{"id":4213095,"url":"https://alion.io/job/figure-senior-data-scientist","title":"Senior Data Scientist","company":{"id":4955,"name":"Figure","domain":"figure.com","url":"https://alion.io/company/figure","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":5,"ghost_share":0,"stale_share":0.2,"repost_share":0.4,"time_to_fill_p50_days":29,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":132000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":132000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"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":"Quantization","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-11-12T23:18:33Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T01:44:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Figure\nFigure Technology Solutions, Inc. (Nasdaq: FIGR; OPEN: FGRS) is the leading blockchain-native capital marketplace for the origination, funding, sale and trading of tokenized assets. More than 480 partners use its loan origination system and capital marketplace. Collectively, Figure and its partners have originated over $30 billion of loans to date, among other products. The fastest growing components are Figure Connect, its credit marketplace, and Democratized Prime, Figure’s on-chain lend-borrow marketplace. Figure’s ecosystem also includes DART (Digital Asset Registry Technology) for asset custody and lien perfection, and $YLDS, a yield-bearing stablecoin registered with the SEC as a security under the Securities Act of 1933.\nFigure is the market leader in real-world asset (RWA) tokenization. The company has received triple-A ratings ratings from S&P and Moody’s on multiple loan securitizations, the first of its kind for blockchain finance.\nWe’re proud to be recognized as one of Forbes’ Top 50 Fintech Companies and CNBC’s World’s Top Fintech Companies.\nAbout the Role\nWe’re looking for a Senior Data Scientist to join our growing team! As Senior Data Scientist, you’ll develop and apply modern machine learning and artificial intelligence across a range of products and business problems. You’ll combine strong computer science foundations, rigorous experimental judgment, and the ability to turn advances in AI into reliable systems with measurable business impact. The 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. You’ll work across the full machine learning lifecycle and turn successful approaches into reusable AI capabilities, patterns, and components that support multiple teams rather than building a 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\nDesign, train, fine-tune, and evaluate machine learning and deep-learning models\nWork with foundation models across language, vision, and multimodal applications\nDevelop robust datasets, features, training pipelines, and evaluation frameworks\nRun efficient experiments on GPU infrastructure and improve model quality, speed, and cost\nCompare alternative modeling approaches and make clear recommendations based on empirical results and business impact\nBuild reusable modeling components, evaluation frameworks, and implementation patterns that accelerate work across teams and projects\nEstablish clear interfaces and standards that allow other teams to adopt proven AI capabilities without rebuilding the underlying modeling work\nBuild models and supporting systems that are reproducible, testable, and suitable for production use\nPartner with ML and software engineers on deployment, monitoring, reliability, and ongoing model improvement\nCommunicate results, limitations, and tradeoffs clearly to both technical and non-technical stakeholders\nStay current with advances in machine learning and determine when emerging techniques are mature enough to create practical value\nTurn ambiguous business needs into well-defined machine learning problems and measurable success criteria\nBuild models that improve real customer or operational outcomes, not only offline metrics\nMake thoughtful tradeoffs among model quality, complexity, latency, reliability, and cost\nCreate reusable foundations that allow multiple teams to apply proven AI capabilities to new problems more quickly and consistently\nHelp raise the organization’s technical standards for experimentation, evaluation, and production AI\nWhat We Look For\nBachelor’s or advanced degree in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, or a related technical field, or equivalent practical experience\n5+ years of experience developing machine learning solutions, including experience taking models beyond initial experimentation\nStrong programming and software-engineering skills, particularly in Python\nStrong foundations in machine learning, statistics, algorithms, data structures, and experimental design\nHands-on experience with deep-learning frameworks such as PyTorch or TensorFlow\nExperience training or fine-tuning transformer-based, vision, or multimodal models\nExperience working with GPUs and understanding the practical constraints of model training and inference\nAbility to work with large, complex, and imperfect datasets\nDemonstrated ability to own open-ended problems from initial investigation through implementation and measurement\nDemonstrated ability to generalize successful solutions into reusable capabilities rather than one-off models\nStrong communication and cross-functional collaboration skills\nMaster’s degree or PhD in Computer Science, Machine Learning, or a related field (preferred)\nExperience with distributed training, model optimization, quantization, or parameter-efficient fine-tuning (preferred)\nExperience deploying and monitoring machine learning models in production (preferred)\nFamiliarity with cloud infrastructure, distributed data processing, and modern ML development platforms (preferred)\nExperience building AI systems in regulated, risk-sensitive, or high-stakes environments (preferred)\nContributions to applied research, open-source projects, patents, or production AI products (preferred)\nAdhere to all company security policies and data handling procedures.\nComplete mandatory security awareness training within required timeframes.\nPromptly report any suspected security incidents or suspicious activity to the Security team.\nSalary\nBase Compensation Range: $132,000 - $198,000/yr\n25% annual bonus target, paid quarterly\nCompany equity in the form of RSUs\nThis is the compensation range for the role in the United States. Actual compensation may vary based on a candidate’s experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.\nBenefits\nComprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits Employer-paid life and disability insurance 11 observed holidays and PTO plan Up to 12 weeks of paid family leave Continuing education reimbursement\nDepending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.\nFigure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.\n#LI-SB1 #LI-Hybrid","description_format":"text","description_chars":7345,"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":["Equity","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Tokenization","Mortgage Lending & Brokers","Consumer Loans & Pawnshops"],"lifecycle":[{"event":"open","at":"2026-11-13T01:44:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:1","win:early"],"computed_at":"2026-11-13T02:57:00Z"},"pay":{"stated_usd_annual":132000,"is_top_pay":false},"html_url":"https://alion.io/job/figure-senior-data-scientist","json_url":"https://alion.io/job/figure-senior-data-scientist.json","meta":{"generated_at":"2026-11-13T02:57:00Z","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":6259,"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":4955},"rest":"https://alion.io/mcp/rest/get_company?id=4955"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffigure-senior-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%2Ffigure-senior-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%2Ffigure-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/figure-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffigure-senior-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4213095}},{"tool":"search_jobs","arguments":{"company":"figure.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4213095},"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. 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