{"id":2510229,"url":"https://alion.io/job/user-experience-researchers-data-scientist","title":"Data Scientist","company":{"id":245891,"name":"User Experience Researchers","domain":"user.com.sg","url":"https://alion.io/company/user-3","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":2500,"max":4000,"currency":"SGD","period":"month","gross":true,"usd_annual":37500},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-14T00:00:00Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Key Responsibilities: \nAnalyse large operational datasets to identify patterns, anomalies, outliers and risk indicators.\nDevelop approaches for anomaly detection, clustering, segmentation and risk scoring.\nBuild supervised machine-learning models where historical outcomes or labelled cases are available.\nPerform feature engineering using structured and unstructured data.\nDesign evaluation approaches to assess model performance, including precision, recall, false positives and false negatives.\nWork with domain experts to determine how analytical outputs should be incorporated into operational workflows.\nBuild and maintain data-processing and feature pipelines to support modelling at scale.\nDevelop production-ready model or scoring pipelines and integrate them with applications built by the delivery teams.\nMonitor model performance, data quality and data drift after deployment.\nConduct exploratory analysis to identify new opportunities for workflow redesign and automation.\nSupport the use of LLMs and other AI techniques alongside traditional statistical and machine-learning approaches where appropriate.\nDevelop reusable analytical approaches and components that can be applied across multiple project engagements.\nRequirements & Qualifications\nBachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.\n\n3–5 years of relevant experience in data science, machine learning, advanced analytics, or a similar role.\n\nExperience working with large, messy operational or transactional datasets.\nExperience in applied data science, including statistics, feature engineering, machine learning and model evaluation.\nExperience with techniques such as anomaly detection, classification, clustering or risk modelling.\nExperience building data pipelines and taking models beyond experimentation into production environments.\nB. Technical & Professional Competencies\nEssential (Must-Have)\nStrong proficiency in Python and SQL.\nAble to translate a business or operational problem into an analytical problem and determine the appropriate modelling approach.\nFamiliarity with software engineering practices including Git, automated testing and APIs.\nComfortable assessing model trade-offs and explaining them clearly to non-technical stakeholders.\nPreferred (Advantageous)\nFamiliarity with containers, CI/CD or other DevOps / ModelOps practices would be advantageous.\nC. Soft Skills & Communication Attributes\nAble to work independently in an ambiguous, fast-moving environment and collaborate closely with engineers, product teams and domain experts.\nStrong sense of ownership for turning analysis into something that is used in an operational workflow.\nSkills\nSupervised Learning, large datasets, False Positive, Data Pipeline, Risk Modeling, Pipeline Development, Classification, Methods&techniques, Feature Engineering, Anomaly Detection, Statistics, Pattern Recognition, Clustering, transactional data, Accuracy and Precision, Operational Workflow","description_format":"text","description_chars":3020,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T08:28:00Z"}],"visa":[],"liveness":{"score":48,"band":"ok","label":"Likely open","p_open":1,"p_active":0.51,"p_room":0.945,"age_days":8,"expected_fill_days":23,"reasons":["seen:8","agency","velocity","win:mid"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":37500,"is_top_pay":false},"html_url":"https://alion.io/job/user-experience-researchers-data-scientist","json_url":"https://alion.io/job/user-experience-researchers-data-scientist.json","meta":{"generated_at":"2026-10-22T19:21:27Z","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":2592,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":245891},"rest":"https://alion.io/mcp/rest/get_company?id=245891"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fuser-experience-researchers-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%2Fuser-experience-researchers-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%2Fuser-experience-researchers-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/user-experience-researchers-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fuser-experience-researchers-data-scientist"}]}