{"id":4327625,"url":"https://alion.io/job/sp-global-data-scientist","title":"Data Scientist","company":{"id":8679,"name":"S&P Global","domain":"spglobal.com","url":"https://alion.io/company/spglobal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":56,"ghost_share":0,"stale_share":0.661,"repost_share":0.054,"time_to_fill_p50_days":24,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"Feature Store","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"A/B Testing","optional":true},{"name":"Amazon Neptune","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"Interpretability","optional":true},{"name":"LangChain","optional":true},{"name":"Neo4j","optional":true},{"name":"RAG","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-11-14T00:00:00Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-15T02:08:00Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role:\nGrade Level (for internal use):\n10S&P Global Corporate\nAI Data Engineer\nLocation: NYC: 55 water street, two days per week onsite.\nRole Overview\nThe AI Data Engineer will specialize in building and optimizing machine learning data pipelines, focusing on AI model tracking, lifecycle management, and integration with AI governance systems. This role combines data engineering expertise with AI/ML knowledge to support the organization's broader data and AI infrastructure initiatives.\nKey Responsibilities\nDesign and implement specialized data pipelines for AI model metadata, training data lineage, and model performance metrics tracking.\nBuild data infrastructure on Databricks leveraging Spark for large-scale distributed dataset processing.\nDevelop MCP servers and enable AI data distribution via MCP.\nDevelop feature engineering pipelines and data preprocessing workflows for AI model training and inference.\nImplement model versioning, experiment tracking, and model registry integration using MLflow or similar tools.\nCreate automated workflows for AI agent discovery, classification, and inventory management across the enterprise.\nDesign and maintain knowledge graph structures for representing AI model relationships, dependencies, and data lineage.\nBuild real-time data pipelines for AI model monitoring, drift detection, and performance tracking.\nDevelop data quality frameworks specific to AI training datasets and validation data.\nCollaborate with data scientists to optimize data access patterns and feature store implementations.\nImplement security and compliance controls for sensitive AI training data and model artifacts.\nCreate comprehensive documentation for AI data architectures, schemas, and integration patterns.\nRequired Skills and Qualifications\n5+ years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads.\nExpert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.\nStrong experience with Databricks, Apache Spark, and distributed computing for ML workflows.\nDeep understanding of the machine learning lifecycle, including model training, deployment, and monitoring processes.\nExperience with feature engineering, data preprocessing techniques, and ML data pipelines.\nKnowledge of vector databases, embeddings, and similarity search for AI applications.\nProficiency in SQL for structured and unstructured data management.\nUnderstanding of data governance, model governance, and AI ethics principles.\nStrong analytical and problem-solving capabilities with attention to data quality.\nExcellent collaboration skills for working with data scientists, ML engineers, and architects.\nBachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.\nPreferred/Nice-to-Have Skills\nExperience with generative AI applications, including RAG (Retrieval-Augmented Generation) and fine-tuning.\nKnowledge of LangChain, HuggingFace, or other GenAI frameworks.\nFamiliarity with Azure ML, AWS SageMaker, or Google Vertex AI platforms.\nExperience with graph databases (Neo4j, Amazon Neptune) for knowledge graph implementation.\nUnderstanding of AI model explainability and interpretability techniques.\nExperience with A/B testing frameworks for ML model evaluation.\nCertification in Databricks, AWS, Azure, or GCP AI/ML services.\nPublications or contributions to open-source ML projects\nNOTE: As part of the process there is a mandatory in person technical evaluation.\nRight to work requirements for US based out candidates:\nThis role is open only for candidates with indefinite right to work within the US.\nCompensation/Benefits Information (US Applicants Only):\nS&P Global states that the anticipated base salary range for this position is $90,000 USD - $150,000 USD. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.\nIn addition to base compensation, this role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.\nWhat’s In It For You?\nOur Mission: \nAdvancing Essential Intelligence.\nOur People:\nWe're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.\nOur Values:\nIntegrity, Discovery, Partnership\nThroughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.\nBenefits:\nWe take care of you, so you can take care of business. We care about our people. That’s why we provide everything you-and your career-need to thrive at S&P Global.\nOur benefits include:\nHealth & Wellness: Health care coverage designed for the mind and body.\n\nFlexible Downtime: Generous time off helps keep you energized for your time on.\n\nContinuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.\n\nInvest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.\n\nFamily Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.\n\nBeyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.\n\nFor more information on benefits by country visit: https://spgbenefits.com/benefit-summaries\nGlobal Hiring and Opportunity at S&P Global:\nAt S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.\nRecruitment Fraud Alert:\nIf you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.\n-----------------------------------------------------------\nEqual Opportunity Employer\nS&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.\nIf you need an accommodation during the application process due to a disability, please send an email to:  and your request will be forwarded to the appropriate person. \nUS Candidates Only: Know Your Rights: Workplace discrimination is illegal\n-----------------------------------------------------------\n20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)","description_format":"text","description_chars":8371,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Retirement plans","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Bureaus & Rating Agencies","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-11-15T02:08:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 45 · green card filings: 1","filings_12m":45,"filings_prev_12m":26,"green_card_filings_12m":1,"median_offered_wage_usd":146087,"route":null,"cap_exempt":false,"checked_at":"2026-11-14T07:33:33+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":24,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-15T03:49:17Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":true},"html_url":"https://alion.io/job/sp-global-data-scientist","json_url":"https://alion.io/job/sp-global-data-scientist.json","meta":{"generated_at":"2026-11-15T03:49:17Z","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":7182,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":8679},"rest":"https://alion.io/mcp/rest/get_company?id=8679"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsp-global-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fsp-global-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fsp-global-data-scientist"},{"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/sp-global-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsp-global-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4327625}},{"tool":"search_jobs","arguments":{"company":"spglobal.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4327625},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}