- Страна
- США
- Зарплата
- 155 000 $ – 185 000 $
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Data Scientist, Product
Отличная вакансия в известном AI-стартапе с конкурентной зарплатой и прозрачным диапазоном. Роль предполагает реальное влияние на продукт и работу с передовыми технологиями в Кремниевой долине.
Сложность вакансии
Позиция требует сильных навыков в SQL и Python/R, а также опыта работы в B2B SaaS от 3 лет. Высокая планка обусловлена необходимостью не только строить модели, но и напрямую влиять на бизнес-метрики и стратегию продукта в быстрорастущем стартапе.
Анализ зарплаты
Предлагаемая зарплата ($155k - $185k) полностью соответствует рыночным стандартам для опытных Data Scientist в районе Маунтин-Вью и Кремниевой долины. Верхняя граница диапазона даже немного превышает медиану для специалистов среднего уровня.
Сопроводительное письмо
I am writing to express my strong interest in the Data Scientist, Product position at Otter.ai. With over three years of experience in data science within the software technology sector and a deep proficiency in SQL, Python, and R, I have a proven track record of translating complex datasets into actionable product insights. My background in B2B SaaS models aligns perfectly with Otter.ai's mission to enhance meeting productivity through AI-driven transcription and collaboration tools.
In my previous roles, I have successfully designed and executed A/B tests and developed predictive models that directly influenced product roadmaps and monetization strategies. I am particularly drawn to Otter.ai because of its innovative approach to conversational AI and its impressive backing from industry-leading investors. I am eager to bring my analytical expertise to your Growth team to help optimize user engagement and drive the next phase of Otter's business success.
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Описание вакансии
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 large datasets, and expertise in Python and R for data manipulation, analysis, and visualization.
- Has a strong background in data analysis, statistical modeling, and other data science techniques.
- Is familiar with B2B SaaS business models.
- Has an excellent ability to translate complex findings into actionable insights for non-technical stakeholders.
- Showcases proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously.
- Is a strong problem solver and has the ability to thrive in a fast-paced, dynamic start-up environment.
About Otter.ai
We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.
Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.
Accessibility & Accommodations
Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.
\*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.
Salary range
Salary Range: $155,000 to $185,000 USD per year.
This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.
#LI-Hybrid
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Навыки
- SQL
- Python
- R
- Data Analysis
- Statistical Modeling
- Machine Learning
- A/B Testing
- Predictive Modeling
- SaaS
Возможные вопросы на собеседовании
Проверка опыта работы с бизнес-метриками в специфической модели B2B SaaS.
Какие ключевые метрики вы бы отслеживали для оценки успеха новой функции монетизации в Otter.ai?
Оценка технических навыков проведения экспериментов.
Опишите процесс дизайна A/B теста для изменения в интерфейсе, которое должно повысить вовлеченность пользователей. Как вы определите размер выборки?
Проверка умения работать с данными и инструментами.
Расскажите о самом сложном SQL-запросе или аналитическом пайплайне на Python, который вы создали для решения продуктовой задачи.
Оценка навыков коммуникации с нетехническими специалистами.
Как вы объясните результаты сложной статистической модели продуктовому менеджеру, который не разбирается в математике?
Проверка способности приоритизировать задачи в условиях стартапа.
Как вы подходите к приоритизации аналитических задач, когда несколько команд одновременно запрашивают данные для разных фич?
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- Страна
- США
- Зарплата
- 155 000 $ – 185 000 $