Empowering teams to build applications effortlessly
Airtable is a low-code application development platform that enables teams to create and collaborate on spreadsheets and relational databases without needing to write SQL code. Founded in 2012 and headquartered in Yerba Buena, San Francisco, Airtable has achieved an impressive $11 billion valuation ...
Airtable offers comprehensive medical, dental, and vision insurance fully covered for employees and 80% for dependents. Employees enjoy flexible time ...
Airtable fosters a unique culture by empowering users to build applications easily with its intuitive interface, making it accessible for non-technica...
Airtable • San Francisco, CA; New York City, NY; Austin, TX
Airtable is seeking a Data Scientist for their GTM Analytics team to drive insights and support customer engagement strategies. You'll work with Python, SQL, and machine learning models to enhance business processes. This role requires experience in data analysis and MLOps.
You have a strong background in data science, with experience in building and deploying machine learning models that drive business insights. Your proficiency in Python and SQL allows you to manipulate and analyze large datasets effectively, enabling you to extract actionable insights that support strategic decision-making. You understand MLOps best practices and can build scalable data pipelines that ensure the reliability and efficiency of data products. You are comfortable collaborating with business stakeholders, translating complex data findings into clear recommendations that enhance customer engagement and operational efficiency.
Experience with data visualization tools and frameworks is a plus, as it allows you to present your findings in a compelling manner. Familiarity with no-code platforms like Airtable can also be beneficial, as it aligns with the company's mission to empower users through accessible technology. You are a proactive problem solver who enjoys tackling challenges and finding innovative solutions that contribute to the company's growth.
In this role, you will champion AI-driven data products that provide actionable insights to the Customer Engagement (CE) teams, including sales and revenue operations. You will design and implement machine learning models that enhance the efficiency of key business processes, such as territory carving and customer segmentation. Your work will involve building scalable data pipelines and automated workflows, ensuring that data products are not only high-quality but also customer-centric. You will collaborate closely with business stakeholders to understand their needs and provide strategic insights that drive Airtable's go-to-market execution. Your contributions will be instrumental in shaping the company's data strategy and supporting its growth objectives.
Airtable offers a dynamic work environment where you can make a significant impact on the company's success. You will have the opportunity to work with a talented team of data professionals and business leaders, contributing to projects that transform how organizations operate. The company values innovation and encourages you to apply even if your experience doesn't match every requirement. You will have access to resources and support that enable you to grow your skills and advance your career in data science.
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