Data Scientist, Product

Otter.ai • Seattle, WA

2d • Hybrid

About The Position

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. 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.

Requirements

• 3+ years as a Data Scientist in a software technology or AI-driven company.
• 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.
• Familiarity with B2B SaaS 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 solver and ability to thrive in a fast-paced, dynamic start-up environment.

Responsibilities

• Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations.
• Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors.
• 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 features, product experiences and 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 roadmaps.
• 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.

Benefits

• Equal opportunity employer
• Celebrates diversity
• Inclusive and accessible workplace
• Reasonable accommodations for qualified applicants throughout the hiring process

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed