{"id":3047910,"url":"https://alion.io/job/kiavi-senior-data-scientist","title":"Senior Data Scientist","company":{"id":5451,"name":"Kiavi","domain":"kiavi.com","url":"https://alion.io/company/kiavi","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":175000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Quantization","optional":true},{"name":"WhatsApp","optional":true}],"status":"closed","first_seen_at":"2026-10-21T23:45:22Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T21:44:42Z","board_verified":false,"closed_at":"2026-10-23T21:44:42Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nWe are looking for a Senior Data Scientist to develop and apply modern machine learning and artificial intelligence across a range of products and business problems. The ideal candidate combines strong computer science foundations, rigorous experimental judgment, and the ability to turn advances in AI into reliable systems with measurable business impact.\nThe work spans document intelligence, multimodal systems that combine text, images, and structured data, and the adaptation of foundation models using proprietary datasets. These models support complex workflows in regulated financial services, where accuracy, explainability, data governance, reproducibility, and careful evaluation are essential.\nYou will work across the full machine learning lifecycle: framing problems, developing datasets, building and evaluating models, running large-scale experiments, and partnering with engineering teams to bring successful solutions into production. A central part of the role is turning successful approaches into reusable AI capabilities, patterns, and components that can support multiple teams and use cases rather than creating a separate one-off solution for every problem.\nWhat You’ll Do\nIdentify high-impact opportunities for machine learning and AI in partnership with product, engineering, operations, and business teams.\n\nDesign, train, fine-tune, and evaluate machine learning and deep-learning models.\n\nWork with foundation models across language, vision, and multimodal applications.\n\nDevelop robust datasets, features, training pipelines, and evaluation frameworks.\n\nRun efficient experiments on GPU infrastructure and improve model quality, speed, and cost.\n\nCompare alternative modeling approaches and make clear recommendations based on empirical results and business impact.\n\nBuild reusable modeling components, evaluation frameworks, and implementation patterns that accelerate work across teams and projects.\n\nEstablish clear interfaces and standards that allow other teams to adopt proven AI capabilities without rebuilding the underlying modeling work.\n\nBuild models and supporting systems that are reproducible, testable, and suitable for production use.\n\nPartner with ML and software engineers on deployment, monitoring, reliability, and ongoing model improvement.\n\nCommunicate results, limitations, and tradeoffs clearly to both technical and non-technical stakeholders.\n\nStay current with advances in machine learning and determine when emerging techniques are mature enough to create practical value.\n\nWhat We’re Looking For\nBachelor’s or advanced degree in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, or a related technical field, or equivalent practical experience.\n\n5+ years of experience developing machine learning solutions, including experience taking models beyond initial experimentation.\n\nStrong programming and software-engineering skills, particularly in Python.\n\nStrong foundations in machine learning, statistics, algorithms, data structures, and experimental design.\n\nHands-on experience with deep-learning frameworks such as PyTorch or TensorFlow.\n\nExperience training or fine-tuning transformer-based, vision, or multimodal models.\n\nExperience working with GPUs and understanding the practical constraints of model training and inference.\n\nAbility to work with large, complex, and imperfect datasets.\n\nDemonstrated ability to own open-ended problems from initial investigation through implementation and measurement.\n\nDemonstrated ability to generalize successful solutions into reusable capabilities rather than one-off models.\n\nStrong communication and cross-functional collaboration skills.\n\nPreferred Qualifications\nMaster’s degree or PhD in Computer Science, Machine Learning, or a related field.\n\nExperience with distributed training, model optimization, quantization, or parameter-efficient fine-tuning.\n\nExperience deploying and monitoring machine learning models in production.\n\nFamiliarity with cloud infrastructure, distributed data processing, and modern ML development platforms.\n\nExperience building AI systems in regulated, risk-sensitive, or high-stakes environments.\n\nContributions to applied research, open-source projects, patents, or production AI products.\n\nWhat Success Looks Like\nYou turn ambiguous business needs into well-defined machine learning problems and measurable success criteria.\n\nYou build models that improve real customer or operational outcomes, not only offline metrics.\n\nYou make thoughtful tradeoffs among model quality, complexity, latency, reliability, and cost.\n\nYou create reusable foundations that allow multiple teams to apply proven AI capabilities to new problems more quickly and consistently.\n\nYou help raise the organization’s technical standards for experimentation, evaluation, and production AI.\n\nIdentity Verification Notice: To ensure the security and integrity of our hiring process, all candidates are required to complete a secure identity verification. This process uses biometric and device validation to confirm identity and liveness. All data is handled securely in accordance with our privacy policy.\nKiavi takes a market-based approach to pay, and pay may vary depending on your location. The expected annualized base pay range for this full-time role to be performed remotely is $175,000 - $225,000 base + bonus + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries. Within the range, the successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific base pay range for your preferred location during the hiring process. Please note that the pay range listed above reflects the base salary only, and does not include the target value of bonus or benefits.\nProtect yourself from recruitment scams:\nIf you are offered an interview or a role with Kiavi, this will be communicated with you through email, via an official email address ending in @kiavi.com or @lendinghome.com. \nYou will never be asked for payments of any kind during the process.\nWe also never communicate with candidates via Whatsapp at any point during the recruitment process. \nWe won’t ask for personal information or data via text message. If you have any concerns regarding how genuine a text message is, please contact your recruiter.\nYou can find our official Kiavi careers page here. We advise you to check that the page details and website addresses match if you have any concerns.\nKiavi is an Equal Opportunity Employer San Francisco Fair Chance Ordinance Police Code, Article 49\nWe use E-Verify to confirm the identity and employment eligibility of all new hires.","description_format":"text","description_chars":6803,"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":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Business & SME Lending","Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-10-22T01:13:15Z"},{"event":"close","at":"2026-10-23T21:44:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":172500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":null,"pay":{"stated_usd_annual":225000,"is_top_pay":true},"html_url":"https://alion.io/job/kiavi-senior-data-scientist","json_url":"https://alion.io/job/kiavi-senior-data-scientist.json","meta":{"generated_at":"2026-10-26T04:24:29Z","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":6043,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":5451},"rest":"https://alion.io/mcp/rest/get_company?id=5451"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkiavi-senior-data-scientist"},{"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%2Fkiavi-senior-data-scientist"},{"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%2Fkiavi-senior-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/kiavi-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkiavi-senior-data-scientist"}]}