Otter. ai
software technology
DataScientist,Product
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist, Product at Otter. ai. Skills: data analytics, predictive models, statistical modeling, data analysis, SQL, Python, R. 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”
What You'll Achieve.
drive strategic decision-making; optimize engagement and monetization strategies; accelerate product adoption; enhance customer experiences; contribute to our business success; drive business growth; achieve our mission of making conversations more valuable; driving continuous improvement and innovation; inform strategic decision-making; shape the company’s Product roadmaps
Industry & Context.
problem solver
What They're Looking For.
Must Have
3+ years as a Data Scientist in a software technology or AI-driven company, Proficiency in SQL for querying large datasets, Expertise in Python and R for data manipulation, analysis, and visualization, 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, Problem solver, Ability to thrive in a fast-paced, dynamic start-up environment
What You'll Do.
Collaborate with Product teams to understand business objectives and challenges
translating them into data-driven insights and recommendations
Develop and implement predictive models
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
to inform strategic decision-making and shape the company’s Product roadmaps
Collaborate with Data Engineers to ensure data quality
and reliability for analysis purposes
Stay current with industry trends
emerging technologies
and best practices in data science
and AI to drive innovation and competitiveness
How You'll Work.
Team & Collaboration
Collaborate with Product teams; Partner with cross-functional teams, including Product Management and Engineering; Collaborate with Data Engineers; work effectively in cross-functional teams
Communication Scope
translate complex findings into actionable insights for non-technical stakeholders; Present findings and recommendations to key stakeholders, including executives
Process & Methodology
manage multiple projects simultaneously
Full Job Description
The Opportunity 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. Your Impact 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. We're Looking for Someone Who Has 3+ years as a Data Scientist in a software technology or AI-driven company. Holds proficiency in SQL for querying la
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