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About the Role
This position serves as a data science team member, delivering machine learning and artificial intelligence concepts from start to finish. Responsibilities include understanding business problems, data exploration, algorithm development and validation, quantifying model value, assessing model risks, deploying models, and measuring performance.
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 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.
- Explores and aggregates data independently to uncover data anomalies that impact algorithm performance.
- Performs end-to-end feature engineering, including brainstorming, creation, validation, and down-selection.
- Writes production-level code in a dynamic, fast-paced environment.
- Applies a variety of machine learning techniques to business problems to arrive at optimal approaches.
- Partners with Product and Engineering teams to solve problems and identify trends and opportunities.
- Partners with Sales and Products to perform Customer Value tests to support business development efforts for current and future Models.
- Explains and visualizes results and algorithm performance to non-technical audiences.
- Supports the company's commitment to protect the integrity and confidentiality of systems and data.
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 a 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.
- Candidates 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.
Skills
- SAS
- Python
- SQL
- R
- Machine learning techniques
- Data visualization tools
- ML algorithms
- ML-related libraries (e.g., scikit-learn, pandas)
- Data science pipelines & workflows
Location
- Scottsdale
- San Francisco
- Chicago
- New York
- Phoenix, AZ
- Washington, DC
Work Type
- Hybrid
- Full-time
Experience Level
- Minimum 2 years of relevant experience
- Master's degree with no experience or some internship
Education Level
- Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience.
- Master’s in Mathematics, Statistics, Computer Science, Engineering, Operational Research, or related field preferred.
Salary/Compensations
- $97,000 - $124,000 (Phoenix, AZ/ Chicago, IL / Washington, DC)
- $116,000 - $149,000 (New York, NY/ San Francisco, CA)
Benefits
- Discretionary incentive plan
- Competitive medical (PPO/HDHP), dental, and vision plans
- Company contributions to Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA)
- 401(k) Retirement Plan with 100% Company Safe Harbor Match on first 6% deferral
- Flexible Time Off for Exempt employees
- Generous PTO for Non-Exempt employees
- 11 paid company holidays
- Paid volunteer day
- 12 weeks of Paid Parental Leave
- Maven Family Planning support
About the Company
- Early Warning has powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze®, and more.
- As a trusted name in payments, they partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Equal Opportunity
- Early Warning Services is an equal opportunity employer.
- 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.
- 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.
- Prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of employees.
- Pursuant to the San Francisco Fair Chance Ordinance, will consider for employment qualified applicants with arrest and conviction records.