{"id":2424022,"url":"https://alion.io/job/nsearch-global-data-scientist","title":"Data Scientist","company":{"id":3802187,"name":"Nsearch Global","domain":"nsearchglobal.com","url":"https://alion.io/company/nsearch-global","size_band":"51-200","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":"junior","employment_type":"contractor","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":8000,"max":10000,"currency":"SGD","period":"month","gross":true,"usd_annual":93720},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-13T00:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Our client, one of Asia-Pacific’s leading organizations is looking for:\n\nData Scientist\n\nResponsibilities:\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.• Design 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 forward-deployed 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 agency engagements.\nRequirements:\nDegree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics or Information Systems preferred.\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.\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 nontechnical stakeholders.\n-----------------------------------------------------------------------------------------------------------------------------------\nInterested applicants can also email CV at  (for faster processing, please state the exact job / position title applied “Data Scientist\"\nOnly shortlisted candidates will be notified.\n-----------------------------------------------------------------------------------------------------------------------------------\nEA License Number: 10C3636\nEA Personnel Name: Chauhan, Asmita\nEA Personnel Registration Number: R1980706\nBy submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application.\nSkills\nMachine Learning, Ai, Git, DevOps, Data Pipeline, Pipeline Development, Artificial Intelligence, Software Engineering, Model Evaluation, Data Quality Assurance, Data Mining, SQL, LLMs, Python, Anomaly Detection, Data Science, Analytical Modelling, API, SQL Development, Operational Workflow","description_format":"text","description_chars":3628,"description_truncated":false,"requirements":{"experience_years_min":2,"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":"2026-10-13T06:32:30Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.538,"p_room":1,"age_days":2,"expected_fill_days":14,"reasons":["seen:2","agency","velocity","win:early","comp:junior"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":93720,"is_top_pay":false},"html_url":"https://alion.io/job/nsearch-global-data-scientist","json_url":"https://alion.io/job/nsearch-global-data-scientist.json","meta":{"generated_at":"2026-10-15T17:05:11Z","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":25827,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":3802187},"rest":"https://alion.io/mcp/rest/get_company?id=3802187"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnsearch-global-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%2Fnsearch-global-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%2Fnsearch-global-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/nsearch-global-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnsearch-global-data-scientist"}]}