Manager, Data Science

Key Skills

Analytical and Problem solving, Data Analysis, Data science techniques, Deep Learning, English Proficiency, Machine learning techniques, PowerBI, Python Programming, R Programming, Spotfire, Statistics, Tableau

Job Description

As the world's largest research organization, Nielsen IQ is powered by talented creative scientists. Our Data Scientist Business Leaders 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. 

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues. 
• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions.
• Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as python/r.
• Understand Nielsen products and services to suggest new solutions for client challenges.

• Collaborate with other Data Science team units.
• Automate and develop solutions for existing processes.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. 

Qualifications

• Professionals with degrees in Maths, 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.​ 

• Passionate about innovation and technology​ 
• Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.​ 
• Good ability to effectively convey complex concepts to non-experts. ​ 

• Strong Problem-Solving skills​, Innovative mindset, creativity, thinking out-of-the-box.​ 
• Intellectual curiosity and persistence to find answers to questions.​ 
• Great collaborative and interpersonal skills to communicate at all levels.​ 
• 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.​ 
• Analytical and Technical skills, Solid critical/ logic thinking.​ 
• Solid understanding of Statistics​, Strong aptitude for data analysis.​ 
• 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. ​ 

Additional Information

You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. 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. You know what’s happening in big data and you’re ready to influence what’s next.