Data Scientist

About the Role

As a Data Scientist at Nielsen, you will be responsible for extracting insights from large datasets to inform business decisions. This involves working with various data sources, developing predictive models, and communicating findings to stakeholders. Your day-to-day tasks will include data wrangling, feature engineering, and model deployment.

Key Responsibilities

• Develop and deploy machine learning models to solve business problems
• Analyze large datasets to identify trends and patterns
• Collaborate with cross-functional teams to integrate data-driven insights into business decisions
• Design and implement data visualizations to communicate complex findings to stakeholders
• Stay up-to-date with industry trends and emerging technologies in data science
• Develop and maintain high-quality, well-documented code
• Participate in code reviews and contribute to the improvement of the data science team's processes

Skills & Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Proficiency in Python programming language, including libraries such as Pandas, NumPy, and scikit-learn
• Experience with machine learning algorithms and techniques, including supervised and unsupervised learning
• Strong understanding of statistical concepts, including hypothesis testing and confidence intervals
• Ability to work with large datasets and develop efficient data processing pipelines
• Experience with data visualization tools, such as Matplotlib and Seaborn
• Familiarity with SQL and database management systems

What You'll Learn

As a Data Scientist at Nielsen, you will have the opportunity to work with large datasets and develop your skills in machine learning, data visualization, and statistical analysis. You will also learn how to communicate complex findings to stakeholders and work collaboratively with cross-functional teams. This role will provide you with a solid foundation in data science and prepare you for advanced roles in the field.

Resume Tip

When applying for this role, be sure to include specific examples of your data science projects and the insights you have gained from working with data. Highlight your experience with machine learning algorithms, data visualization tools, and statistical concepts, and explain how you have applied these skills in previous roles or projects.