At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
This position serves as a senior data science team member in the company developing techniques to identify entities at risk in a moment in time in a multifaceted, high-volume, high-throughput data environment. This position requires extensive background and knowledge in machine learning. Previous experience in analyzing large datasets and developing data-driven statistical models is required.
Essential Functions
- Identifies, experiments with, and develops appropriate machine learning techniques to extract the value in data from various sources to solve valuable business problems.
- Assists with the development of complex consumer profiles which are used for model training and real-time scoring.
- Take the key role in the development and implementation of product-prototype models.
- Assesses overall performance, stability, and effectiveness of analytically derived models.
- Documents and presents model process and model performance.
- Collaborates with software engineers to define statistical components for unit testing and acceptance testing.
- Translates high level business objectives into quantifiable analysis tasks. Identifies and recommends new modeling and analytics opportunities.
- Remains fluent with emerging technologies and methodologies, shares knowledge, and serves as subject expert and a mentor to junior data scientists.
- Support the company's commitment to protect the integrity and confidentiality of systems and data.
Minimum Qualifications
- Bachelor’s Degree in Mathematics, Statistics, Machine Learning, Computer Science or related field.
- A minimum of 6 years working experience in predictive modeling, optimization, and machine learning (or equivalent education and experience).
- Advanced experience in data mining with a range of advanced technical tools (Python, R, Hadoop, Hive, SQL, Java, Spark, etc.) for timely manipulation of large data sets.
- Experience with various machine learning methods including classification/tree, SVM and ensemble approaches.
- Experience in utilizing a wide variety of statistical modeling techniques.
- Experience with understanding business requirements and translating into an analytics design.
- Effective communication skills.
- Proven ability to coordinate or lead data scientists on projects.
- Background and drug screen.
Preferred Qualifications
- PhD/MSc in Mathematics, Statistics, Computer Science, Operational Research or related field; Advanced degree preferred.
- Deep knowledge of advanced ML algorithms.
- Experience using ML-related libraries, such as scikit-learn, pandas, etc.
- Experience in writing and tuning SQL.
- Experience developing data science pipelines & workflows in Python, R or equivalent programming languages.
- 2+ years’ experience working with financial data.
- 4+ years of industry experience in machine learning.
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
- Experience exploring data and finding hidden patterns.
Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.