Deloitte Data Scientist in Philadelphia, Pennsylvania
Data Scientist 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 ConvergePROSPERITY Growth Engines team as a data scientist. 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.
Apply data science techniques to solve complex business problems
Explain analytics model behavior / results in the vernacular of the market need
Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques
Deploy models into production
Perform exploratory data analysis to define analytical models
Consistently strive to acquire new skills on AI / ML, Cloud, Big Data technologies
Support and coach your team on best coding practices, development tools, and pathfinding and surveys for technologies
Ensure SDLC best practices and standards are followed
A BA/BS degree in Computer Science, Statistics, Data Science, Engineering, Applied Mathematics, or similar Quantitative Field with a minimum 2+ yrs. of experience as data scientist
An advanced degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field
Expert understanding of a programming language such as Python
Demonstrated ability to write high-quality, production-ready code
Demonstrated ability to develop novel machine learning methods that go beyond putting together of existing code, and to apply problem-solving skills to complex issues
Previous financial services industry experience
Proven ability to successfully collaborate with internal stakeholders from various levels and areas of the organization and drive successful outcomes cross-functionally
Excellent written and verbal communication skills
Ability to work autonomously and collaboratively as part of a team to both teach and learn every day
Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras
Familiarity with cloud computing services (AWS, GCP, or Azure)
Experience with product management or product marketing for software, analytics and/or SaaS-based products
Experience working closely with an engineering organization to define applications and manage them through the entire product lifecycle
*Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.