at Early Warning Services in Chicago, Illinois, United States
Job Description
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 data science team member in the company delivering leading edge machine learning and artificial intelligence concepts from start to finish in collaboration with senior technical and business leaders. This includes understanding the business problem/need, exploring and aggregating data, building and validating algorithms, and deploying completed models to deliver business results.
Essential Functions
Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
End to end feature engineering - brainstorm, create, validate, down-select, etc.
Write production level code in a dynamic, start-up environment
Solve complex problems using terabyte size data sets
Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Explain and visualize results and algorithm performance to non-technical audiences
Support the company's commitment to protect the integrity and confidentiality of systems and data.
Support the company's commitment to protect the integrity and confidentiality of systems and data.
Minimum Qualifications
Bachelor's Degree in Mathematics, Statistics, Computer Science, Operational Research or related field;
A minimum of 4 years data science, engineering, mathematics, or related work experience is required.
Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets
Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
Experience using ML libraries, such as scikit-learn, mllib, etc.
Experience using data visualization tools
Able to write production level code, which is well-written and explainable
Interest to do lots and lots of proof of concepts/rapid prototyping
Ability to effectively communicate findings from complex analyses to non-technical audiences.
Background and drug screen
Preferred Qualifications
PhD/MSc in Mathematics, Statistics, Computer Science, Operational Research or related field; Advanced degree preferred.
Knowledge of advanced ML algorithms
2+ 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.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.
The pay scale for this position in:
Phoenix, AZ and Chicago, IL in USD per year is: $100,000 - $120,000
San Francisco, CA and New York, NY in USD per year is: $100,000 - $130,000
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a... For full info follow application link.
Early Warning is an equal opportunity employer that takes affirmative action to employ, and advance in employment, qualified minorities, women, individuals with disabilities and covered veterans.
