Data Scientist

Job Description

Data Scientist

REF25774B 

About the job

NielsenIQ Advanced Analytics team develops and promotes a portfolio of global products. Leveraging NielsenIQ’s unparalleled data and global platforms, the Advanced Analytics team creates solutions to enable our clients to make better business decisions every day.  We partner with Product Owners and Core Technology Teams to build scalable, always on, analytic products using relevant modeling/ML techniques. 

We’re looking for a passionate and talented Senior Data Scientist to join our growing team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to sustain NielsenIQ Analytics growth. Successful candidates are intellectually curious builders and active learners who are biased toward action, new problem solving. 

Rationale:

You’ve built a decent track record in research and data analytics. And you have the communication chops to translate it all into conversations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of technology takes someone who recognizes that. You know what’s happening in big data and you’re ready to influence what’s next. 

Responsibilities

• Understand business issues, stakeholder requirement and expectations 
• Perform relevant modeling analysis and POC exploring multiple techniques 
• Ensure Analytics model quality 
• Document and present findings and recommendations on methodology in a structured way to various stakeholder or partnering teams (Engineering, Tech, Product leader…). 
• Work closely with the Engineering and Tech team to convert those POC into fully scalable products. 
• Active and effective collaboration with other project team members (other Data Scientist, Data Steward, Technology Engineer…) 
• Stay abreast of developments in the area to ensure bringing the most appropriate solutions to our business  

Qualifications

• Masters degree in Data Sciences, mathematics or a closely related field 
• 3+ years of experience as a Data Scientist in the business 
• Strong theoretical knowledge of statistical modelling and foundational mathematical concepts. 
• Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms 
• Experience with Optimisation techniques: linear programming, integer programming, genetic algorithm, constrained optimisation 
• Experience in working on distributed or cloud computing platforms such as Google Cloud or Microsoft Azure 
• Proficiency in Data Science coding languages like Python 
• Proficiency in SQL 
• Experience using collaborative development tools (git…). 
• Experience working with Agile methodologies (SCRUM) 
• Strong problem solving and excellent communication skills, independent working style 

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

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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/