数据科学家
Data Scientist
## 关于 Prove
随着世界向以移动设备为中心的经济转变，企业需要现代化其获取、与消费者互动和赋能的方式。Prove 的以电话为中心的身份令牌化和被动密码认证解决方案在所有数字渠道中减少了摩擦，增强了安全性和隐私性，加速了收入增长，同时降低了运营成本和欺诈损失。超过 1000 家企业客户使用 Prove 的平台每年处理 200 亿次客户请求，涵盖银行、贷款、医疗保健、游戏、加密货币、电子商务、市场平台和支付等行业。有关 Prove 的最新动态，请[关注我们的 LinkedIn。](https://www.linkedin.com/company/proveidentity/)
Prove 正在推动数字身份的未来。我们正在寻找能够产生影响的 Provers。我们谈论的是自我驱动的专业人士，他们能在快节奏的环境中茁壮成长，快速处理信息并做出明智的决策。这项工作充满挑战，不仅需要聪明，还需要自然的好奇心和坚持。团队合作对我们也很重要——我们一同工作，也一同娱乐。
Prove 有宏伟的计划，我们对未来发展充满期待。如果这听起来适合你——加入我们的团队吧！
**职位：数据科学家**
**部门：数据工程 - 工程**
**汇报对象：数据科学总监**
**FLSA 状态：非豁免**
**地点：美国（远程）**
**请注意，我们在组织内不同级别招聘多名数据科学家。级别和薪酬将根据个人资格和面试表现确定。**
**此职位不提供工作授权赞助。**
### 职位简介
我们正在寻找一位高级数据科学家，该职位需要结合统计分析和应用机器学习的扎实专业知识，以及在以生产为导向的工作流程中的实际经验。这个职位不仅仅是单独构建模型——你将与高级机器学习工程师紧密合作，确保模型具备生产就绪性、可监控性，并持续改进。
你将专注于生成洞察、开发模型，并积极协作监控已部署的算法。除了技术方面，你还将帮助基于现实世界的表现，识别模型驱动的改进机会，以及为业务和客户提供建议。
### 主要职责
- **统计与机器学习建模**
- 开发、验证和调优统计和机器学习模型，以解决复杂的数据问题并提升业务指标。
查看英文原文
## About Prove
As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, [follow us on LinkedIn.](https://www.linkedin.com/company/proveidentity/)
Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.
Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team!
**Title: Data Scientist**
**Department: Data Engineering - Engineering**
**Reports To: Director, Data Science**
**FLSA Status: Exempt**
**Location: United States (Remote)**
**Please note we are hiring multiple Data Scientists at different levels in the organization. Level and compensation will be based on individual qualifications and interview performance.**
**This role is not eligible for work authorization sponsorship.**
### Job Summary
We are seeking a Senior Data Scientist who combines strong expertise in statistical analysis and applied machine learning with practical experience in production-oriented workflows. This role is not just about building models in isolation—you will partner closely with Senior Machine Learning Engineers to ensure models are production-ready, monitored, and continuously improved.
You’ll focus on generating insights, developing models, and proactively collaborating in monitoring deployed algorithms. Beyond the technical, you’ll help identify opportunities for model-driven enhancements and business and customer recommendations based on real-world performance.
### Key Responsibilities
- **Statistical & ML Modeling**
- Develop, validate, and tune statistical and machine learning models that solve complex business problems.
- Partner with engineers to ensure models are designed with production deployment in mind.
- Design experiments and evaluate models using robust statistical methodologies.
- Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains.
- **Production Awareness & Monitoring**
- Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure.
- Proactively monitor deployed models for drift, accuracy, and reliability.
- Provide insights and business recommendations based on model performance in production.
- Recommend retraining or refinement strategies in response to performance changes.
- **Business Impact & Strategy**
- Translate model results into actionable recommendations for both product and business teams.
- Identify opportunities for model improvements that drive up-sell, revenue growth, and cost reduction.
- Communicate results clearly to both technical and non-technical stakeholders.
- **Collaboration & Leadership**
- Work side-by-side with Senior Machine Learning Engineers to ensure smooth handoff from research to deployment.
- Mentor team in best practices for applied ML and production readiness.
- Contribute to evolving data science standards and playbooks that prioritize operational impact.
### Qualifications
- **Education & Experience**
- 5+ years of experience applying machine learning and statistics to business problems.
- Master’s or PhD in Statistics, Computer Science, Data Science, or related field (or equivalent experience).
- Prior exposure to production ML environments and workflows.
- **Technical Skills**
- Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow).
- Strong background in statistical methods (supervised/unsupervised learning, classification models, etc.), experimental design, and data visualization (Looker) and storytelling.
- Strong proficiency in SQL (Snowflake) with an ability to work with raw data and collaborate with data engineering teams to optimize data pipelines.
- Proficiency with cloud platforms (AWS).
- Solid understanding of APIs, model deployment processes, and monitoring practices.
- Familiarity with other programming languages such as R, Java, and Go.
- **Soft Skills**
- Excellent communication skills with ability to bridge technical and business contexts.
- Strong problem-solving and proactive ownership mindset.
- Comfort working in cross-functional teams with engineers, product managers, and business leaders.
- Ability to balance quick iterations with building long-term scalable solutions.
### What We Offer
- Competitive compensation and benefits.
- A high-impact environment and data-driven culture where your models make it into production and drive measurable business outcomes.
- Opportunities to shape both data science practices and production ML systems.
This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.
The anticipated base salary range for these roles is categorized by level:
- **Data Scientist:** $125,000 – $140,000
- **Senior Data Scientist:** $150,000 – $170,000
Offered salary will be determined by the applicant’s education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data.
Prove follows a market driven compensation philosophy based on geographic location and respective market rates. Job offers will be aligned to location. Please speak with your recruiter if you have questions. Prove defines:
- Metro 2 - NYC metro area, Seattle metro area, Los Angeles metro area, and the Miami metro area.
- Metro 3 - all other cities across the domestic United States, with the exception of the San Francisco Bay Area.
**Benefits & Perks for FTE Provers:**
- Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan
- Modern Health for financial, mental, and physical wellness
- 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices)
- Unlimited Vacation and Flexible hours
- Comprehensive medical benefits for you and your family ❤️
- Emotional & Physical Wellness – Access to wellness services (EAP & Prove Well-Being Reimbursement)
- Bottomless snacks & beverages for certain office locations
- Daily GrubHub stipend for lunch if coming into the office (US Offices)
- A great place to work and connect with other talented Provers like yourself!
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
**Equal Opportunity Employment:**
Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics
**Privacy & Data Protection:**
When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our [Recruitment Privacy Policy](https://www.prove.com/legal/recruitment-privacy-notice) on our website.