{"id":4214782,"url":"https://alion.io/job/charles-schwab-ai-data-scientist-2","title":"AI & Data Scientist","company":{"id":5314,"name":"Charles Schwab","domain":"schwab.com","url":"https://alion.io/company/charles-schwab-inc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":91,"open_postings":96,"ghost_share":0.104,"stale_share":0.146,"repost_share":0.292,"time_to_fill_p50_days":11,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Southlake, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-13T02:20:34Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T02:20:34Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Your opportunity\nAt Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. You’ll be part of a collaborative, technology-forward environment that values curiosity, continuous learning, and thoughtful problem-solving. Schwab Technology Services (STS) enables innovative and reliable technology products that power how clients manage their money, supporting Schwab’s commitment to expanding access to investing and financial planning. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.\nWe believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).\nOrganization / Role Description\nSchwab’s AI & Data Science organization is the centralized hub for delivering responsible, production-grade AI and machine learning solutions that drive measurable business outcomes across the firm. The team partners with Schwab business units to identify high-impact use cases, pilot innovative analytical solutions, and transition successful models into compliant, resilient production systems. Our mission is to accelerate the adoption of AI as a strategic product capability-ensuring models are scalable, reusable, governable, and continuously delivering value in a highly regulated environment.\nAs a Senior AI & Data Scientist, you will play an essential part in advancing Schwab’s capabilities by driving the design, development, and implementation of innovative AI and machine learning solutions that address complex, enterprise-scale challenges. You’ll bridge advanced research and robust engineering, owning the end-to-end lifecycle of high-impact models. Successful candidates will work collaboratively across the organization with our business sponsors, development teams, and engineering partners. We are seeking a subject matter expert in all things AI, primed to identify and translate advanced analytical techniques, applications, and strategies into practical production ready solutions.\nKey Responsibilities\nGet hands-on with big data as you analyze, interpret, extract insights, and produce innovative AI solutions that enable advanced decisioning leveraging the latest algorithms, state-of-the-art techniques, and tools.\n\nDesign and build end-to-end machine learning systems by defining scalable, reliable, and maintainable architectures that support data ingestion, feature generation, model training, evaluation, deployment, monitoring, and value measurement in production environments.\n\nTranslate business strategy into technical execution by partnering with business stakeholders to convert high-level business objectives into clear, actionable data science and AI solutions that address critical business and technology challenges.\n\nSet and elevate engineering standards for data science by establishing best practices that treat data science as a rigorous engineering discipline, including modular code design, testing, version control, and production readiness.\n\nAdvance technical capabilities in emerging areas by leading complex initiatives involving advanced machine learning, recommender systems, real-time and low-latency inference, or other evolving technologies that require deep technical expertise and comfort with ambiguity.\n\nWhat you have\nRequired Qualifications\nExperience in data science and machine learning.\n\nAdvanced degree (Master’s or PhD) in a quantitative field such as computer engineering, statistics, mathematics, physics, chemistry, or related discipline.\n\nHands-on experience using Python and SQL to develop production-grade, modular, and optimized code.\n\nProven ability to convert business requirements into technical end-to-end machine learning solutions delivered against roadmap milestones for two or more lines of business.\n\nProven experience developing supervised and unsupervised machine learning solutions, with delivery of three or more distinct models supported by documented evaluation metrics, performance tracking, and value measurement.\n\nExperience in applying natural language processing techniques to unstructured data with at least one solution delivered to production.\n\nPractical experience designing LLM solutions (such as retrieval-augmented generation, agent workflows, or fine-tuning), including at least one LLM system deployed for internal use.\n\nStrong software engineering fundamentals, including version control, CI/CD, and MLOps practices, demonstrated through three or more production deployments.\n\nPreferred Qualifications\nExperience working in financial services or other highly regulated industries.\n\nStrong background in statistics, forecasting, or causal inference.\n\nHands-on experience architecting machine learning solutions within cloud ecosystems.\n\nExperience building, maintaining, and optimizing data pipelines that support machine learning workflows.\n\nExperience developing large-scale recommender or personalization systems.\n\nA demonstrated commitment to mentorship, including coaching senior data scientists or engineers and elevating team capability through feedback and code quality.\n\nOutstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization.\n\nSelf-starter with strong organizational skills, attention to detail, and desire to continually reevaluate existing products and processes.\n\nComfort in a dynamic, fast-moving environment, with a positive attitude, solid work ethic, and strong track records of performance.\n\nIn addition to the salary range, this role is also eligible for bonus or incentive opportunities.\nWhat’s in it for you\nAt Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.\nWe offer a competitive benefits package that takes care of the whole you - both today and in the future:\n401(k) with company match and Employee stock purchase plan\nPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions\nPaid parental leave and family building benefits\nTuition reimbursement\nHealth, dental, and vision insurance","description_format":"text","description_chars":6646,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-11-13T02:20:34Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":11,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-13T03:37:28Z"},"pay":{"stated_usd_annual":155000,"is_top_pay":false},"html_url":"https://alion.io/job/charles-schwab-ai-data-scientist-2","json_url":"https://alion.io/job/charles-schwab-ai-data-scientist-2.json","meta":{"generated_at":"2026-11-13T03:37:28Z","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":7637,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"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":5314},"rest":"https://alion.io/mcp/rest/get_company?id=5314"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcharles-schwab-ai-data-scientist-2"},{"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%2Fcharles-schwab-ai-data-scientist-2"},{"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%2Fcharles-schwab-ai-data-scientist-2"},{"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/charles-schwab-ai-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcharles-schwab-ai-data-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4214782}},{"tool":"search_jobs","arguments":{"company":"schwab.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4214782},"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"}}