Data Scientist

Otter AI
Mountain View, CA$155k – $185kPosted 24 February 2026

Job Description

<div> <div> </div> </div> <p><span style="font-size: 10pt;"><strong><span style="font-family: arial, sans-serif;">The Opportunity</span></strong></span></p> <div> <p><span style="font-size: 10pt;"><span style="font-family: arial, sans-serif;">As a Data Scientist at Otter.ai, you will be a key player within our Product Development organization. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success.<br>If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of making conversations more valuable.<br><br></span><strong><span style="font-family: arial, sans-serif;">Your Impact</span></strong></span></p> <ul> <li style="font-size: 10pt;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 10pt;">Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations.</span></li> <li style="font-size: 10pt;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 10pt;">Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors.</span></li> <li style="font-size: 10pt;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 10pt;">Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies.</span></li> <li style="font-size: 10pt;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 10pt;">Design and Execute experiments to test hypotheses and measure the effectiveness of various features, product experiences and strategies.</span></li> <li style="font-size: 10pt;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 10pt;">Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation.</span></li> <li style="font-size: 10pt;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 10pt;">Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company’s Product roadmaps.</span></li> <li style="font-size: 10pt;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 10pt;">Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes.</span></li> <li style="font-size: 10pt;" data-stringify-indent="0" data-stringify-border="0"><span style="font-size: 10pt;">Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness.</span></li> </ul> <div><span style="color: rgb(13, 13, 13); font-family: arial, sans-serif; font-size: 10pt;"><strong>We're Looking for Someone Who</strong></span></div> <div> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">3+ years as a Data Scientist, in a software technology or AI-driven company.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong background in data analysis, statistical modeling, and other data science techniques.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with B2B SaaS business models.</span></li> <li style="font-size: 10pt;" ... (truncated, view full listing at source)