Job DescriptionNPD group is looking for a principal data scientist on both the engineering side and the analytics side of data science. This position resides in the Global Data Quality Management group. He or she will combine the skills to create new prototypes with the creativity and thoroughness to interrogate the most challenging questions about data quality, which is at the center of NPD's value creation for our clients. This is a leadership position and will require superior ability to quickly gather information and requirements from stakeholders, formulate solution, and implement the solution within the data quality groups. This position will interact frequently with senior leadership teams and will direct and manage the work of junior data scientists. Qualified candidates will have a strong academic background in mathematics, statistics, computer science, operational research, economics, and other highly quantitative disciplines, passion about data science and machine learning and experience with big data architecture and methods.
Overall Responsibilities:
- Drive the creation of new data quality management capabilities that will bring significant operational efficiency.
- Conceptualize, analyze and develop actionable recommendations best practices in data quality processes
- Work with key stakeholders and understand their needs to develop new or improve existing solutions around data quality.
- Manage data analysis to develop fact-based recommendations for innovation projects.
- Work with cross-functional teams to develop ideas and execute business plans.
- Remain current on new developments in data quality
Qualifications- 8+ years' experience in modeling and predictive analytics with experience working with recommendation engine
- Excellent problem solving skills with the ability to design algorithms, which may include data profiling, clustering, anomaly detection, and predictive modeling methodologies
- Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, R, and other languages
- Familiarity with Agile methodology
- Ability to work cross-functionally in a highly matrix driven organization under ambiguous circumstances
- Broad understanding and experience of recommendation engine
- Personal qualities desired: creativity, tenacity, curiosity, and passion for deep technical excellence
- Advanced degree in a quantitative field (Statistics, Mathematics, Economics, etc.), PhD highly preferred.
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