Data Science Intern

As a Data Science Intern at Faire, your responsibilities will include defining and executing cutting-edge machine learning algorithms, assisting with A/B testing, and clearly communicating project objectives and results both within your team and across the company. You will also tackle complex issues associated with managing a two-sided marketplace and contribute significantly to the overall success through your work.

To qualify for the Data Science Intern position at Faire, candidates should be currently enrolled in or recently graduated from a Master’s or PhD program in Computer Science, Operations Research, Statistics, Econometrics, or a related field. Hands-on experience with real datasets and familiarity with tools like Python, SQL, numpy, and pandas are essential, along with a solid understanding of various machine learning techniques.

Data Science Interns at Faire will engage in projects involving search optimization, personalization of recommendation systems, and development of predictive models for marketing spend optimization, among others. You’ll have the autonomy to take complete ownership of your projects from start to finish, integrating insights and solutions that directly impact the success of our marketplace.

The Data Science Intern position at Faire operates on a hybrid schedule, requiring employees to be in the office two days per week. However, interns have the flexibility to work remotely up to four weeks per year, allowing for a balanced work-life approach.

The Data Science Intern role at Faire lasts for 12 to 14 weeks and is a paid internship. The position offers flexible start dates, and there's potential for the internship duration to be extended based on performance and mutual agreement.

When answering this question, focus on a specific project where your data-driven decisions led to tangible outcomes. Explain the problem, your approach, the tools and methodologies you used, and highlight the results. This shows your ability to apply theoretical knowledge to real-world situations, a key aspect of the Data Science Intern role at Faire.

Discuss your strategies for continuous learning, such as following industry leaders on social media, joining professional groups, attending conferences, or engaging with platforms like GitHub. Highlight your passion for the data science field and your commitment to applying the latest techniques in your projects as a Data Science Intern at Faire.

Provide a list of programming languages such as Python, R, or SQL you're experienced with. Mention any specific libraries like pandas or sklearn, and discuss how you have used these tools in academic or professional projects. This emphasizes your readiness for the technical aspects of the Data Science Intern position at Faire.

Discuss your hands-on experience with machine learning, including specific algorithms you have implemented. Explain the context of the projects, the outcomes, and any challenges you faced. This demonstrates your practical knowledge which is crucial for the Data Science Intern role at Faire.

Explain your problem-solving methodology, perhaps starting with understanding the problem, followed by data exploration, hypothesis formation, modeling, and finally evaluation. Share an example to illustrate your approach, showcasing critical thinking and analytical skills needed for the Data Science Intern position at Faire.

Share an example where you distilled complex data insights into understandable terms for an audience without a technical background. Describe the outcome of your communication and how it influenced decision-making, highlighting your communication skills that are essential for collaborating within the Faire team.

Discuss any A/B testing experience you have, including the design of the test, the metrics you measured, and how you analyzed the results. If applicable, mention how your findings influenced project decisions, demonstrating your practical application of data science principles relevant to the Data Science Intern role at Faire.

Talk about your approach to identifying and addressing data quality issues, such as developing a data audit process, cleaning and preprocessing data, and validating results. Share a specific instance where you overcame data quality challenges, as this showcases your preparedness for real-world scenarios faced as a Data Science Intern at Faire.

Discuss the importance of statistical methods in your analytical process, such as using regression analysis, hypothesis testing, or Bayesian methods. Provide examples of how these techniques informed your decision-making in past projects, reinforcing your competency in the quantitative aspects required for the Data Science Intern position at Faire.

Express your enthusiasm for supporting local businesses through innovative data solutions, your belief in Faire's mission and values, and how this internship aligns with your career goals. Sharing your passion for entrepreneurship and community impact will resonate with Faire's mission-driven approach.