Unilever Vacancies 2022 Apply For Senior Data Scientist Jobs In Johannesburg, Gauteng

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Unilever Vacancies 2022 Apply For Senior Data Scientist Jobs In Johannesburg, Gauteng

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Unilever Vacancies 2022 – Highlights of Senior Data Scientist Vacancies in Johannesburg?

Required Company »» Unilever Careers

Job Profile »» Senior Data Scientist

Salary »» R 796661 per year

Jobs Type »» Full Time

Job Located »» Jobs In Johannesburg

Job’s Location »» Johannesburg, Gauteng

Last Date »» Ongoing

Unilever Senior Data Scientist Vacancies Description?

UL is driving digital transformation to enable us to become an analytical competitor and deliver 4G growth. Our mission is to transform our organization into a digital-first culture, delivered by a world-class data and insights team, leaping ahead of our competition in everything we do. Our new Data Science function will lead the path for UL to become data intelligent.
The team will deliver advanced products at scale and work closely with the global team to ensure that local decisions in Unilever are augmented with insight & recommendations and to ensure we drive incremental sales and profit for the company by meeting the needs of our consumers, customers and employees.
There are five major themes to the Information and Analytics strategy:
1. Deliver Intelligent systems at scale. Powering Business (cross-functional) and Customer Development area through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future-looking decisions leveraging Big Data & Data Science.
2. Winning disproportionately in UKI. We believe that the best way to move the needle for Unilever in Analytics is to create analytics products that make a significant impact on our business and drive competitive advantage in UKI.
3. Drive Unilever to assisted and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from a vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
4. Make data a true asset. Better data and data science access for every part of Unilever, across the 3 data frameworks (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
5. World-class Information. One Version of the Facts. Continued excellence in the delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting
We are looking for an experienced Data Scientist to help to create a competitive advantage for UL through assisted and predicted decision making. This is an exciting new role in a completely new team that is developing, reporting to Data Science Team Leader. The role works closely with the global I&A Data science organisation.
You are a data scientist with a passion for data, data science, AI and ML, demonstrating an understanding of the advanced data science models and their application into the business. This role will focus on understanding and optimising the Unilever UKI Business, building advanced and repeatable data science models that enable the business to make better decisions, drive 4G, and gain a competitive advantage.
Main accountabilities:
1. Understand the business problems and how to deliver relevant insights that lead to actions
2. Gather data and build data science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and/or prescriptive analytics
3. Create experimentation to solve complex business problems and deliver predictions on future business outcomes in a repeatable and relevant way
4. Support product teams scaling models into low-touch solutions to provide optimal ROI from data science
5. 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
6. Position analytics as a tradable “currency” with customers to gain a competitive advantage
7. Drive new value from insights from connecting external and internal data sources
8. Innovate new data and analytic methodologies driven by local needs which feed into I&A’s global product pipeline
Standards of Leadership Required in This Role
  • Personal Mastery (Data-science and advanced analytics)
  • Agility
  • Passion for High Performance
  • Business Acumen
Key Skills Required
Professional Skills
  • Machine learning forecasting techniques Fully Operational
  • Statistical modelling Fully Operational
  • Operational research and supply chain Working Knowledge
  • Optimisation techniques and tools Fully Operational
  • Manipulating multi-source data Fully Operational
  • Python coding Fully Operational
  • Cloud architecture (preferably MS Azure) Working Knowledge
  • Simulation packages e.g., Analogic Working Knowledge
  • Distributed computing (Hadoop, Spark) Working Knowledge
General Skills
  • Project Management Working Knowledge
  • Communication/presentation skills Working Knowledge
Strong communication skills and ability to work with peers and demonstrate vertical and lateral influence.
Limitless curiosity and imagination to create novel business solutions
  • 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
o Working knowledge of advanced machine learning such as Deep Neural Networks, Support vector machines, reinforcement learning and Bayesian networks
o Working knowledge in classical statistics (Regression, Clustering, Optimization, Time Series, Probability)
o Deep experience in testing and measurement (A/B, multivariate, inferential measurement e.g. CausalImpact)
o Deep experience working with and coding in R, R Shiny, Python
o 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)
o Working knowledge working with large data sets, experience working with distributed computing tools a plus (Apache Spark, Hive, Impala)
o Working knowledge working in Microsoft Azure and scaling analytic products over GPUs in the cloud
  • Unilever UK Business leaders and subject matter experts
  • I&A Business Insights Team
  • CD Directors
  • CCBTs key leaders and team members
  • I&A Global Product Owner
  • I&A in-market data scientists
  • I&A in-market data experts
  • I&A in-market data analysts
  • Global business topic Subject Matter Experts
  • Analytics and Data Science product peers
  • Data Science meet-ups
  • Partner Analytics and Data Science Contractors
  • Targeted Universities for developing innovations
Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.

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FAQs For Unilever Vacancies 2022

Que.1:- What Is Unilever Vacancies 2022?

Unilever Vacancies 2022 is An Organization Based in Johannesburg, Which Every Year Indeed Jobs in South Africa.

Que.2:- What Is The Current Vacancy In Unilever Vacancies 2022?

The Current Vacancy In Unilever Vacancies 2022 Is That Of Senior Data Scientist.

Que.3:- What Is The Salary Of Unilever Senior Data Scientist Vacancies?

The Salary Of Unilever Senior Data Scientist Vacancies Is Around R 796661 per year.

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