Oversees data mining using modern tools and programming languages.
Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.
Drives the implementation of models to uncover patterns and predictions creating business value and innovation.
Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.
Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.
Leads a project team of data science professionals and provides guidance, training, and mentoring to less experienced staff members.
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data science team for all phases of larger and more-complex development projects.
Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.
Programming Language/s Certification (SQL, Python, or similar)

Data Scientist – Commercial PCs

Key skills