job experience 1 year
  • Job level Officer

Job Description

Unilever suitably invites qualified and experienced candidates for the position of Senior Data Scientist to join our dynamic team.

Duties & Responsibilities

The successful applicant will be responsible for but not limited to the following job functions:

What you’ll do

  • Understand the business problems and how to deliver relevant insights that lead to actions
  • Gather data and build data science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and/or prescriptive analytics
  • Create experimentation to solve complex business problems and deliver predictions on future business outcomes in a repeatable and relevant way
  • Support product teams scaling models into low-touch solutions to provide optimal ROI from data science
  • Work on in-market business problems coming from CCBTs, CD, Finance and CLT. Identify common themes to build repeatable models and partner with CD, CCBT, Finance leadership to support 4G growth through data and analytics, and/or advance the next phase of NRM
  • Position analytics as a tradable “currency” with customers to gain a competitive advantage
  • Drive new value from insights from connecting external and internal data sources
  • Innovate new data and analytic methodologies driven by local needs which feed into I&A’s global product pipeline

 Required Knowledge and Experience

We pride ourselves with having the best people, which are our most important assets. Our company has been recognized for having the highest ethics and strives for excellence through distinctly higher standards than the norm.

We therefore urge only candidates with these unique requirements and experience to apply for this stimulating position.



  • B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Engineering, or Mathematics)
  • 1- 4+ years’ work experience in a data science role with a significant focus on a large scale and/or unstructured data
  • Experience managing projects from start to finish
  • Passion for empirical research and for answering hard questions with data
  • Ability to apply an agile analytic approach that allows for results at varying levels of precision
  • Ability to communicate complex quantitative insights in a precise, and actionable manner to business leaders
  • Strong track record in solving analytical problems using quantitative and machine learning approaches o Working knowledge in common machine learning techniques such as Random Forests, Boosting, Regularized Regression, Naïve Bayes Classifiers
  • Working knowledge of advanced machine learning such as Deep Neural Networks, Support vector machines, reinforcement learning and Bayesian networks
  • Working knowledge in classical statistics (Regression, Clustering, Optimization, Time Series, Probability)
  • Deep experience in testing and measurement (A/B, multivariate, inferential measurement e.g. CausalImpact)
  • Deep experience working with and coding in R, R Shiny, Python
  • Working knowledge of data visualization concepts in reports (Power BI) and specialist tools (D3 or equivalent)
  • Knowledge of extracting and combining complex, high-volume, high-dimensionality data from multiple sources (enterprise, proprietary, IoT, public domain), including unstructured data (comment threads, audio, video)
  • Working knowledge working with large data sets, experience working with distributed computing tools a plus (Apache Spark, Hive, Impala)
  • Working knowledge working in Microsoft Azure and scaling analytic products over GPUs in the cloud



How to apply: Interested and qualified? Visit South Africa

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