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Senior Data Scientist

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability.

Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal 2018). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.

Overview

Come join our AI/ML and Data Science team at Credit Genie! We are seeking a technical Data Science leader with a solid background in Statistics and Machine Learning who is excited about solving hard Data Science problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company’s next generation of Risk and Underwriting models. These models are central to our business and have a direct impact on our customers every day. You will also design, execute, and evaluate new data acquisition processes as well as A/B tests and other experiments.

What You'll Do

  • Set the company’s Data Science roadmap in collaboration with our leadership.

  • Work in collaboration with a growing team of Data Scientists on the design and implementation of new Risk and Underwriting models.

  • Generate actionable insights and models for other functional areas such as Marketing, Finance, Operations, and Customer Service.

  • Collaborate with Product, Analytics, and Engineering leads.

  • Set and maintain the highest methodological standards for Data Science across the company.

  • Solve problems that have no clear existing solution and directly impact our customers.

Requirements 

  • A PhD in a relevant field (e.g., Mathematics, Statistics, …) and 4+ years of experience in a similar role OR Master degree in a relevant field and 8+ years of experience in a similar role.

  • Advanced knowledge of Statistics (principles, methods, models, …).

  • Proficient in SQL and Python (together with relevant libraries for Data Analysis, Statistical Modeling, Data Science, and Machine Learning).

Nice to Have 

  • Experience with Snowflake.

Benefits and Perks

Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness.

We believe working alongside each other is the best way to build a great product and company culture. While the expectation is to spend most of our time in office, we want to allow flexibility to employees when needed. Our goal is to provide an office environment for everyone that is inclusive and fosters collaboration while allowing for deep focus and productivity. We understand that life happens and there are circumstances that require flexibility. We want to support everyone in those moments and allow employees to operate outside of the office when needed. We are committed to ensuring that everyone is able to balance both their personal and professional responsibilities.

Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees.

  • 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. 

  • 401(k) with a 2.5% match and immediate vesting 

  • Meal program for breakfast, lunch, and dinner

  • Monthly fitness reimbursement up to $100

  • Life and accidental insurance

  • Flexible PTO

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks.

Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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What You Should Know About Senior Data Scientist, Credit Genie

At Credit Genie, we are on a mission to revolutionize financial wellness and are actively searching for a Senior Data Scientist to join our innovative AI/ML and Data Science team in New York. If you have a knack for unraveling complex problems and a passion for data-driven insights, you’ll feel right at home here. As a Senior Data Scientist, you will lead the charge in developing our Risk and Underwriting models that play a pivotal role in our business operations. You will collaborate closely with a dynamic team of experts, blending your statistical knowledge with cutting-edge machine learning techniques to create actionable insights that enhance our services across various departments. Your role will involve setting our Data Science roadmap, designing experiments, and spearheading new data acquisition processes that directly impact our customers’ journey. You’ll be part of a culture that values methodological rigor and inclusivity, where innovation drives everything we do. With your PhD or Master’s degree and years of experience, you're not just filling a position; you're carving the future of inclusive finance alongside pioneers who’ve shaped leading fintech companies. If this sounds like the right fit for you, come join us at Credit Genie and help us empower individuals to take control of their financial futures!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Credit Genie
What are the main responsibilities of a Senior Data Scientist at Credit Genie?

As a Senior Data Scientist at Credit Genie, your key responsibilities will include leading the development of Risk and Underwriting models that directly influence our customers’ experiences. You’ll work in close collaboration with other Data Scientists to implement actionable insights across various business functions, set the company’s Data Science roadmap, and ensure methodological standards are upheld throughout our operations.

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What qualifications are required for the Senior Data Scientist position at Credit Genie?

To be considered for the Senior Data Scientist role at Credit Genie, candidates should have a PhD in a relevant field with a minimum of 4 years of experience in a similar position, or a Master’s degree combined with at least 8 years of experience. Proficiency in SQL and Python, along with advanced knowledge of statistical methods and models, is essential for success in this role.

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What tools and technologies should a Senior Data Scientist at Credit Genie be familiar with?

A Senior Data Scientist at Credit Genie should have experience with SQL and Python, specifically utilizing relevant libraries for data analysis and machine learning. Familiarity with Snowflake for data management can be a plus. You will also work on designing A/B tests and new data acquisition processes, so having hands-on expertise in these areas is highly beneficial.

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How does Credit Genie support the professional development of its Senior Data Scientists?

At Credit Genie, we believe in empowering our employees, including our Senior Data Scientists, by fostering a collaborative environment that encourages continuous learning and professional growth. You will have opportunities to lead projects, collaborate with industry experts, and contribute to cutting-edge solutions, all of which adds to your career development and expertise.

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What benefits does Credit Genie offer to Senior Data Scientist employees?

Credit Genie offers an extensive range of benefits to our Senior Data Scientists, including comprehensive healthcare coverage, a competitive 401(k) plan with matching, flexible PTO, monthly fitness reimbursements, and a meal program. We are dedicated to promoting financial, mental, and physical wellness among all our employees.

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Common Interview Questions for Senior Data Scientist
Can you explain your experience with machine learning methods and how they apply to Risk and Underwriting models?

In your response, showcase specific machine learning techniques you've employed in previous projects focused on Risk and Underwriting. Discuss the unique challenges you faced and how your solutions impacted the data analysis or decision-making processes in those scenarios.

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What statistical methods do you prioritize when designing experiments, and why?

Highlight your preferred statistical methods, such as A/B testing or regression analysis, and explain how these methods help you derive significant insights from experiments. Illustrate with examples where applicable to demonstrate your expertise.

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How do you ensure the integrity and quality of the data you work with?

Discuss the steps you take to validate and verify data, including data cleaning and preprocessing techniques. Emphasize your commitment to maintaining high data quality standards that align with Credit Genie's methodological rigor.

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Describe a challenging data science problem you have encountered and how you solved it.

Narrate the context and challenges of a specific situation, detailing the analytical framework you applied to tackle the problem. Highlight the outcomes and what you learned from the experience that could benefit Credit Genie.

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How do you stay updated with the latest trends and advancements in data science?

Mention specific resources like industry publications, online courses, webinars, and conferences you follow. Demonstrating your commitment to continuous learning shows your passion for the field and how you can bring valuable insights to Credit Genie.

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Can you provide an example of a time you collaborated with non-technical teams?

Share a specific instance where you worked with departments such as Marketing or Customer Service. Explain how you translated data insights into actionable strategies that guided business decisions, showcasing your communication and collaboration skills.

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What would you include in a Data Science roadmap for Credit Genie?

Outline key elements you believe should be part of the Data Science roadmap, such as new modeling techniques, areas for experimentation, and goals for collaboration with other departments. Align your suggestions with Credit Genie’s mission and goals.

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How do you balance competing priorities when working on multiple projects?

Provide insights into your prioritization techniques and time management strategies. Describe how you keep stakeholders informed and engaged while effectively delivering high-quality results—important traits for a Senior Data Scientist at Credit Genie.

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What do you believe sets apart a good Senior Data Scientist from an exceptional one?

Articulate the qualities that distinguish the two, such as creativity in problem-solving, leadership in fostering team collaboration, and a proactive approach to seeking impactful business solutions that a Senior Data Scientist at Credit Genie would exemplify.

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Why do you want to work at Credit Genie as a Senior Data Scientist?

This is your opportunity to express your enthusiasm for Credit Genie’s mission in financial wellness and how your skills align with the company’s goals. Share your vision of contributing to impactful projects and why the company culture resonates with you.

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Our Company:Credit Genie takes a non-traditional approach to debt relief - we perform a holistic review of a consumer&s;s financial situation to calculate the appropriate debt reduction. Lenders have more confidence in Credit Genie&s;s evidence-ba...

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Full-time, hybrid
DATE POSTED
March 20, 2025

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