Data Scientist I

Early Warning®•Chicago, IL

10d•$83,000 - $132,000•Hybrid

About The Position

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, aggregating, and exploring data, building, and validating algorithms, quantifying the value of the model to Early Warning Customers by performing simulations utilizing real world inputs, understanding, and articulating the model risks, deploying completed models to deliver business results and regularly measuring model accuracy, drift and performance.

Requirements

Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience.
A minimum of 2 years data science, engineering, mathematics, or related work/ intern/ course experience is required with Bachelor's degree or Master's degree without experience (or some internship)
Able to write Model development technical documents.
Willingness to troubleshoot system/data issues hindering the analytics environment functionality.
Experience using data visualization tools.
Able to write production level code, which is well-written and explainable.
SAS, Python, SQL or R programming training or experience.
Experience applying various machine learning techniques and understanding the key parameters that affect their performance.
Ability to effectively communicate findings from complex analyses to non-technical audiences.
Ability to communicate with various levels of employees within the department and proven technical and analytical skills.
Ability and adaptability to work on multiple projects concurrently, manipulate large data sets and produce business-relevant results.
Background and drug screen

Nice To Haves

Master’s in Mathematics, Statistics, Computer Science, Engineering, Operational Research, or related field preferred.
Knowledge of 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.
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.

Responsibilities

Produces standard and ad hoc analytic reports.
Assists with developing, testing, and documenting open-source codes for data analysis and modeling.
Performs data analysis tasks, which include programming data transformations, interpreting results and investigating root causes.
Participates in the creation of Internal model validation procedures, supporting external Model Validations, and performing regular model validation as part of the Model Risk Management program.
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, fast paced environment
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
Partnering with Sales and Products to perform Customer Value tests to support the company’s business development efforts for current and future Models.
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.

Benefits

Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
12 weeks of Paid Parental Leave
Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

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