ABOUT THIS 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.
Roles & 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…)
Collaboratively manage projects from timeline creation to project completion, managing expectations with leaders and colleagues
Encourage team building, best practices sharing especially with more junior team members.
Stay abreast of developments in the area to ensure bringing the most appropriate solutions to our business
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.
Masters degree in Data Sciences, mathematics or a closely related field
3 to 5 years of experience as a Data Scientist in the business
Strong knowledge of statistical modelling, machine learning.
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, PySpark, SQL, R in a cloud environment like DataBricks
Experience using collaborative development tools (git…).
Experience working with Agile methodologies (SCRUM)
Strong problem solving and excellent communication skills, independent working style
Experience in an FMCG company is a strong plus
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. 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.