机器学习数据科学家III
ML Data Scientist III
公司简介
Press Ganey 是复杂行业中最领先的体验度量、数据分析和洞察提供商——这一地位是我们数十年来与客户深入合作，帮助他们理解并满足关键利益相关者需求所赢得的。我们最早的根基在美国医疗行业——也许是所有行业中最为复杂的。如今，我们为全球各行各业的客户提供服务，帮助他们改善业务核心的人类体验。我们通过无与伦比的解决方案，结合技术、数据和专业知识，使客户能够精准识别和优先处理机会，加速改进工作，并在客户和员工中建立终身忠诚度。
像所有伟大的公司一样，我们的成功取决于我们的员工和文化。我们的员工拥有世界级的才能、协作的工作精神，以及对工作的热情，这使我们在世界最知名的品牌中获得了值得信赖的顾问地位。作为团队的一员，你将帮助我们为客户创造价值，通过你的贡献和在过程中的声音，使我们变得更好。我们是一条学习和持续改进的道路；团队的努力决定了企业成功的方向。
我们的使命：
我们赋能组织提供最佳体验。凭借行业专长和技术，我们将数据转化为推动创新和行动的洞察。
我们的价值观：
以人类体验为核心，让每个个体都被看见和理解。
- 激活客户关系：我们的客户是我们的合作伙伴。我们把他们的目标当作自己的，携手合作，将挑战转化为解决方案。
- 成功始于我：个人责任驱动集体成功。我们每个人都在尽自己的职责，并赋能队友也这样做。
- 承诺学习：每一次胜利都是跳板。每一次障碍都是一堂课。我们利用每一次经历作为成长的机会。
- 敢于创新：我们以创造力和创新为真正的指南针，挑战现状。
- 更好地一起：我们放下自负。我们齐心协力，共同取胜。
Press Ganey 致力于在招聘过程中为符合条件的残疾人或残疾退伍军人提供合理的便利。如果您需要协助或在在线申请职位或面试及评估时需要便利措施，请联系我们。请提供您的联系方式和说明。
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Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate: We challenge the status quo with creativity and innovation as our true north.
- Better together: We check our egos at the door. We work together, so we win together.
Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at Please provide your contact information and the details of your request so we can best assist you.
Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III – Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data.
You will
- Design, Develop, and evaluate Conversational AI Agents
- Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products
- Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team
- Work closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents
You have
- Master's degree in Computer Science, Artificial Intelligence, or related field
- 5+ years of professional experience in Applied Research and/or Software Engineering
- Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.
- Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.
- Strong understanding of Machine Learning, NLP, and Generative AI
- Excellent communication and cross-team collaboration skills
Preferred Qualifications
- PhD in Computer Science, Artificial Intelligence, or related field
- Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.
- Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.
- Involvement in Conversational AI research community
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 Press Ganey 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.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:
Originally posted on Himalayas