Manager, Data Science
Johannesburg, South Africa
Applications have closed
NielsenIQ
We’re unrelenting in our pursuit of the most detailed data sets, measuring every consumer transaction to deliver the knowledge that every business needs to drive growth.Job Description
Overview
As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.
What You’ll Do
- Own Data Science for a specific market/industry on new and already established products, services and design.
- Be a Data Science business partner for commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
- Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state-of-the-art methodologies in Data Science.
- Support Client and Commercial teams with Data Science design and methodological questions.
- Play a leading role in the application of data and analytics strategies in support of clients’ business needs.
- Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
- Collaborate and align with other Data Science team units to deliver and prioritize objectives.
- Enable Data Science technology solutions on the ground and ensure solutions meets client needs.
- Leverage Product Enhancement, Product and Technology teams to bring to the market services and solutions.
- Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions.
- Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases.
- Coach and develop junior data scientists.
Qualifications
Experience
- Professionals with degrees in Mathematics, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
- 5+ years of experience in market research or relevant field
- Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market.
Qualifications
Soft skills qualifications:
- Passionate about innovation and technology
- Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.
- Innovative mindset, creativity, thinking out-of-the-box.
- Good ability to effectively convey complex concepts to non-experts.
- Strong Problem-Solving skills
- Intellectual curiosity and persistence to find answers to questions.
- Great collaborative and interpersonal skills to communicate at all levels.
- Ability to set priorities.
- Good leadership skills.
- Business acumen, consultative skills and empathy for clients.
- Great command of written and spoken English
- Eager to continuously learn and adapt to changing technologies and tools.
- Good ability to make decisions and successfully manage multiple assignments concurrently in a high-pressure environment.
- Good people management skills and coaching.
- Analytical and Technical skills:
- Solid understanding of Statistics
- Strong aptitude for data analysis.
- Solid critical / logical thinking.
- Business acumen, finance and budgeting knowledge
- Experienced in data visualization tools (e.g., Spotfire, Tableau, etc) and mapping tools.
- Experienced with programming languages such as Python and R.
Optional Qualification
- Working knowledge with collaboration tools such as Google Suite (Googlesite, Google Data Studio), Atlassian,Git, Bitbucket and Confluence.
- Familiar with NielsenIQ systems/products. (for internal-it is required)
- Familiar with Machine Learning
- Familiar with Cloud computing such as AWS, GCP, Microsoft Azure, etc.
- Working experience with contemporary database systems.
- Familiarity with marketing analytics, including designing experiment and consumer behavior analysis.
- Familiar with Project Management.
Additional Information
About NielsenIQ
NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.
Learn more at: www.niq.com
Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook
Our commitment to Diversity, Equity, and Inclusion
NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.
We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.
Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Bitbucket Confluence Data analysis Data Analytics Data Studio Data visualization Engineering Finance GCP Git Machine Learning Market research Mathematics Physics Python R Research Spotfire Statistics Tableau
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