{"id":1217990,"url":"https://alion.io/job/maya-senior-data-scientist","title":"Senior Data Scientist","company":{"id":50036,"name":"Maya","domain":"maya.ph","url":"https://alion.io/company/maya-ph","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mandaluyong, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":44000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1254},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Detectron2","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OCR","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-09-13T16:00:00Z","employer_posted_date":"2026-09-13","last_verified_at":"2026-09-25T11:21:55Z","board_verified":false,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"NATURE OF WORK\nAs a Senior Anti-Fraud Data Scientist, you will be a key individual contributor responsible for safeguarding our company's financial integrity. You will leverage your deep expertise in data science and machine learning to design, develop, and implement advanced fraud detection models. You will also contribute to automating identity verification workflows, reducing manual review burden while maintaining accuracy and compliance standards. As a senior IC, you will provide technical leadership and mentorship while driving innovation in fraud prevention strategies. Your work will directly contribute to mitigating financial losses and protecting our customers.\nDISPLAYED SKILL MASTER\nTechnical Skills\nMachine Learning:\n Advanced Model Design: Ability to architect end-to-end ML systems for fraud detection, selecting and combining appropriate algorithms (e.g., ensemble methods, deep learning, anomaly detection) based on problem characteristics.\nModel Optimization: Experience with hyperparameter tuning, model compression, and latency optimization for production-grade systems.\nExperimentation & Evaluation: Strong grasp of experimental design, A/B testing, and evaluation metrics tailored to imbalanced fraud datasets.\nProgramming and System:\nProduction-Grade Code: Ability to write clean, maintainable, and well-tested Python code suitable for production environments.\nML Pipelines: Experience designing and building scalable data and ML pipelines for feature engineering, training, and inference.\nPerformance Optimization: Familiarity with profiling and optimizing code for large-scale data processing.\nComputer Vision and Document Intelligence:\nDocument Processing: Experience with OCR technologies and document layout analysis for automated information extraction.\n Object Detection: Familiarity with object detection frameworks (e.g.,Detectron2) for ID document parsing and verification.\nImage Processing: Proficiency in image preprocessing, quality assessment, and feature extraction from visual data.\nIdentity Verification and Biometrics:\nFace Recognition: Experience with facial recognition and face-matching algorithms for identity verification.\n Liveness Detection: Familiarity with anti-spoofing and liveness detection techniques (e.g., passive/active liveness).\nID Document Verification: Understanding of ID authenticity checks, tamper detection, and document forensics.\nAdditional Skills:\nNetwork/Graph Analysis: Experience with graph-based techniques for identifying fraud rings and interconnected patterns.\nNLP and LLMs: Ability to leverage large language models and NLP techniques for document understanding, entity extraction, and unstructured data processing.\n Cloud Computing (Plus): Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment and scalable processing is a plus.\nREQUIRED SKILLS\nBachelor’s degree in Data Science, Computer Science, Statistics, or a related field.\nStrong proficiency in Python or R programming languages.\nExpertise in machine learning algorithms (e.g., decision trees, random forests, gradient boosting, neural networks).\nExperience with data mining and data cleaning techniques.\nKnowledge of fraud detection methodologies and best practices.\nExcellent problem-solving and analytical skills.\nAbility to work independently and as part of a team.\nHaving at least 6 years of relevant experience\nResearch and development experience is a plus\nExperience in identity verification, KYC, or digital onboarding is a plus.","description_format":"text","description_chars":3510,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-09-25T11:20:37Z"}],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.843,"p_room":0.9,"age_days":13,"expected_fill_days":30,"reasons":["conf:42","velocity","win:mid"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/maya-senior-data-scientist","json_url":"https://alion.io/job/maya-senior-data-scientist.json","meta":{"generated_at":"2026-09-28T02:42:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1448,"day_limit":5000,"remaining_today":3552,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}