Senior, Data Scientist

Job Description

• Execute best-in-class advanced analytics with scalable and reusable codebase and models that solve business problems.
• Coordinate closely with Sr & Lead Data Scientists to generate and test hypotheses that align with priority use cases.
• Comply with analytics standards, including guidelines for tailoring analytics methodologies to specific use case needs (e.g., ML, AI, descriptive analytics).
• Define batch or real-time streaming data needs, evaluate data quality, and extract/manipulate data in a "Big Data" environment.
• Define internal and external data needs, quality measures and suitability for use.
• Support the building of predictive models to identify opportunities to provide further support to Business Units.
• Generate high impact visualizations to communication findings generated from data.
• Work with Data and Solution Architecture teams as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics.
• Support Sr & Lead Data Scientists to build enterprise-wide data assets that will accelerate delivery of new use cases and help train machine learning models.
• Employer will accept a Master's degree in Computer Science, Computer Engineering, Business Analytics, or related field.

Position Requirements

• Complex algorithms and analytics methodologies across multiple platforms and languages;
• Communication with non-technical functions to deliver solutions that support decision making;
• Core analytical and statistical methods, including regression, segmentation/clustering, predictive modeling, time-series analysis and machine learning techniques;
• Utilizing programming languages to perform analytical modeling, including Python and SQL;
• Building and deploying analytical models;
• Code versioning and managing code base in Git and Gitlab products.