About the Role:
Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and own Nielsen direction. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us!
Role Details:
- Design, Execute and Deliver analytical studies extracting and utilizing data from multiple sources to identify new insights for internal teams.
- Prepare communications of study results for broad distribution to clients and internal teams through written and video media.
- Develop and maintain performance dashboards and web-based reporting tools.
- Engage with internal stakeholders to ensure the development and successful implementation of plans to address performance opportunities.
- Proactively identify potential risks to the data quality of analyses, assist in required investigations to ensure prompt and accurate resolution of potential issues.
- Communicate effectively with clients and internal stakeholders to ensure the quality of input data used in analyses, the understanding of results, and successful completion of follow-up actions.
- Maintain flexibility in working in a dynamic work environment where delivery schedules and priorities fluctuate according to client needs and external department demands.
- Work collaboratively with colleagues in the same location and in offices located globally.
- Recommend improvements in processes and procedures within the area of responsibility.
Role Qualifications:
Minimum Requirements:
- Strong Analytical and technical capabilities.
- Intermediate / Advanced in Python for Data Science.
- Proficient in Google workspace (Formerly G Suite) tools such as Sheets, Docs and etc.
- Proficient in Relational databases and SQL.
- Sound understanding and Knowledge of statistical concepts and tools.
- Ability to work in a virtual environment.
Preferred requirements:
- Experience in building and deploying applications on cloud platforms.
- Conceptual understanding of Machine Learning Algorithms.
- Proficiency in Atlassian Suite such as JIRA and Confluence.
- Experience in a version control system like Bitbucket / GitLab.
- Knowledge of dashboarding and visualization tools like Spotfire/Tableau.
Soft Skills:
- Motivated, proactive, detail-oriented, and strong commitment to timely execution of tasks.
- Critical thinking and problem solving.
- Organizational skills (Time management and prioritization)
- Strong written and verbal communication skills with the ability to instill confidence with internal stakeholders and clients.
- Open to constructive feedback and readiness to adapt