{"id":2439308,"url":"https://alion.io/job/recruitment-room-competitive-data-scientist","title":"Competitive Data Scientist","company":{"id":100174,"name":"Recruitment Room","domain":"recruitmentroom.net","url":"https://alion.io/company/recruitment-room","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":null,"employment_type":"contractor","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":["BB"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-13T10:50:00Z","employer_posted_date":null,"last_verified_at":"2026-10-13T10:50:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Competitive Data Scientist\nEmployment Type: Contractor\nWork Arrangement: Fully Remote\nEligible Locations: Global\nExpected Commitment: Approximately 15 hours per week\nSchedule: Flexible\nCompensation\nHourly Rate: $60-$120 per hour\nAnnualized Part-Time Equivalent: $46,800-$93,600 per year\nThe annualized figure assumes 15 hours per week and 52 weeks per year. It is for comparison only; actual earnings depend on project availability and hours worked.\nAbout the Role\nWe are seeking experienced Competitive Data Scientists with backgrounds in data science, machine learning, applied mathematics, or quantitative modeling, particularly those with experience in data science competitions such as Kaggle or DrivenData.\nYou will design challenging technical tasks that require sound mathematical reasoning, practical coding ability, and verifiable solutions. Your work will involve preparing reproducible environments, implementing reference solutions, developing reliable evaluation tests, and investigating how coding agents approach and solve complex problems.\nThis opportunity is suited to professionals who can go beyond producing plausible answers to demonstrate correctness through rigorous implementation, testing, and validation.\nKey Responsibilities\nTask Development & Environment Setup\nDesign challenging data science and machine learning tasks based on practical technical problems.\n\nBuild reproducible environments with the required data, dependencies, and configuration.\n\nImplement reference solutions that demonstrate correct approaches to assigned problems.\n\nDocument task requirements, assumptions, and expected outcomes clearly.\n\nTesting & Evaluation\nDevelop tests and evaluation criteria that distinguish correct solutions from incomplete or flawed approaches.\n\nVerify reference solutions and ensure results can be reproduced.\n\nEstablish reliable checks for assessing task completion and solution correctness.\n\nIdentify weaknesses in evaluation methods and improve them where necessary.\n\nCoding Agent Assessment\nRun coding agents against assigned tasks and investigate their performance.\n\nAnalyze failed attempts to understand errors in implementation, reasoning, or assumptions.\n\nRefine tasks based on observed agent behavior.\n\nIdentify data leakage, incorrect assumptions, implementation errors, and other factors that affect solution validity.\n\nTechnical Documentation & Quality Assurance\nExplain solution reasoning and verification procedures clearly.\n\nDocument relevant assumptions, implementation details, and testing steps.\n\nReview tasks for technical accuracy, reproducibility, and consistency.\n\nApply rigorous problem-solving and validation methods throughout the task development process.\n\nRequired Qualifications\nDemonstrated experience in data science, machine learning, quantitative modeling, applied mathematics, or relevant research competitions.\n\nExperience with competitive data science platforms such as Kaggle, DrivenData, or similar environments.\n\nStrong mathematical reasoning and analytical problem-solving skills.\n\nPractical programming ability sufficient to implement, test, and verify solutions independently.\n\nAbility to evaluate technical approaches and identify flawed assumptions or incorrect results.\n\nStrong understanding of the methods and techniques used in your area of expertise.\n\nPreferred Qualifications\nStrong programming experience, particularly in Python.\n\nExperience with software testing, debugging, and unfamiliar codebases.\n\nParticipation in data science or machine learning competitions through platforms such as Zindi, AIcrowd, Numerai, DataSource.ai, or CodaLab/Codabench.\n\nExperience developing reproducible computational environments and reference implementations.\n\nFamiliarity with evaluating coding agents and diagnosing failures in generated code.\n\nKey Skills\nCompetitive Data Science\n\nMachine Learning Engineering\n\nData Science\n\nApplied Mathematics\n\nQuantitative Modeling\n\nPython Programming\n\nCoding and Debugging\n\nReference Solution Development\n\nReproducible Environments\n\nTesting and Validation\n\nEvaluation Criteria Design\n\nCoding Agent Evaluation\n\nData Leakage Detection\n\nStatistical Reasoning\n\nAlgorithmic Problem-Solving\n\nTechnical Documentation\n\nQuality Assurance\n\nWork Environment\nThis is a fully remote, hourly contract opportunity with an expected commitment of approximately 15 hours per week.\nThe schedule is flexible, allowing you to choose your working hours and days, including weekends if preferred. Work focuses on developing technical tasks, implementing and verifying solutions, and evaluating coding agent performance.\nWhat Success Looks Like\nSuccess means creating challenging, reproducible data science tasks with verified reference solutions and reliable evaluation criteria.\nYour work should make it possible to distinguish genuinely correct solutions from plausible but flawed approaches, while identifying implementation errors, data leakage, and weaknesses in coding agent performance.","description_format":"text","description_chars":4976,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Barbados","iso":"BB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T11:38:17Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":1,"expected_fill_days":27,"reasons":["seen:1","agency","velocity","win:early","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/recruitment-room-competitive-data-scientist","json_url":"https://alion.io/job/recruitment-room-competitive-data-scientist.json","meta":{"generated_at":"2026-10-15T13:20:32Z","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":20638,"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":100174},"rest":"https://alion.io/mcp/rest/get_company?id=100174"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frecruitment-room-competitive-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%2Frecruitment-room-competitive-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%2Frecruitment-room-competitive-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/recruitment-room-competitive-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frecruitment-room-competitive-data-scientist"}]}