Data Scientist I

Early Warning Services LLC; Chicago (IL); Hybrid; USD 97,000 - 124,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan

Paid Time Off

Paid Parental Leave

Maven Family Planning

Job summary

Early Warning Services, LLC in Chicago, IL, seeks a data science professional to deliver machine learning solutions from problem framing to deployment, collaborating with product and engineering to turn data into business value.

This role requires at least 2 years in data science or a related field, strong communication with non-technical stakeholders, and the ability to work in a hybrid environment. We offer the comprehensive benefits and a hybrid work model to support collaboration.

Qualifications

• Requires a bachelor's degree in a quantitative field or related experience.
• Minimum 2 years of data science, engineering, mathematics, or related work.
• Ability to write model development technical documents.
• Experience with data visualization tools is required.
• Must be able to write production-level, explainable code.
• Experience with SAS, Python, SQL or R programming.

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, including transformations and root-cause investigations.
• Participates in internal model validation procedures and external validations.
• Explore and aggregate data to uncover anomalies impacting model performance.
• End-to-end feature engineering and production-ready code delivery.
• Apply ML techniques to business problems to find optimal solutions.
• Collaborate with Product and Engineering to identify trends and opportunities.
• Support customer value testing to aid business development for models.
• Explain and visualize model results to non-technical audiences.

Skills

Python

SQL

R

SAS

Data Visualization

Education

Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field

Master's degree preferred

Tools

scikit-learn

pandas

SQL tooling

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.

Early Warning follows 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 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 base pay scale for this position in:
Phoenix, AZ/ Chicago, IL / Washington, DC in USD per year is: $97,000 - $124,000.
New York, NY/ San Francisco, CA in USD per year is: $116,000 - $149,000.
Additionally, candidates are eligible for a discretionary incentive plan and benefits.

Early Warning Services is an equal opportunity employer.

Some of the Ways We Prioritize Your Health and Happiness

• 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 -Flexible 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.

AndSOmuch more! We continue to enhance our program, so be sure tocheck our Benefits page herefor the latest. Ourteamcan share more during the interview process!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Early Warning Services, LLC (\"Early Warning\") considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.