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Job Information

American Express Director - Data Science in Columbia, South Carolina

Description

Kabbage, an American Express Company, is setting a new standard in big data and FinTech and we are looking for a Full Stack Data Scientist to help us in our mission to help small businesses by mighty.

Acquired by American Express in 2020, Kabbage is a leading FinTech company changing the way small businesses manage their cash flow. Applying automation and real-time data, Kabbage provides small businesses a suite of integrated cash-flow technologies from flexible lines of credit, digital business checking accounts, fast payments and predictive business analytics. Now with the powerful backing of American Express, Kabbage can offer millions of small businesses the opportunity to access digital tools to help them grow bigger, lasting companies. While we've received numerous awards and recognition—such as Entrepreneur's Top Company Cultures, Inc Magazine's Top Private Companies, GlassDoor’s Best Places to Work, and Forbes FinTech 50—it is our people, our culture, and our leaders that make Kabbage such a great place to work.

At Kabbage, we strive to be the place where a diverse mix of talented people want to come, to stay, and do their best work. Our commitment to diversity and inclusion is reflected in our people, our partners, and our customers. We are fully focused on equality and believe deeply in diversity of race, gender, sexual orientation, religion, ethnicity, national origin and all the other wonderful characteristics that make us different.

Your mission:

To help with the incredible task of building data pipelines, implementing modeling workflows, and helping Kabbage investigate new sources of data. You like to dig in to understand all the nuances of data you are working with, and you know how to extract information from large, complex data sets.

What you'll be doing:

  • Support Data Science modeling and analysis projects by managing the data pipelines and machine learning workflows from start to finish

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Analyze, understand and contextualize datasets from a variety of sources

  • Evaluate new data sources for acquisition and integration

  • Turn raw data into features to be used in machine learning models

  • Build machine learning models and research new modeling and data analysis techniques

  • Work cross-functionally with technical leaders across the business to become the guru on understanding how our data is being collected and used throughout the business

“Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions

Qualifications

What we're looking for in you:

  • Initiative: Actively finds ways to make improvements at work.

  • Flexibility/Adaptability: Adjusts quickly to changing priorities and conditions; copes effectively with complexity and change.

  • Collaboration & Influence: ability to successfully influence and bring together internal and external stakeholders to achieve shared goals.

  • Communication: Able to see and communicate the big picture in an inspiring way; determines opportunities and threats through comprehensive analysis of current and future trends.

  • Creativity/Innovation: Generates new and innovative approaches to problems; open to new ways of doing things. Balance brand consistency with ability to push our creative direction to keep it fresh.

What you should have:

  • Strong ability in at least one programming language, preferably Python

  • Experience processing large amounts of structured and unstructured data

  • A successful history of manipulating, processing and extracting value from large, disconnected datasets

  • Experience with big data tools: Hadoop, Spark, Hive, etc.

  • Experience with relational SQL and NoSQL databases, including Postgres

  • Experience with AWS cloud services

  • Experience with CI/CD practices and frameworks

  • Experience in machine learning, natural language processing and other modeling techniques

  • Strong knowledge of statistics

The Kabbage Advantage

At Kabbage, we think our people are awesome, so we created the Kabbage Advantage—our way of being awesome right back. We offer competitive benefits including generous PTO and exceptional health coverage options, including 6-months parental leave. Our colleagues enjoy a dynamic work environment professional development courses and wellness programs.

While our perks and benefits are generous, the people are actually what make Kabbage great. Kabbagers are curious, creative, and resilient. We are proactive, productive, and problem solvers. And we don’t do it alone. At Kabbage, you will find humble individuals who work hard to communicate effectively and work collaboratively.

“Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.”

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

“American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.”

Job: Marketing

Primary Location: United States

Schedule Full-time

Req ID: 21025521

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