{"id":2439307,"url":"https://alion.io/job/recruitment-room-junior-data-scientist","title":"Junior 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":"junior","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":["AS","WS"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":167000,"period":"year","method":"global_role_seniority_cell","sample_n":578},"experience_years_min":1,"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":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Junior Data Scientist\nEmployment Type: Contractor\nWork Arrangement: Remote\nEligible Locations: English-speaking countries\nCompensation\nHourly Rate: $150-$200 per hour\nAnnualized Full-Time Equivalent: $288,000-$384,000 per year\nThe annualized figure is based on 40 hours per week and 48 working weeks per year. It is for comparison only; actual earnings depend on project availability, tasks completed, and hours worked.\nAbout the Role\nWe are seeking Junior Data Scientists with strong quantitative skills to evaluate and improve AI model performance across data science, statistics, machine learning, experimentation, and quantitative reasoning.\nIn this remote contract role, you will assess AI-generated solutions, develop technical prompts and reference solutions, and identify statistical errors, flawed methodologies, and weaknesses in quantitative reasoning.\nThis opportunity is suited to data science and quantitative professionals with relevant industry experience, strong analytical judgment, and the ability to explain technical concepts clearly. Despite the junior title, the role requires rigorous technical evaluation and the ability to develop expert-level assessment materials.\nKey Responsibilities\nAI Model Evaluation\nEvaluate AI-generated outputs involving data science, statistics, machine learning, and quantitative problems.\n\nAssess the accuracy, validity, and methodological soundness of model responses.\n\nIdentify statistical errors, flawed assumptions, and weaknesses in quantitative reasoning.\n\nProvide structured feedback to help improve AI model capabilities.\n\nTechnical Prompt & Solution Development\nCreate challenging technical prompts covering data analysis, statistical reasoning, machine learning, and experimentation.\n\nDevelop relevant datasets and reference solutions for evaluating model performance.\n\nApply appropriate quantitative methods to verify the correctness of solutions.\n\nEnsure evaluation materials accurately reflect the intended problem and expected results.\n\nStatistical Analysis & Quality Assessment\nReview analytical approaches for methodological errors and statistical weaknesses.\n\nEvaluate the application of machine learning methods and experimental techniques.\n\nIdentify incorrect interpretations, unreliable conclusions, and gaps in quantitative reasoning.\n\nDocument findings and explain technical issues clearly.\n\nRequired Qualifications\nAt least one year of professional experience at a leading company in technology, finance, research, or a related field.\n\nAt least part of that professional experience must fall within the past three years.\n\nStrong knowledge of data science, statistics, machine learning, or quantitative analysis.\n\nProficiency in Python for data analysis and quantitative problem-solving.\n\nFamiliarity with tools such as pandas and relevant data modeling techniques.\n\nAbility to evaluate analytical methodologies and identify statistical errors.\n\nStrong written communication skills, particularly when explaining technical and statistical concepts.\n\nBased in an English-speaking country.\n\nKey Skills\nPython\n\nData Science\n\nMachine Learning\n\nStatistics\n\nData Analysis\n\nExperimentation\n\npandas\n\nData Modeling\n\nQuantitative Reasoning\n\nStatistical Methodology\n\nAI Model Evaluation\n\nTechnical Prompt Development\n\nReference Solution Development\n\nAnalytical Problem-Solving\n\nWritten Technical Communication\n\nWork Environment\nThis is a remote, hourly contract opportunity focused on evaluating AI models and developing technical assessment materials.\nYou will work on quantitative problems, review model-generated solutions, create reference materials, and provide structured feedback to improve the accuracy and reliability of AI systems.\nWhat Success Looks Like\nSuccess means accurately evaluating AI-generated solutions, identifying statistical and methodological weaknesses, and producing high-quality prompts, datasets, and reference solutions.\nYour work should demonstrate sound quantitative reasoning, 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