Early Warning®
Principal Data Scientist - Payment
Early Warning®, San Francisco, California, United States, 94199
Join to apply for the Principal Data Scientist - Payment role at Early Warning®
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 is a senior technical role within Data Sciences. This role assumes analytic project ownership, starting from conceptualization and design. It oversees the process of development, implementation and enhancement of analytically derived models and products in a high‑volume, high‑throughput data environment. Responsibilities also include providing leadership and mentoring to junior analysts in the technical aspects of their assignments. This position will have frequent interactions with other departments as necessary.
Essential Functions
Participate in or lead the design, development, and maintenance of analytically derived models for assessing risk and detecting and preventing fraud.
Design data ETL and storage schemes for complex datasets from various sources.
Play leading role in supporting large‑scale business initiatives.
Preparation of analytic detail design documentation.
Oversee documentation of analytic solutions developed.
Responsible for overall analytic data processes, designing and directing program development.
Research and recommend new analytical techniques/software and train the team members accordingly.
Manage a team of data scientists, if needed.
Ability to support multiple projects concurrently; develop and manage timelines for all project activities.
Prepare and present technical information in appropriate form to management as well as to technical colleagues.
Support the company's commitment to protect the integrity and confidentiality of systems and data.
Minimum Qualifications
Bachelor’s Degree in Mathematics, Statistics, or related field.
A minimum of 10 years data analytics experience in a data‑rich environment (or equivalent education and experience).
A minimum of 7 years experience in efficient programming enabling timely manipulation and analysis of large data sets.
Advanced experience in data mining, data manipulation and data step programming using Pyspark, Scala and Hive.
Advanced experience in designing and utilizing a wide variety of machine learning, predictive modeling, and optimization techniques.
Extensive knowledge of commonly used, industry‑related analytical data sources.
Proven experience with understanding business requirements and translating into an analytic design.
Strong ability to effectively communicate findings from complex analyses to non‑technical audiences.
Proven ability to evaluate different analytical approaches and select the optimal design and techniques.
Capability to lead large‑scale analytic projects independently involving multiple analysts and partner with other departments.
Background and drug screen.
Preferred Qualifications
Advanced degree strongly preferred.
Deep knowledge of advanced ML algorithms.
Experience using ML‑related libraries, such as scikit‑learn, pandas, etc.
Experience in writing and tuning SQL.
2+ years experience working with financial data.
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.
Compensation Base pay scale: Phoenix, AZ/ Chicago, IL $158,000‑$205,000 per year; New York, NY/ San Francisco, CA $189,000‑$230,000 per year. Candidates are eligible for a discretionary incentive plan and benefits. Pay is subject to change.
Benefits
Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans; company contributions to HSA or FSA for health & dependent care expenses.
401(k) Retirement Plan – 100% Company Safe Harbor Match on first 6% deferral.
Paid Time Off – Unlimited Time Off for Exempt employees; generous PTO for Non‑Exempt; 11 paid company holidays and a paid volunteer day.
12 weeks of Paid Parental Leave.
Family Planning – support through egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
Equal Opportunity Early Warning Services is an equal opportunity employer. We consider qualified applicants for employment discloses that selection is based on ability, potential, and qualifications without regard to protected characteristics. We comply with all applicable laws. For more information see our EEO statement.
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.
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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 is a senior technical role within Data Sciences. This role assumes analytic project ownership, starting from conceptualization and design. It oversees the process of development, implementation and enhancement of analytically derived models and products in a high‑volume, high‑throughput data environment. Responsibilities also include providing leadership and mentoring to junior analysts in the technical aspects of their assignments. This position will have frequent interactions with other departments as necessary.
Essential Functions
Participate in or lead the design, development, and maintenance of analytically derived models for assessing risk and detecting and preventing fraud.
Design data ETL and storage schemes for complex datasets from various sources.
Play leading role in supporting large‑scale business initiatives.
Preparation of analytic detail design documentation.
Oversee documentation of analytic solutions developed.
Responsible for overall analytic data processes, designing and directing program development.
Research and recommend new analytical techniques/software and train the team members accordingly.
Manage a team of data scientists, if needed.
Ability to support multiple projects concurrently; develop and manage timelines for all project activities.
Prepare and present technical information in appropriate form to management as well as to technical colleagues.
Support the company's commitment to protect the integrity and confidentiality of systems and data.
Minimum Qualifications
Bachelor’s Degree in Mathematics, Statistics, or related field.
A minimum of 10 years data analytics experience in a data‑rich environment (or equivalent education and experience).
A minimum of 7 years experience in efficient programming enabling timely manipulation and analysis of large data sets.
Advanced experience in data mining, data manipulation and data step programming using Pyspark, Scala and Hive.
Advanced experience in designing and utilizing a wide variety of machine learning, predictive modeling, and optimization techniques.
Extensive knowledge of commonly used, industry‑related analytical data sources.
Proven experience with understanding business requirements and translating into an analytic design.
Strong ability to effectively communicate findings from complex analyses to non‑technical audiences.
Proven ability to evaluate different analytical approaches and select the optimal design and techniques.
Capability to lead large‑scale analytic projects independently involving multiple analysts and partner with other departments.
Background and drug screen.
Preferred Qualifications
Advanced degree strongly preferred.
Deep knowledge of advanced ML algorithms.
Experience using ML‑related libraries, such as scikit‑learn, pandas, etc.
Experience in writing and tuning SQL.
2+ years experience working with financial data.
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.
Compensation Base pay scale: Phoenix, AZ/ Chicago, IL $158,000‑$205,000 per year; New York, NY/ San Francisco, CA $189,000‑$230,000 per year. Candidates are eligible for a discretionary incentive plan and benefits. Pay is subject to change.
Benefits
Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans; company contributions to HSA or FSA for health & dependent care expenses.
401(k) Retirement Plan – 100% Company Safe Harbor Match on first 6% deferral.
Paid Time Off – Unlimited Time Off for Exempt employees; generous PTO for Non‑Exempt; 11 paid company holidays and a paid volunteer day.
12 weeks of Paid Parental Leave.
Family Planning – support through egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
Equal Opportunity Early Warning Services is an equal opportunity employer. We consider qualified applicants for employment discloses that selection is based on ability, potential, and qualifications without regard to protected characteristics. We comply with all applicable laws. For more information see our EEO statement.
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.
#J-18808-Ljbffr