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Data Scientist, Product Analytics Job Opening In Austin – Now Hiring Airtable


Job description

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes.

More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team.

In this high-impact role, you’ll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable’s self-serve business.

You’ll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making.

This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization.
What you'll do

+ Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime

+ Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas

+ Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions

+ Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports

+ Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance

+ Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities

+ Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge

+ Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements

+ Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities

+ Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions

+ Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics

Who you are

+ Bachelor’s degree in computer science, data science, mathematics/statistics, or related field

+ 6+ years of experience as a data scientist, data analyst, or data engineer

+ Experience supporting product development teams and driving product growth insight

+ Background in SaaS, consumer tech, or data-driven product environments preferred

+ Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices

+ Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)

+ Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)

+ Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)

+ Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture

+ Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights

+ Provides thought leadership on user funnels, retention, and growth analytics

+ Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows

+ Experience at an AI-native company, with exposure to building or scaling products powered by AI

+ Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design

+ Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness

+ Models curiosity, creativity, and a learner’s mindset; thrives in ambiguity and inspires others to do the same

+ Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making




Airtable is an equal opportunity employer.

We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive.

We welcome people of different backgrounds, experiences, abilities, and perspectives.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances.

Learn more about your EEO rights as an applicant (https://drive.google.com/file/d/1jAj2by1bto5g8Xqn9hWNAwPOMGNd_fM6/view?usp=sharing) .



VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form (https://airtable.com/shrq13fCV8h1sx2t8) and let us know how we may assist you.

Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.





Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.

Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation.

To learn more about our comprehensive benefit offerings, please check out Life at Airtable (https://airtable.com/careers/life-at-airtable) .



For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:

$205,200 — $266,300 USD


For all other work locations (including remote), the base salary range for this role is:

$185,300 — $240,000 USD


Please see our Privacy Notice for details regarding Airtable’s collection and use of personal information relating to the application and recruitment process by clicking here (https://www.airtable.com/company/personnel-privacy-notice) .

🔒 Stay Safe from Job Scams
All official Airtable communication will come from an @airtable.com email address.

We will never ask you to share sensitive information or purchase equipment during the hiring process.

If in doubt, contact us at hr@airtable.com.

Learn more about avoiding job scams here (https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first) .


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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Airtable adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Scientist, Product Analytics typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist, Product Analytics Job Success

Airtable interview tips for Data Scientist, Product Analytics

Here are some tips to help you prepare for and ace your Data Scientist, Product Analytics job interview:

Before the Interview:

Research: Learn about the Airtable's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist, Product Analytics interview at Airtable, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Airtable's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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