Data Scientist
Madrid, Spain
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.Company Description
19735C
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 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.
A little bit about you
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.
Job Description
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 (Tech, Product leader).
- Work closely with the Tech team to convert those POC into fully scalable products.
- Stay abreast of developments in the area to ensure bringing the most appropriate solutions to our business.
Qualifications
- Master degree in mathematics, Data Science or a closely related field
- 3+ years of experience as a Data Scientist in the business
- Strong knowledge of
- Statistical modelling
- Data mining
- Predictive analytics
- Machine learning:Forecasting, Classification, Data/Text Mining, Decision Trees, AdaptiveDecision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms, Foundational models
- Experience modelling fast moving consumer goods sales
- High proficiency in Data Science tools like Python, PySpark, DataBricks
- Experience working with a development team to deploy models in cloud environments like Microsoft Azure
- Established experience as a Data Scientist within a commercial environment
- Strong problem solving and communication skills, independent working style
Additional Information
Our Benefits
- Flexible working environment
- Health insurance
- Parental leave
- Life assurance
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: Azure Big Data Classification Data Analytics Databricks Data Mining Deep Learning Machine Learning Mathematics PySpark Python Research Statistics
Perks/benefits: Career development Flex hours Health care Insurance Parental leave Startup environment
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