Data Scientist

As a Data Scientist at withco, your responsibilities will include leveraging various data sources to build analyses and models that empower small business owners in their real estate decisions. You will also be responsible for developing a recommendation engine, focusing on helping users find the right commercial spaces. Additionally, you will own the data analytics and reporting process, ensuring that all insights are ready to be productized effectively.

To thrive in the role of Data Scientist at withco, you should possess a strong data obsession, a solid understanding of data science tooling, and the ability to turn complex data sets into actionable insights. Technical brilliance is essential, as you will need to develop robust models that can inform small business strategies. Experience with analytics and the latest technologies in data science will help you succeed in this role.

The culture at withco is characterized by a deep commitment to accountability, clarity, and curiosity. As a Data Scientist, you will join a team of craftspeople, athletes, ex-founders, and PhDs who share a passion for supporting small businesses. Our environment fosters collaboration, innovation, and a shared mission to enhance the community. However, it is important to note that our culture is exclusive, aiming to build a uniquely energetic and diverse team.

Data Scientists at withco will enjoy a competitive compensation package that places them among the top decile for startups at this stage. Benefits include 100% company-paid medical, dental, and vision insurance, unlimited PTO, a comfortable office in SoHo, and eligibility for carried interest in our real estate ventures. We also offer paid parental leave, 401(k), FSA/HSA, and regular team events focused on supporting small businesses.

At withco, we integrate data insights into small business strategies through comprehensive analyses and robust recommendation engines. As a Data Scientist, you will harness both first and third-party data to create actionable insights, enabling entrepreneurs to make informed decisions about commercial real estate. This approach ensures that small business owners can effectively compete in a challenging market environment.

When answering this question, reflect on specific projects where you've successfully built models. Discuss the techniques you employed, the types of data you worked with, and the impact these models had on decision-making. Highlight your ability to translate data into actionable insights, which is crucial for the role at withco.

To answer this, talk about the resources you use, such as online courses, industry blogs, and networking within the data science community. Mention any recent technologies you've learned that could bring value to the Data Scientist role at withco, showcasing your commitment to continuous learning.

Share a specific example of a challenging data set, explaining the issues you encountered and the steps you took to resolve them. Highlight your analytical thinking and problem-solving skills, which are essential for the Data Scientist role at withco.

Discuss your ideas regarding best practices for data collection and analysis, such as automation techniques, ensuring data accuracy, and collaboration with other teams. Emphasize how your improvements could streamline workflows and enhance the insights delivered to small business owners.

When addressing this question, mention key performance metrics such as accuracy, precision, recall, and F1-score. Explain how these metrics help gauge a model's effectiveness, particularly in terms of supporting withco's mission to arm small businesses with data insights.

In your response, discuss specific data visualization tools you've worked with, such as Tableau or Power BI. Explain how effectively communicating data through visualization can aid small businesses in understanding insights and making important decisions — a key aspect of the Data Scientist role at withco.

Answer by outlining your processes for validating data integrity, such as cross-checking data sources, using audit trails, or employing data cleaning techniques. Stress the importance of accuracy in data analytics to maintain trust and reliability in the insights generated for small businesses.

Share strategies for addressing conflicts, such as open communication, focusing on data-driven decisions, and seeking consensus among team members. Show that you value collaboration and that you're prepared to contribute positively to the culture at withco.

Discuss your understanding of machine learning and its applications in data science, particularly in building predictive models or developing recommendation engines. Demonstrate how such tools could empower small businesses—an essential focus for the Data Scientist role at withco.

Convey your passion for small business empowerment and how withco’s mission aligns with your career aspirations. Make a connection between your skills, values, and the unique culture at withco, explaining why you believe you would make a positive impact in the position.