Sr. Data Scientist - Data Analytics And Tools

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.

Overall Purpose

Serves as the liaison between Analytics and IT teams and is responsible for assisting the Analytics team to efficiently coordinate activities related to environment modernization and regular maintenance thereby minimizing downtime for the Analytics groups. Identifies needs, exploring new technologies, and applying data sciences/machine learning concepts to further optimize the Data Sciences value chain to deliver products to the market faster. Works closely with key stakeholders in both IT, Analytics, Products, and other internal stakeholders.

Essential Functions

Core duties will require involvement in multiple knowledge areas working as a central support point of contact for all Analytics tools and applications

• Advocate and drive an efficient and reliable capacity management for software and hardware utilized by the Analytics team, including Data Robot, Hadoop cluster, HDFS, Yarn, Hive, Spark, Kafka, HBase, Solr, Linux servers, and others.

• Assist with developing data science pipelines and workflows in Python or R

• Develops system automation and scripting

• Assist with maintaining the Analytics environment architecture inventory

• Writing and tuning SQL or interacting with databases, data warehouses, and data lakes

• Guide efforts applied to identification, enhancement, and automation

• Prepares test strategy, test plan, test cases, and test summary documents.

• Produce and report metrics.

• Participate in and support initiatives for Business Continuity and Disaster Recovery.

• Support the company's commitment to protect the integrity and confidentiality of systems and data.

• Ensure testing policies and procedures are followed.

Qualifications

• Education and experience typically obtained through completion of a Bachelor's Degree in Quantitative fields and/or Computer Science; Advanced Degree preferred.

• Five or more years of related experience.

• Experience with open-source frameworks and tools.

• Understanding machine learning techniques and understanding the key parameters that affect their performance.

• Ability to effectively communicate findings from complex analyses to non-technical audiences.

• Keen troubleshooting skills across tiers/domains.

• Experience handling large datasets in data lake or data warehouse.

• Ability to write well-written and explainable production level code.

• Experience in Agile and DevOps software development philosophy, methodologies, practices, and procedures.

• Demonstrate ability to work effectively in cross-functional groups and generate results.

• Work experience that demonstrates a strong sense of ownership, urgency, and drive.

• Ability to envision project goals, product architectural solutions, and focus on details and tasks to ensure successful implementation.

• Ability to work independently and handle multiple deadline-driven projects simultaneously.

• Background and drug screen.

Preferred Qualifications

• Financial industry experience

• Experience in leading cross-functional teams to create technical solutions and implementation.

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 lift10 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.

Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire

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 pay scale for this position in:

Phoenix, AZ/ Chicago, IL in USD per year is: $120,000 - $145,000.

New York, NY/ San Francisco, CA in USD per year is: $125,000 - $150,000.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Additionally, candidates are eligible for a discretionary bonus, and benefits.

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

• 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.

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can 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.