Data Scientist I

Early Warning (Zelle); Scottsdale (AZ); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Early Warning is seeking a data science team member to deliver cutting-edge ML/AI concepts from problem framing to deployment. The role involves data aggregation, modeling, validation, and monitoring to quantify model value for customers and to manage risks.

The ideal candidate has at least 2 years in data science or related fields, strong Python/SAS/SQL skills, and experience communicating complex analyses to non-technical audiences. Hybrid work options in multiple cities are available.

Qualifications

• Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience.
• Minimum of 2 years data science, engineering, mathematics, or related work/ internship/ course experience.
• Ability to write Model development technical documents.
• Willingness to troubleshoot system/data issues hindering analytics.
• Experience using data visualization tools.
• Ability to write production level, explainable code.
• Experience SAS, Python, SQL or R programming.

Responsibilities

• Produce standard and ad hoc analytic reports.
• Develop, test, and document open-source codes for data analysis and modeling.
• Perform data analysis tasks including transformations and root-cause investigation.
• Participate in internal model validation procedures and external validations.
• Explore and aggregate data to uncover anomalies affecting model performance.
• End-to-end feature engineering from brainstorm to validation and down-selection.
• Write production-level code in a dynamic environment.
• Apply machine learning techniques to business problems to find optimal approaches.
• Collaborate with Product and Engineering to identify trends and opportunities.
• Explain results and visualize model performance to non-technical stakeholders.
• Support data/system security and confidentiality.

Skills

Data analysis

Communication

Production code

Multi-tasking

Problem solving

Education

Bachelor's degree in STEM/CS/OR

Master's degree preferred

Tools

SAS

Python

SQL

R

scikit-learn

pandas

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, 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.

Essential Functions

• 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.

Minimum Qualifications

• 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

Preferred Qualifications

• 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.

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