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Data Scientist

Otter.ai

$155,000 - $210,000
Oct 16, 2025
Mountain View, CA, US
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Otter.ai is looking to leverage advanced data analytics to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption, ultimately enhancing customer experiences and contributing to business success.

Requirements

  • Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization.
  • Strong background in data analysis, statistical modeling, and other data science techniques.

Responsibilities

  • Develop and Implement predictive models, analytical tools, and methodologies to analyze product usage, sales trends, customer behaviors, and market dynamics.
  • Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies.
  • Design and Execute experiments to test hypotheses and measure the effectiveness of various product experiences, sales tactics, marketing campaigns, and business strategies.
  • 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.
  • Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company’s Product and Go-to-Market strategies.
  • Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes.
  • Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness.

Other

  • Collaborate with Product and Go-to-Market teams to understand business objectives and challenges, translating them into data-driven insights and recommendations.
  • Familiarity with B2B go-to-market business models.
  • Excellent ability to translate complex findings into actionable insights for non-technical stakeholders.
  • Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment.