Data Scientist

Job Description

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 and 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…)
• Stay abreast of developments in the area to ensure bringing the most appropriate solutions to our business

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.

Qualifications

• Masters degree in Data Science, Statistics, 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.
• Ability to develop advanced statistical models, machine learning algorithms and computational algorithms and apply to it is the business domain
• 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 and SQL in a cloud-based environment like DataBricks
• Proficiency in SQL working with large datasets
• Experience using collaborative development tools (git…).
• Experience working with Agile methodologies (SCRUM)
• Strong problem solving and excellent communication skills, independent working style

• Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
• Recharge and revitalize with help of wellness plans made for you and your family.
• Plan your future with financial wellness tools.
• Stay relevant and upskill yourself with career development opportunities.