Data Science Analyst

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

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

Responsibilities

• 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 product 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.

About you

Analytics is part of your professional path? Be part of a global team work , while you are yourself, in a work environment that fosters learning and professional growth.

Qualifications

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.

• Experience in market research or relevant field.

• Passionate about innovation and technology

• Eager to continuously learn and adapt to changing technologies and tools.

• Intellectual curiosity and persistence to find answers to questions

• Familiar with contemporary database systems

• Solid understanding of Statistics

• Experienced with programming languages such as Python and R

• MS Office - Medium