{"id":162851,"url":"https://alion.io/job/pressganey-ml-data-scientist-iii","title":"ML Data Scientist III","company":{"id":63021,"name":"Press Ganey","domain":"pressganey.com","url":"https://alion.io/company/pressganey","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":100000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"Google ADK","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"RAG","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-17T00:08:34Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"description":"Company Description\nPress 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.\nLike 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.\nOur Mission:\nWe empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.\nOur Values:\nTo put Human Experience at the heart of organizations so every person can be seen and understood.\nEnergize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.\n\nSuccess starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.\n\nCommit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.\n\nDare to innovate: We challenge the status quo with creativity and innovation as our true north.\n\nBetter together: We check our egos at the door. We work together, so we win together.\n\nPress 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.\nPress 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.\nYou will\nDesign, Develop, and evaluate Conversational AI Agents\n\nWork closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products\n\nLeverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team\n\nWork closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents\n\nYou have\nMaster's degree in Computer Science, Artificial Intelligence, or related field\n\n5+ years of professional experience in Applied Research and/or Software Engineering\n\nProven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.\n\nProven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.\n\nStrong understanding of Machine Learning, NLP, and Generative AI\n\nExcellent communication and cross-team collaboration skills\n\nPreferred Qualifications\nPhD in Computer Science, Artificial Intelligence, or related field\n\nFamiliarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.\n\nExperience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.\n\nInvolvement in Conversational AI research community\n\nDon’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.\nAdditional Information for US based jobs:\nPress Ganey Associates LLC is an Equal Employment Opportunity/AffirmativeAction 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.\nPay 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.\nThe 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.\nAll your information will be kept confidential according to EEO guidelines.\nOur privacy policy can be found here: https://www.pressganey.com/legal-privacy/","description_format":"text","description_chars":6796,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Market Research","Health Data & Interoperability"],"lifecycle":[{"event":"open","at":"2026-07-28T00:00:00Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.771,"p_room":0.36,"age_days":81,"expected_fill_days":49,"reasons":["conf:5","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/pressganey-ml-data-scientist-iii","json_url":"https://alion.io/job/pressganey-ml-data-scientist-iii.json","meta":{"generated_at":"2026-10-18T15:51:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21811,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":63021},"rest":"https://alion.io/mcp/rest/get_company?id=63021"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpressganey-ml-data-scientist-iii"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpressganey-ml-data-scientist-iii"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpressganey-ml-data-scientist-iii"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pressganey-ml-data-scientist-iii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpressganey-ml-data-scientist-iii"}]}