Data Scientist

About this Role

Agility Partners is seeking a qualified Senior Data Scientist to fill an open position with one of our banking clients. As a Senior Data Scientist you will join a dynamic team and you will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve.

Responsibilities:

• Performs advanced analytics methods to extract value from business data
• Performs large-scale experimentation and build data-driven models to answer business questions
• Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
• Determines requirements that will be used to train and evolve deep learning models and algorithms
• Articulates a vision and roadmap for the exploitation of data as a valued corporate asset
• Influences product teams through presentation of data-based recommendations
• Evangelizes best practices to analytics and products teams
• Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring

Benefits and Perks

Reasons to Love It:

This is a great opportunity to work for a mid-sized financial institution that is striving to be the bank of choice; one that focuses on its customers, not its competition. An organization that provides a dynamic, fulfilling work environment that is productive, collaborative and innovative.

• Highly visible team with a regional financial services company where your work matters and your accomplishments are recognized!
• Amazing opportunity for growth, healthy work/life balance and a community focused environment
• Working for an organization that focuses on company culture, inclusion and diversity
• On a team whose Core values that include: Can-Do Attitude, Service at Heart and Forward Thinking
• 50% medical coverage for you and your entire family, short/long term disability and life insurance options
• 401(k)
• Life Insurance
• Disability coverage

The Ideal Candidate

Qualifications:

• Up-to-date knowledge of machine learning and data analytics tools and techniques
• Strong knowledge in predictive modeling methodology
• Experienced at leveraging both structured and unstructured data sources
• Willingness and ability to learn new technologies on the job
• Demonstrated ability to communicate complex results to technical and non-technical audiences
• Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
• Strategic, intellectually curious thinker with focus on outcomes
• Professional image with the ability to form relationships across functions
• Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
• Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
• Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
• Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
• Financial Services background preferred