远程工作雷达

软件工程师 II

Software Engineer II

AI开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司ZoomInfo
薪资未公开
工作地点Canada
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间今天
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

ZoomInfo 是职业加速的地方。我们行动迅速,敢于大胆思考,并赋能你完成一生中最好的工作。你将与 deeply 关心工作的队友们共事,他们彼此挑战并庆祝成功。借助能放大你影响力的各种工具和支撑你抱负的文化,你不仅仅会做出贡献。你会快速实现目标。

作为软件工程师 II,你将利用理论、数据和研究来解决业务问题。你将支持多个业务领域的研发和分析工作,包括产品、销售、市场、财务、人力资源及相关职能。

此职位将负责从大数据集中提取见解,定义和实施关键模型性能指标,并通过沟通见解和趋势来支持业务决策。此职位的有效性需要理解构建和实施 AI 解决方案所需的技术方法和数据工程,同时了解行业趋势、业务目标和人力动态。你将使用数据来开发见解、预测、指标、仪表盘和建议,以指导我们的运营和市场进入策略。

### 你将做什么(核心职责)

- 全程负责研究和开发项目。界定模糊的问题并定义成功指标,通过模型开发、部署和持续监控。
- 将来自不同业务部门的业务问题转化为具有明确 KPI、交付成果和时间表的问题。
- 评估所提议计划的可行性、预期影响和权衡,以协助跨职能合作伙伴进行优先级排序和范围定义。
- 设计并开展严谨的统计分析,构建稳健的预测模型,以回答复杂的业务问题,根据具体问题选择合适的方法(例如,回归分析、时间序列、生存/流失分析、假设检验、图与网络分析)。
- 设计并实现可生产使用的数据处理流程,能够处理大规模数据集,利用分布式处理系统(例如,Snowflake、Databricks、Google Cloud Platform)并构建可重用、模块化的组件。
- 使用标准库编写可读性强、结构良好、模块化的代码,并确保你的工作被测试、文档化且易于他人维护。
- 参与代码和设计评审,提供和接受建设性的反馈,以提升团队整体质量标准。
- 贡献

查看英文原文

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

As a Software Engineer II, you will leverage theory, data, and research to solve business problems. You will support R&D and analytics efforts across multiple areas of the business including Product, Sales, Marketing, Finance, HR, and related functions.

This role will be responsible for drawing insights from large data sets, defining and implementing key model performance indicators, and for communicating insights and trends to support business decision-making. Effectiveness in this position will require an understanding of technical methods and data engineering necessary to build and implement AI solutions, as well as knowing general industry trends, business objectives, and workforce dynamics. You will use data to develop insights, forecasts, metrics, dashboards and recommendations to inform decisions about our operations and go-to-market strategy.

### What You’ll Do (Essential Functions)

- Own research and development projects end-to-end. Scope ambiguous problems and define success metrics, through model development, deployment, and ongoing monitoring.
- Translate business questions from various business units into well-defined problems with clear KPIs, deliverables, and timelines.
- Assess the feasibility, expected impact, and tradeoffs of proposed initiatives to inform prioritization and scoping decisions with cross-functional partners.
- Design and conduct rigorous statistical analyses and build robust predictive models to answer complex business questions, selecting appropriate methods (e.g., regression, time series, survival/attrition, hypothesis testing, graph and network analysis) for the problem at hand.
- Design and implement production-ready pipelines that can handle large-scale datasets, leveraging distributed processing systems (e.g., Snowflake, Databricks, Google Cloud Platform) and building reusable, modular components.
- Write readable, well-structured, modular code using standard libraries, and ensure your work is tested, documented, and maintainable by others.
- Participate in code and design reviews, giving and receiving constructive feedback to raise the quality bar across the team.
- Contribute to shared practices, tooling, and documentation that improve how the data science function operates.
- Share knowledge with teammates and provide informal guidance to more junior colleagues on modeling, code, and analysis approaches.

The information in this job description represents a summary of the role and is not intended to be a comprehensive list of job duties. Responsibilities and duties of the position may change without notice at the Company’s discretion.

### What You Bring (Required Qualifications)

- Master's degree in a STEM or quantitative field (computer science, mathematics, engineering, or related).
- 2+ years of professional experience building and deploying data science or machine learning solutions, including at least one production deployment.
- Demonstrated experience translating business questions into research problems and communicating findings to technical and non-technical audiences.
- Proficiency in Python and SQL, and experience with data visualization tools such as Tableau.
- Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud Platform.

### Preferred Qualifications

- Doctoral degree in a STEM or quantitative field (computer science, mathematics, engineering, or related).
- Familiarity with MLOps practices - model versioning, monitoring, drift detection, CI/CD for ML.
- Experience presenting analyses to senior technical and non-technical audiences.
- Exposure to Sales, Marketing, Finance, or HR analytics domains.

#LI-JH1 #LI-Remote

**About us:**

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant [Privacy Notice](https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link) for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available [here](https://www.zoominfo.com/legal/nyc-local-law-144-notice).

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

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