Data Science Role - Analytics

Data Science_Analytics

- Mines data using modern tools and programming languages

- Apply advanced statistical and predictive modeling techniques to build, maintain, and improve decision systems

- Develop innovative and effective approaches to solve analytics problems and communicate results and methodologies

- Defines and implements models to uncover patterns and predictions creating business value and innovation

- Ability to translate business needs to technical requirements, propose and validate solutions

- Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives

- Ties insights into effective visualizations communicating business value and innovation potential.

- Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives

- Represents the data science team for all phases of larger and more-complex development projects

- Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.

- Drives the implementation of agreed improvement actions, initiatives, projects agreed with business and management

- Executes and coordinate internal customer requirements management and change management processes

- Proposes corrective action plans to business, management and stakeholders

- Supports quality improvement projects aiming at improving operational excellence and cost efficiency

- Creates a working environment that is conducive to individual growth, high performance, is challenging and rewarding

- Provides guidance, training and mentoring to less experienced staff members