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Data Scientist, Finance or Marketing

Figma is seeking an experienced Data Scientist for its Sales-Assisted Marketing or Finance teams. The role involves driving analytical projects and collaborating cross-functionally to guide decision making.

Skills

  • Fluency in SQL
  • Proficiency in Python or R
  • Experience with distributed data processing systems
  • Strong analytical skills and problem solving

Responsibilities

  • Collaborate cross-functionally to understand existing problems and identify areas of impact for your team
  • Understand user behavior within Figma by creating new datasets and metrics
  • Develop new techniques and datasets for rigorous analyses
  • Establish partnerships with cross-functional teams

Benefits

  • Health, dental & vision insurance
  • Retirement plan with company contribution
  • Generous PTO and recharge days
  • Learning & development stipend
  • Work from home stipend
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$251000 / YEARLY (est.)
min
max
$164000K
$338000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Finance or Marketing, Figma

Hey there! Are you a Data Scientist ready to make your mark? Figma is on the lookout for someone just like you to join our incredible teams in either Finance or Sales-Assisted Marketing. With offices in San Francisco and New York, or the option to work remotely across the US, we are dedicated to making design accessible for everyone. As a Data Scientist at Figma, you will dive into data to drive insights that accelerate our growth. You'll partner with the Marketing team to optimize our strategies, analyzing user behavior and developing models that fuel our campaigns. Alternatively, if Finance is more your style, you’ll tackle our most pressing business challenges while handling vital financial analyses that influence company strategy. Whichever path appeals to you, you’ll collaborate with various teams such as Engineering, Product, and Research, so great communication skills are a must. At Figma, we value curiosity and creativity, believing passionately in learning as you go. So whether you've got extensive experience or you're just excited to jump into this role, we want to hear from you! Join us in hosting the future of design tools—apply today and let’s create something awesome together!

Frequently Asked Questions (FAQs) for Data Scientist, Finance or Marketing Role at Figma
What responsibilities does a Data Scientist have at Figma?

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.

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What qualifications are required for the Data Scientist role at Figma?

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.

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What is the work environment like for a Data Scientist at Figma?

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.

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Is remote work an option for the Data Scientist role at Figma?

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.

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What benefits does Figma offer to its Data Scientists?

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.

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Common Interview Questions for Data Scientist, Finance or Marketing
Can you describe your experience with SQL and how you’ve applied it in past projects?

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.

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What data visualization tools do you prefer and why?

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.

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How do you ensure the accuracy of your data analysis?

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.

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Can you provide an example of a time you uncovered a key insight from data analysis?

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.

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What methods do you use to prioritize projects and tasks as a Data Scientist?

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.

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How do you handle ambiguity in data projects?

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.

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What steps do you take when you encounter conflicting data from different sources?

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.

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How do you communicate complex data findings to non-technical stakeholders?

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.

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What experience do you have working with distributed data processing systems?

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.

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Why do you want to work as a Data Scientist at Figma?

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.

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Born on the web, Figma is a collaborative online platform designed for teams to create, share, test, and deliver superior designs from start to finish.

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BADGES
Badge ChangemakerBadge InnovatorBadge Rapid Growth
CULTURE VALUES
Empathetic
Collaboration over Competition
Growth & Learning
Passion for Exploration
Fast-Paced
Startup Mindset
Diversity of Opinions
Rise from Within
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$164,000/yr - $338,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 9, 2025

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