Data Scientist, Finance or Marketing

As a Data Scientist at Figma, you will play a key role in analyzing data to optimize marketing efforts or solve financial challenges. You will be responsible for developing models that drive marketing strategies, uncovering insights for decision-making, and collaborating with cross-functional teams like Engineering and Sales. You'll also design frameworks and create new datasets to improve the rigor of analyses across the company.

To be considered for the Data Scientist position at Figma, you should have at least 4 years of relevant experience in Analytics or Data Science. Familiarity with financial data is a plus, along with strong skills in SQL and proficiency in Python or R. You'll need a firm grasp of statistical methods and excellent communication skills that will help you articulate complex findings and collaborate effectively with non-technical teams.

At Figma, the work environment is dynamic and inclusive, encouraging you to grow as you go. You'll find yourself in a collaborative space where creativity and learning intersect. Whether you're in the office or working remotely, you will engage with passionate peers who are equally excited about revolutionizing the design tools industry, ensuring everyone is aligned and on the same page.

Absolutely! The Data Scientist role at Figma can be based in one of our US hubs or conducted remotely from anywhere in the United States. We believe in flexibility and fostering a work-life balance while empowering our team to thrive, regardless of location.

Figma provides a competitive benefits package, including equity options and comprehensive health, dental, and vision insurance. Other perks include retirement plans, generous PTO, parental leave, mental health support, a learning and development stipend, work-from-home stipends, and much more! Figma is dedicated to supporting its employees in every aspect of their work journey.

When answering this question, emphasize your hands-on experience with SQL, such as writing complex queries, conducting data analysis, or creating reports. Explain specific projects where you've utilized SQL to drive business decisions, demonstrating your analytical skills and ability to handle large datasets.

In responding, mention popular tools like Tableau, Looker, or Power BI. Discuss how you use these tools to present data insights effectively and why choosing the right visualization has been critical in your previous roles for supporting decision-making processes.

Clarify your stringent approach towards validation in data processes, including cross-checking data sources, utilizing statistical methods for quality control, and performing thorough peer reviews of your analysis before sharing results with stakeholders.

Prepare a specific instance where your analysis led to critical business insights. Describe the problem, your analytical methods, the insights gained, and how they influenced strategy or decision-making in your organization.

Discuss your approach to task prioritization, potentially using frameworks like RICE or MoSCoW to assess impact versus effort. Highlight how you collaborate with stakeholders to gauge urgency, ensuring alignment with strategic business objectives.

Speak about your problem-solving mindset when faced with uncertainty. Emphasize adaptive approaches such as breaking down complex problems, seeking input from cross-functional teams, and iterating through exploratory data analysis until clarity is reached.

Detail a systematic approach for resolving data discrepancies, which might include verifying source credibility, running complementary analyses, and communicating findings back to stakeholders for collaborative resolution.

Here, demonstrate your ability to simplify complex insights using visuals, analogies, or metrics that resonate with business objectives. Explain your experience tailoring presentations according to your audience's level of technical understanding.

Talk about your familiarity with tools like Hive, Redshift, or Snowflake. Highlight instances where these technologies helped you efficiently manage and analyze large datasets, enhancing input into strategic decisions.

Express your admiration for Figma's mission to revolutionize design tools and your enthusiasm for using data to drive decisions in a creative, collaborative environment. Connect your values and career goals with Figma’s culture and work ethos, showing a deep-rooted interest in its team.