Conversational Designer

March 29

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Logo of modal

modal

Modal is a conversational platform designed for hospitality brands, enabling efficient 1:1 communications between guests and staff. It integrates with various conversational channels such as Alexa and WhatsApp, enhancing customer experiences by allowing voice-activated services, real-time interaction, and insightful analytics. Modal aims to reshape customer service in the hospitality sector, making it more personalized and efficient through advanced conversation tools and AI-driven insights.

VUI โ€ข Voice User Interface โ€ข Voice Application โ€ข Voice Design โ€ข Alexa Skills

2 - 10 employees

Founded 2018

๐Ÿค B2B

๐Ÿ›๏ธ eCommerce

๐Ÿ“‹ Description

โ€ข Play a key part in defining the data culture within Modal. โ€ข Ensure principled, data-driven decision-making processes. โ€ข Work on numerous zero-to-one projects with a direct impact on product direction. โ€ข Collaborate with product and engineering teams on high-profile feature launches. โ€ข Perform and share complex analyses that inform a variety of decisions. โ€ข Play a hands-on role in product launches to understand impact on users and identify potential issues early. โ€ข Conduct foundational analysis on important, unsolved questions across various problem spaces. โ€ข Critical voice and significant influence over the direction of the company as an early team member.

๐ŸŽฏ Requirements

โ€ข Curious, inquisitive, and enjoy solving ambiguous, open-ended problems. โ€ข Able to identify high-impact problem areas with little direction. โ€ข Healthy skepticism about data and know when to dig deeper into a problem. โ€ข Technical skills to work independently. โ€ข Comfortable with advanced modeling and statistical techniques. โ€ข Highly fluent in SQL and Python. โ€ข Deep experience with experiment design and analysis. โ€ข Strong communicator and able to explain complex concepts to a wide audience. โ€ข Adept at crafting clear and impactful data visualizations. โ€ข Meticulous and forthright. โ€ข Experienced with finding clear answers despite messy data sets. โ€ข Able to catch data issues as they arise. โ€ข Ideally, experience as a data scientist at a fast-growing company with a proven record of impact.

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