高级数据科学家
Senior Data Scientist
**关于SecurityScorecard：**
SecurityScorecard是全球领先的网络安全评级公司，目前持续对超过1200万家公司进行评级，业务覆盖64个国家。由安全和风险管理专家Dr. Alex Yampolskiy和Sam Kassoumeh于2013年创立，并获得世界级投资方的支持。SecurityScorecard的专利评级技术被超过25,000家组织用于自我监控、第三方风险管理、董事会报告和网络保险承保；通过让所有组织轻松发现并解决其数字足迹中的网络安全风险，提升整体韧性。
总部位于纽约市，我们的文化被Inc Magazine评为“最佳工作场所”，被Crain’s NY评为“纽约市最佳工作场所之一”，并连续两年被评为纽约最热门的SaaS初创企业之一。最近，SecurityScorecard入选Fast Company年度“2023年全球最具创新力公司”榜单，并荣获Achievers 2023年“最具员工参与度的50家职场”奖项，表彰“在员工参与方面具有前瞻性承诺的雇主”。SecurityScorecard自豪地获得包括Silver Lake Waterman、Moody’s、Sequoia Capital、GV和Riverwood Capital在内的世界级投资方支持。
**关于该职位：**
我们正在寻找一位才华横溢且富有驱动力的高级数据科学家加入我们不断壮大的数据科学团队。作为高级数据科学家，你将在开发和实施先进的分析模型中发挥关键作用，这些模型将推动洞察力并增强我们的网络安全评级平台。你将面对具有挑战性的问题，与跨职能团队合作，并直接为我们的产品成功做出贡献。
**职责：**
- 构建、评估和部署用于风险评分、威胁情报和供应商风险评估的机器学习模型。
- 执行探索性数据分析，识别大型和复杂数据集中的模式、趋势和异常。
- 评估和验证模型，确保其准确性、稳健性和可扩展性。
- 与产品经理和工程师合作，定义数据科学需求，并将模型集成到生产系统中。
- 参与代码审查、设计讨论和数据科学最佳实践。
- 跟踪最新的研究和技术，确保我们采用最先进的方法。
- 有效地传达发现和建议给相关方
查看英文原文
**About SecurityScorecard:**
SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.
Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the [World’s Most Innovative Companies for 2023](https://securityscorecard.com/blog/blog-top-innovators-of-the-year/) and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.
**About the Role:**
We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.
**Responsibilities:**
- Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
- Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
- Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
- Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
- Contribute to code reviews, design discussions, and data science best practices.
- Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
- Communicate findings and recommendations effectively to both technical and non-technical audiences.
**Required Qualifications:**
- Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
- 5+ years of experience applying data science and machine learning to real-world challenges.
- Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow, PyTorch).
- Experience working with cloud-based data pipelines (AWS, GCP, or similar).
- Solid understanding of ML algorithms, evaluation metrics, and model deployment.
- Effective communicator and team player with a passion for solving hard problems.
- Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
- Prior exposure and interest in LLMs is a plus.
- Working knowledge of Scala is a plus.
**Benefits:**
Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
The estimated total compensation range for this position is $80,000 USD - $100,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.
_SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law._
_We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io._
_Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law._
_SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position. #LI-DNI_