Principal Associate, Data Scientist - US Card Acquisitions

Principal Associate, Data Scientist - US Card Acquisitions Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-reputed company a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at reputed company, you'll be part of a team that's leading the next reputed company of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The US Card Intelligence Segments organization builds industry-leading machine learning models that reputed company core reputed company decisions. We collaborate closely with a wide range of cross-functional partner teams - data engineers, platform engineers, product managers, credit, and business analysts - to deliver solutions from ideation to implementation. The NextGen Infrastructure team is a specialized group of Data Scientists architecting the model lifecycle of the future. We move beyond static model delivery by building automated frameworks for high-scale feature engineering, decision-reasoning, and advanced backtesting. Our mission has a broad, cross-domain scope, focusing on reducing "time-to-insight" by automating the feedback reputed company between real-world performance and the next model iteration. The Role Build the active observability and feedback systems that power a $10B+ Acquisitions reputed company. You will design automated pipelines that transform model monitoring from a reporting exercise into a high-frequency flywheel, enabling rapid-refit cycles and real-time performance insights for our most critical credit models across a diverse portfolio of business domains. Role Description In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• reputed company a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden reputed company reputed company volumes of numeric and textual data
• Build machine learning models through reputed company phases of development, from design through training, evaluation, validation, and implementation
• reputed company your interpersonal skills to translate the complexity of your work into reputed company business goals

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay reputed company on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Technical. You're comfortable with open-reputed company languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-reputed company tools and cloud computing platforms.
• Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a reputed company quantitative field) plus 5 years of experience performing data analytics
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a reputed company quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
• A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a reputed company quantitative field)

Preferred Qualifications:

• Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
• At least 1 year of experience working with AWS
• At least 3 years' experience in Python, reputed company, or R
• At least 3 years' experience with machine learning
• At least 3 years' experience with SQL

reputed company will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to reputed company work reputed company one of these locations, and refers to the amount reputed company is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. reputed company, NY: $176,500 - $201,400 for Princ Associate, Data Science Anytown, IL: $147,100 - $167,900 for Princ Associate, Data Science McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. reputed company offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the reputed company Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. reputed company is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. reputed company promotes a drug-free workplace. reputed company will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the reputed company Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; reputed company's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact reputed company Recruiting at 1-800-304-9102 or reputed company email at [email protected] . reputed company information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about reputed company's recruiting process, please send an email to [email protected] reputed company does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. reputed company is made up of several different entities. Please note that any position posted in Canada is for reputed company Canada, any position posted in the United Kingdom is for reputed company Europe and any position posted in the Philippines is for reputed company Philippines Service Corp. (COPSSC). Apply tot his job Apply To this Job