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Experienced Data Scientist

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.


Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.


You’ll be a data scientist as a part of the Data org, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!


We're guided by our principles including impact, growing together, embracing openness and positivity, and inventing tomorrow; we’re looking for leaders who are motivated by those same principles.


Responsibilities
  • Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
  • Conducting large-scale A/B experiments
  • Identifying useful signals that can be fed into machine learning models. 
  • Informing and influencing product and engineering teams through your data analysis and presentations
  • Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid 
  • Championing a data-first approach toward decision-making across the entire organization. 


Qualifications
  • 5+ years of industry experience in a product-focused Data Science role
  • Deep familiarity with SQL and data visualization tools
  • Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations
  • Familiarity with the AWS stack
  • Understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, and natural language processing
  • Proven ability to tailor your solutions to business problems in a cross-functional team
  • Ability to code and iterate independently in Python to conduct exploratory data analysis
  • Experience building data pipelines in DBT or Airflow is a plus
  • Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field


$155,520 - $232,200 a year
Target base salary for this role is between $155,520 and $232, 200 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!


Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.


Please review our Candidate Privacy Notice here.

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$232200K

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What You Should Know About Experienced Data Scientist, Plaid

If you're an Experienced Data Scientist looking to make a meaningful impact in the world of finance, Plaid in San Francisco might just be the perfect fit for you! At Plaid, we believe that the way people manage their finances is evolving, and we're committed to providing the tools that empower this transformation. Our network connects millions of users to the financial services they rely on daily, and we're seeking talented data scientists to join our innovative Data team. In this role, you'll apply your expertise in quantitative analysis, data mining, and visualization to derive valuable insights that improve our API products. You'll also conduct large-scale A/B experiments, providing influential data analysis that shapes our product and engineering decisions. With a diverse array of responsibilities, you'll champion a data-first mindset throughout the organization and help enhance our machine learning models. We value creativity, teamwork, and user empathy, so if you're excited to build cutting-edge Data and ML solutions that pave the way for financial freedom, let’s discuss your potential contributions to Plaid. Join us and be a part of a team that prioritizes impact, positivity, and innovation as we work towards making financial ecosystems more equitable for everyone!

Frequently Asked Questions (FAQs) for Experienced Data Scientist Role at Plaid
What are the responsibilities of an Experienced Data Scientist at Plaid?

As an Experienced Data Scientist at Plaid, you will be tasked with applying quantitative analysis, data mining, and visualization to uncover insights that can enhance our API products. Conducting large-scale A/B experiments will also be a significant part of your role, allowing you to analyze data and provide actionable recommendations. Your influence will extend across product and engineering teams through your presentations, and you will help shape the long-term data science roadmap.

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What qualifications are necessary for the Experienced Data Scientist position at Plaid?

Plaid requires candidates for the Experienced Data Scientist position to have a minimum of 5 years of industry experience in a product-focused Data Science role. You should be proficient in SQL and familiar with data visualization tools. Experience with conducting large-scale A/B experiments, an understanding of machine learning techniques, and proficiency in Python for data analysis are also essential, along with a degree in a relevant field such as Computer Science or Statistics.

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How does Plaid support the professional growth of its Experienced Data Scientists?

At Plaid, we prioritize growth and learning. As an Experienced Data Scientist, you'll have opportunities to work on high-impact projects that challenge you and foster your development. We encourage new ideas and creative solutions, and we provide a collaborative environment where you can continuously learn from your peers and contribute to the team’s knowledge base.

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What technologies should an Experienced Data Scientist be familiar with at Plaid?

Candidates applying for the Experienced Data Scientist role at Plaid should be familiar with SQL and various data visualization tools. Additionally, experience with the AWS stack, building data pipelines using DBT or Airflow, and an understanding of modern machine learning techniques, such as classification and deep neural networks, are significant advantages that will help you excel in this position.

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Is Plaid committed to diversity and inclusion for its team members?

Yes, Plaid is dedicated to building a diverse team and values inclusion across all levels of the organization. We believe that diverse backgrounds and experiences enrich our work environment and contribute to innovative solutions in the financial ecosystem. Our hiring practices reflect this commitment, ensuring that all qualified applicants are given equal consideration.

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Common Interview Questions for Experienced Data Scientist
Can you describe your experience with A/B testing as an Experienced Data Scientist?

Absolutely! In your response, highlight past projects where you successfully designed and implemented A/B tests. Explain the specific hypotheses you tested, the metrics you monitored, and the insights you derived from the results. Demonstrating how your A/B testing informed product decisions will showcase your practical experience.

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What machine learning models have you worked with in your Data Science career?

In your answer, detail the types of machine learning models you've built, such as classification or regression models. Be specific about the problems they addressed and the datasets used. Discuss any challenges you faced and how you achieved success, including the evaluation metrics that you employed to assess model performance.

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How do you prioritize data projects as an Experienced Data Scientist?

Discuss your method for assessing the potential impact and feasibility of data projects. Mention factors like alignment with business objectives, availability of data, and resource requirements. Providing an example of a project prioritization process you have undertaken will give context to your approach.

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How do you handle collaboration with cross-functional teams?

Emphasize the importance of effective communication and building relationships when collaborating with engineers and product managers. Share specific examples of how cross-department collaboration has led to successful project outcomes, focusing on your ability to translate complex data insights into actionable business strategies.

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Can you explain a challenging data analysis problem you've solved?

Here, illustrate a complex data analysis problem you faced, detailing the context, your approach to analyzing the data, and the solution you implemented. Highlight the skills you utilized and the positive impact of your analysis on the business objectives.

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What data visualization tools are you proficient in?

Mention the data visualization tools you have used, such as Tableau, Looker, or Power BI. Explain how you have leveraged these tools to communicate your findings to non-technical stakeholders effectively. Providing an example of a visualization you built to support a particular product decision would also be beneficial.

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How do you stay current on new data science technologies and methodologies?

Discuss your strategies for continuous learning, whether it’s through online courses, attending workshops, or participating in data science communities. Mention specific resources or platforms you find valuable, and provide an example of how something you learned has been applied to your work in the past.

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What role does user empathy play in your data analysis?

User empathy is crucial in Data Science. Describe how understanding user needs shapes your analysis and the outcomes of your projects. Use an example where considering user experience led to meaningful insights that impacted decisions and improved product engagement.

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Describe your experience with SQL and data manipulation.

Here, you should articulate your proficiency in SQL, mentioning specific use cases where you utilized it for data extraction, transformation, and analysis. Highlight a project where your SQL skills enabled you to derive insights that drove actionable business strategies.

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How do you approach building a long-term data science roadmap?

Talk about your strategy to assess organizational needs and define long-term goals for data projects. Emphasize collaborative efforts with stakeholders to prioritize initiatives that align with broader business objectives, and give an example of how you’ve contributed to forming such a roadmap in a previous role.

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Plaid’s mission is to unlock financial freedom for everyone.

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Full-time, on-site
DATE POSTED
January 5, 2025

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