Data Science Lead for ConvergePROSPERITY, Deloitte Consulting
Are you looking for an organization with start-up spirit AND enterprise strength? Deloitte's ConvergePROSPERITY hybrid business offers both! You will be key member of the leadership team for ConvergePROSPERITY Growth Engines team as a data scientist lead. ConvergePROSPERITY is hybrid business that is committed to partnering with our clients to enable financial security and prosperity for all. The Growth Engines team builds and manages solutions to improve customer relationships, enable accelerated acquisition, and improved customer stickiness.
You will help lead a team focused on developing cutting-edge quantitative solutions that address our client's most challenging problems in the financial services industry. You will be providing advanced technical leadership, guiding research and applications of quantitative methods, but will also provide direct supervision, mentorship, support, guidance, and oversight for the team. This is an exciting, hands on role that will stretch your knowledge and curiosity, offering the opportunity to deepen your skills, and solve novel problems.
Drive the application of rigorous data science in the development of industry solutions
Support the planning and direction of a project and effectively prioritize goals
Lead discussions at peer review and use quantitative skills to positively influence decision making
Help identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models
Deploy your algorithms to production to identify actionable insights from large databases
Compare results from various methodologies and recommend best techniques to stakeholders
Develop and embed automated processes for predictive model validation, deployment, and implementation
Experience working closely with an engineering organization to define applications and manage them through the entire product lifecycle
Develop product artifacts such as product positioning, messaging, presentations, sales tools, marketing collateral, and product demonstrations for use in Go To Market efforts
Ensure SDLC best practices and standards are followed
An undergraduate degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (advanced degree preferred)
3+ years of experience providing advanced analytics solutions
Prior experience working with large quantitative and qualitative datasets
Experience with programming languages such as Python, R, and VBA; and query languages such as SQL
Experience with data visualization tools (e.g., Tableau, Qlik, Power BI)
Proficiency with data extraction, transformation, and loading to support advanced analytics
Experience with a wide range of analytics techniques, such as statistics, machine learning, natural language processing, optimization, simulation, or closely related techniques
Ability to use appropriate methodology and approach for data science solutions to business problems
Familiarity with cloud computing technology
Strong collaboration skills
The ability to excel in a fast-paced environment
*Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
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