Sr. Staff Data Scientist, Machine Learning

Varo Bank; Atlanta (GA); On-site; USD 210,000 - 280,000; Full time

Benefits offered by this job

Bonus opportunities

Equity options

Competitive benefits

Job summary

A digital banking firm in Atlanta seeks an experienced data analytics professional. You will develop custom models and algorithms, analyze large datasets, and collaborate with stakeholders to drive business decisions. The ideal candidate has over seven years of experience in data science or engineering, a quantitative advanced degree, and strong skills in Python and statistical techniques. This role offers a competitive salary range of $210,000 - $280,000, along with bonuses and benefits.

Qualifications

• 7+ years in Analytics, Data Science, or Data Engineering.
• Strong problem-solving skills with model development strategy.
• Experience in consumer finance credit/frug modeling is a plus.

Responsibilities

• Develop custom models and algorithms for large datasets.
• Mine and analyze data for predictive modeling.
• Collaborate with stakeholders to leverage data.

Skills

Analytics

Data Science

Data Engineering

Problem Solving

Python

Statistical techniques

Cross-functional communication

Fast-paced adaptability

Education

Advanced degree in a quantitative field

Tools

AWS

GCP

Spark

Hadoop

Job description

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.

Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!

What you’ll be doing

• Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance
• Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Understand and apply proper risk framework to your analysis and modeling
• Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions
• Collaborate cross functionally to implement models and monitor outcomes

You’ll bring the following required skills and experiences

• 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor
• An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc
• Credit and / or Fraud Risk modeling experience in consumer finance is nice to have
• Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions
• Experienced in using Python for analysis and modeling
• Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks
• Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
• Excellent cross-functional communication skills
• Ability to thrive in a fast-paced environment

We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you!

About Varo

Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer.

As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system.

Learn more about Varo by following us:

Facebook - https://www.facebook.com/varomoney

Instagram - www.instagram.com/varobank

LinkedIn - https://www.linkedin.com/company/varobank

Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [e-mail] with the pertinent information and contact information.

CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $210,000 - $280,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits.