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
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Banking
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