高级数据科学家 - 产品
Senior Data Scientist - Product
[Apollo.io](http://apollo.io/) 是收入团队的领先市场解决方案，全球超过 50 万家企业和数百万用户信赖该平台，从快速成长的初创公司到世界最大的企业均在使用。公司成立于 2015 年，是 SaaS 领域增长最快的公司之一，截至目前已融资约 2.5 亿美元，估值达 16 亿美元。[Apollo.io](http://apollo.io/) 为销售和营销团队提供对全球 2.1 亿个 B2B 联系人和 3500 万个公司的验证联系数据的便捷访问，并提供一个统一平台上的工具来接触并转化这些联系人。通过帮助收入专业人士找到最准确的联系信息并自动化外联流程，[Apollo.io](http://apollo.io/) 将潜在客户转化为客户。Apollo 在 2023 年完成了 D 轮融资，由顶级投资机构如 Sequoia Capital、Bain Capital Ventures 等支持，其董事会成员还包括 Hubspot 前总裁兼 COO JD Sherman。
**职位概述：**
我们正在寻找一位高度分析型且注重影响力的高级数据科学家，通过数据帮助塑造我们的产品战略和决策。在这个职位中，你将专注于优化现有产品，同时在相关情况下支持早期产品计划。你将与跨职能团队紧密合作，通过数据驱动的洞察推动产品创新和优化。该职位需要对将数据转化为可操作的见解充满热情，并能够在快节奏的环境中茁壮成长。
**你将负责：**
- 将业务需求转化为数据分析和可操作的见解，以优化现有和新产品的产品性能和用户体验。
- 与产品经理、工程师和其他跨职能利益相关者密切合作，识别关键产品问题并提供数据驱动的解决方案。
- 开发和维护可扩展、可靠且准确的分析基础设施，以支持产品决策。
- 建立并维护数据收集、分析和报告的最佳实践。
- 提供聚焦于实现实际产品影响的可操作见解和建议。
- 帮助在产品团队中培养数据驱动决策和持续改进的文化。
- 确保用于分析和报告的数据的完整性和准确性。
- 虽然主要关注现有产品，但也需支持 0 到 1 的产品发布。
查看英文原文
[Apollo.io](http://apollo.io/) is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. [Apollo.io](http://apollo.io/) provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, [Apollo.io](http://apollo.io/) turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
**Position Overview:**
We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment.
**What You’ll Do:**
- Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products.
- Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions.
- Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions.
- Establish and maintain best practices for data collection, analysis, and reporting.
- Deliver actionable insights and recommendations focused on landing tangible product impact.
- Help foster a culture of data-driven decision-making and continuous improvement within the product teams.
- Ensure the integrity and accuracy of the data used for analysis and reporting.
- While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.
**What You Bring:**
- Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data.
- Expertise in translating complex data into insights that are actionable for cross-functional teams.
- Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.
- Experience in building and maintaining reliable analytics infrastructures.
- Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders.
- Experience with 0 to 1 product initiatives is a plus, though not required.
- A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.
**Qualifications:**
- Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience.
- Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required.
- Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required.
- Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus.
- Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential.
- Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals.
The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
Tier 1 Pay Range (San Francisco, New York City, Seattle)
$160,000—$200,000 USD
Tier 2 Pay Range (All other US Locations)
$140,000—$176,000 USD
#### We are AI Native
Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
#### Why You’ll Love Working at Apollo
At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we **take extreme ownership** of our work, **move with focus and urgency**, and **learn voraciously** to stay ahead.
We invest deeply in your growth, ensuring you have the resources, support, and autonomy to **own your role and make a real impact**. Collaboration is at our core—we’re **all for one**, meaning you’ll have a team across departments ready to help you succeed. We encourage **bold ideas and courageous action**, giving you the freedom to experiment, take smart risks, and drive big wins.
If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.
Learn more [here!](https://www.apollo.io/we-are-apollo)