Posted 08/24/23

THE TEAM YOU WILL BE JOINING:

WHAT THEY OFFER YOU:

Culture: Excellent work environment that fosters collaboration
Growth: Ability to make an impact on the direction of the organization
Opportunity: Gain hands-on experience working with cutting-edge technology
Stability: Recent financial performance of the company has reported record profits

WHY THIS ROLE IS IMPORTANT:

Approves mathematical, statistical, and economic techniques that determine market conditions, project consumer needs, and inform business initiatives.
Analyzes and reviews trends found from modelling to inform other lines of business such as product development and marketing decisions.
Oversees data mining models, statistical reporting, and data analysis methodologies to identify key customer segments and to simulate impact of potential business decisions.
Develops and presents detailed reports and conclusions for business, finance, and investment management based on data summaries.
Analyzing results for multiple functions and communicating conclusions from complex models to a wide range of audiences.
Partners with other areas of the business to model the outcome of implementing potential business strategies.
Manages large, complex projects or processes with limited oversight while working with other team members to ensure accurate findings and results.

THE BACKGROUND THAT FITS
Required Qualifications

Bachelor’s Degree Required; Master’s Degree Preferred
3-Years Required; 5-years Preferred
Proficiency with Python and associated data science libraries
SQL experience and command of query design and optimization
Knowledge of different types of databases (e.g. relational, document, key/value) as well as experience with particular implementations and cloud versions such as Snowflake
Ability to collaborate with technical and business teams to identify specific business opportunities and use data to support decision making.
Ability to work within a fast-paced environment with quickly changing priorities. Work independently or on a team.
Ability to exercise judgment as it relates to business decisions and their effects on stakeholders. Critical thinking skills.
Must be a fast learner and willing to learn independently
The right candidate for this job is a problem solver who can also consult with business partners to solve business problems with their expertise and tools at hand

Preferred Qualifications

Machine learning background with an understanding of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization
Data science and machine learning platforms like SageMaker, Domino Data Lab
ML models using Deep Learning frameworks like TensorFlow
Financial Industry background
Customer Experience and Customer Journey models

Overview