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Sr. Data Scientist, Machine Learning (Fraud)

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.



About the Data Science Team

Varo’s Data Science Team develops Machine Learning models that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app experience with real-time recommendations. Unlike some organizations where data takes a support role, here at Varo data science is front and center. Since we are in hyper-growth mode, you will get to work on the most impactful data science problems from day one. We rely on advanced techniques in machine learning, cloud platforms, and data technology. We’re a team of PhDs and ex-academics with a collegial work atmosphere. 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!


About the Role

Varo represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. At Varo, we believe the future of fraud detection in fintech lies with Machine Learning. We are innovating models that dynamically calculate fraud risk scores and predict customer transaction behavior. You’ll lead Machine Learning in Fraud at Varo, working on models that protect customers from fraudsters while growing Varo’s customer base and enabling product features to be more accessible to all. You will be responsible for developing the machine learning models that will underlie Varo’s fraud detection system. You will own the development and training of these models, as well as contribute to the design of architecture that serves the models.


What you'll be doing
  • Lead efforts within the organization to drive the design, development, optimization, and productionization of ML-based fraud models
  • Enable customers to have broader access to risky product features by designing a fraud system that balances precision of detection with customer experience and growth
  • Work with stakeholders in the fraud organization to identify opportunities for driving business value with ML
  • Collaborate cross-functionally with the engineering team to deploy models and monitor outcomes
  • Guide and mentor junior machine learning scientists and engineers


You’ll bring the following required skills and experiences
  • 4+ years of expertise in developing ML industry applications for fraud or risk applications
  • Demonstrated experience and/or interest in building fraud detection machine learning models
  • Ph.D. or equivalent in Computer Science, Statistics, or related field
  • Strong bias for action and team player
  • Ability to thrive in a fast-paced environment
  • Preferred: Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch


$160,000 - $180,000 a year
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 $160,000 - $180,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. 

#MidSenior


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.


We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country.


Varo. A bank for all of us.


Our Core Values

- Customers First

- Take Ownership

- Respect

- Stay Curious

- Make it Better


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

Twitter - https://twitter.com/varobank

Engineering Blog - https://medium.com/engineering-varo

SoundCloud - https://soundcloud.com/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 careers@varomoney.com with the pertinent information and contact information.


CCPA Notice at Collection for California Employees and Applicants:

https://varomoney.box.com/s/q7eockvma9nd2b0utwryruh4ze6gf8eg

Varo Bank Glassdoor Company Review
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CEO of Varo Bank
Varo Bank CEO photo
Colin Walsh
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What You Should Know About Sr. Data Scientist, Machine Learning (Fraud), Varo Bank

As a Senior Data Scientist specializing in Machine Learning at Varo, you'll find yourself at the forefront of innovation in the fintech space. Varo is not just any bank; it's a digital pioneer dedicated to ensuring all customers have access to essential banking services. The Data Science Team at Varo plays a vital role by creating cutting-edge Machine Learning models that revolutionize fraud detection and enhance user experiences. Here, data isn't just a support function—it's central to our mission. You'll dive into complex data challenges and uncover insights that directly impact our product offerings. If you’re eager to lead the charge in developing ML models aimed at mitigating fraud and facilitating easier access to Varo's features, this is the role for you! You’ll work collaboratively with PhDs and seasoned experts who are just as passionate about data as you are. With a robust environment for learning and mentoring, you'll be able to grow while contributing to the company's success. By marrying data science and customer ease, you'll help Varo fulfill its mission of financial empowerment for all our users. We’re excited about the blend of strategic thinking and technical skills you'll bring to identify and improve ML opportunities. If you thrive in fast-paced, innovative settings and are passionate about resolving real-world challenges in fraud risk application, we want to hear from you. Join Varo, where your work will directly empower millions of Americans every day.

Frequently Asked Questions (FAQs) for Sr. Data Scientist, Machine Learning (Fraud) Role at Varo Bank
What qualifications do I need to apply for the Sr. Data Scientist position at Varo?

To apply for the Sr. Data Scientist role specializing in Machine Learning at Varo, you should have a Ph.D. or equivalent experience in Computer Science, Statistics, or a related field. Additionally, 4+ years of expertise in developing machine learning models for fraud detection or risk applications is essential.

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What is the company culture like at Varo for a Sr. Data Scientist?

Varo fosters a collegial and collaborative work atmosphere for its Sr. Data Scientists. The culture promotes innovation and teamwork, featuring a diverse team of PhDs and experts who engage in problem-solving and knowledge sharing.

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What kind of projects will I be working on as a Sr. Data Scientist at Varo?

As a Sr. Data Scientist focused on Machine Learning at Varo, you'll work on impactful projects that involve developing models to detect fraud, enhancing real-time customer experiences, and enabling broader access to product features through advanced ML techniques.

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What skills are preferred for the Sr. Data Scientist position at Varo?

While the primary requirement is expertise in ML for fraud applications, familiarity with tools like Sagemaker, Spark, TensorFlow, Keras, and PyTorch is preferred. These skills will enhance your ability to contribute effectively from day one.

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How does Varo support the professional development of Sr. Data Scientists?

Varo is committed to the ongoing professional development of its Sr. Data Scientists. You will have opportunities to mentor junior data scientists, engage in collaborative projects, and access resources for learning advanced techniques within the rapidly evolving field of fintech.

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What is the salary range for the Sr. Data Scientist position at Varo?

The salary range for the Sr. Data Scientist, Machine Learning role at Varo is between $160,000 and $180,000 per year. The final offer may vary based on individual qualifications and relevant experience.

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How does Varo ensure diversity and inclusion in hiring for the Sr. Data Scientist role?

Varo is dedicated to building diverse teams and embraces a variety of backgrounds, perspectives, and skills. All candidates, including those applying for the Sr. Data Scientist position, are evaluated based on their qualifications without regard to race, gender, or other protected characteristics.

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Common Interview Questions for Sr. Data Scientist, Machine Learning (Fraud)
Can you explain your experience with machine learning applications in fraud detection?

In answering this question, provide specific examples of machine learning projects you've worked on, detailing your role and the results achieved. Highlight how these projects enhanced fraud detection mechanisms in previous positions.

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Describe a challenging data science problem you've solved and the approach you took.

Use the STAR method to discuss a past challenge effectively. Describe the Situation, the Task you needed to accomplish, the Actions you took, and the Results of your efforts, emphasizing your data analysis and modeling skills.

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How do you ensure the quality and reliability of your machine learning models?

Discuss the steps you take to validate your models, including data preprocessing, cross-validation techniques, and performance metrics. This shows your commitment to producing reliable solutions in your role as a Sr. Data Scientist.

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What has been your experience working cross-functionally with other teams?

Share specific instances where you've collaborated with engineering, product, or other teams. Highlight how this collaboration led to successful project outcomes and improved business processes.

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How do you stay updated on the latest developments in data science and machine learning?

Discuss specific methods you use to stay informed, such as online courses, attending conferences, reading research papers, or participating in data science communities. This demonstrates your dedication to continuous learning in the field.

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Can you explain a machine learning algorithm that you're particularly fond of?

Pick an algorithm, such as random forests or deep learning networks, and explain its workings, strengths, and potential applications. Make sure to relate it back to how you could use it in the role at Varo.

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What is your approach to mentoring junior data scientists?

Detail your mentorship philosophy and provide examples of how you've successfully guided junior colleagues in their career development. Show that you value nurturing new talent, which aligns with Varo's team culture.

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How do you balance customer experience and fraud detection accuracy?

Discuss your understanding of the trade-offs between fraud detection and user experience. Sharing specific strategies you've employed to achieve an optimal balance will illustrate your thoughtful approach to model development.

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What do you see as the future of machine learning in fintech?

Share your insights into trends and advancements you anticipate in machine learning's role in fintech, especially in fraud detection. This shows your forward-thinking mindset and how you plan to contribute to Varo's mission.

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Describe a time when a model you built failed. What did you learn from it?

Be honest about your experiences with failure, focusing on what it taught you about modeling best practices and how to iterate and improve for future projects, showcasing your resilience and adaptability.

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