Deloitte leads with purpose, solving complex issues for our clients and communities. Across disciplines and across borders, Deloitte Global supports our network of member firms by developing and driving global strategy, programs, and platforms, and creating new solutions and transformational experiences. Our people share a passion for igniting change and a strong service orientation that shapes our organization and those it supports.
Develop and implement data harvesting best practices and capabilities for data driven insights.
Pioneer new uses of data to drive adoption, improve decision making, measure performance and improves efficiency.
Architect, develop and implement models and algorithms that will enable and elevate data-driven decisions.
Advise product owners on advanced capabilities and new testing scenarios.
Distills qualitative and quantitative insight to communicate compelling stories.
Collaborates with Functional and Technical teams to gain understanding of business problems, technical solutions to develop data science solutions.
Assists in the documentation of requirements, use cases, user stories, test plans, and test scripts required to ensure data science solutions are developed and tested to meet fit intended purpose, meet business needs and are operationally sustainable.
Duties and Responsibilities
Partner closely with stakeholders to identify high-impact applications of data to solve meaningful business problems.
Identify, mine, and analyze med and large size datasets to unearth insights that drive new business value for clients.
Develop robust statistical and machine learning models and implement processes to evaluate, automate and improve model performance.
Lead efforts with various functions to test, deploy and iterate on data science solutions
Build, execute, and evaluate A/B tests
Manages the progress of projects by tracking activity, resolving issues, and recommending actions; Provides senior management and project management with regular updates on deliverable timeline and project status.
Analyzes data and collaborates with leadership and technical teams to identify potential insights to drive decision making
Responds proactively to both business and project issues and escalates appropriately.
Train other data scientists in area of expertise
Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them)