Senior Data Science Executive

Job Description

Work Approach:

•Take ownership of Data Science solutions for client requests and provide initial recommendations for complex client-raised issues.

•Support both Internal and External Clients with understanding Data Science design and methodology.

•Become the next in line to senior managers in meetings with clients and senior stakeholders 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.

•Collaborate with other Data Science team units.

•Automate and develop solutions for existing processes.

•Self-directed

Stakeholder Management:

Work with direct manager, colleagues, and other stakeholders such as CS team, Commercial and Product Leaders. Take direction from manager and senior colleagues.

Strive to reduce complexity and create clarity.

Technical Proficiency:

●Experience in the following areas: machine learning, trend analysis, multivariate statistics (parametric/ non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, generalization, and model validation techniques.

●Domain expert in at least one area: Demography, Sampling, Statistical Modeling, Research Practices, Data Integration, Digital.

●Ability to manipulate, analyze and interpret large data sources.

●Experienced in high-level programming languages (e.g. Python, R, SQL, Scala), as well as with data visualization tools (e.g. PowerBI, Spotfire, Tableau, MicroStrategy).

●Able to work in virtual environment. Familiar with git/Bitbucket processes

Analytical Problem Solving:

●Ability to formulate the right questions, hypotheses. Can use logical reasoning process to break down and work through increasingly challenging situations or problems to arrive at positive outcomes.

●Identify and use data from various sources to uncover root causes and to influence decisions.

●Effectively interpret the data in relation to business objectives. And demonstrate the findings in a compelling manner

Social Intelligence:

●Ability to engage/communicate with stakeholders/other groups and navigate multicultural environments.

●Ability to effectively communicate about complex data analysis and challenges

●Can adapt to change and new ideas or ways of working.

●Exhibits emotional intelligence when partnering with internal and external stakeholders.

●Ability to work in a global context and connecting to stakeholders in different parts of the world

Product Mindset:

●Demonstrates “Outside-in-thinking” by viewing product development from a client perspective.

●Embraces change, innovation, and iterative processes in order to continuously improve product value to clients.

●Continually collaborate & support to improve the product.

●Vigorous participation in communication plans, deliverables, and deadlines

Qualifications

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

•2-3 years of experience in market research or a relevant field.

●Mastering the knowledge of Nielsen suite of products

●Understanding client concerns

●Able to propose ways to solve client concerns with minimal guidance

●Automation and development of solutions for existing processes with minimal guidance

Measures of Success:

●Plan and work on client's concerns independently within the provided timeframe. Can effectively solve challenging problems.

●Works on and complete Proof of Concepts (POCs)

●Works well with colleagues, communicate, and present effectively the outcome of the work.

●Upholds the NielsenIQ Operating Principles.

●Stakeholders and colleagues recognize the impact of the work.

Additional Information