{"id":3176885,"url":"https://alion.io/job/synthires-ai-research-scientist","title":"AI Research Scientist","company":{"id":4460993,"name":"Synthires","domain":"synthires.com","url":"https://alion.io/company/synthires","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":10500,"max_usd":27000,"period":"year","method":"role_seniority_country_cell","sample_n":20},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false}],"status":"live","first_seen_at":"2026-10-23T17:37:07Z","employer_posted_date":null,"last_verified_at":"2026-10-23T17:37:07Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Applied Scientist\n\nPosition: Applied Scientist\n\nType: Contractor\n\nCompensation: $245–$280/hour\n\nLocation: Remote\n\nAbout the Opportunity\nWe are seeking skilled Applied Scientists to contribute to a data-driven project focused on advanced analytics, statistical analysis, and experimentation. In this role, you will apply your expertise in Python, machine learning, and applied statistics to help train and evaluate next-generation AI systems.\nYour work will help improve how AI models learn, reason, and perform by providing high-quality, real-world expertise. The opportunity emphasizes quantitative problem-solving, experimentation, and clear technical communication. Prior AI experience is not required; relevant domain expertise is what matters.\n\nKey Responsibilities\nDesign and conduct statistical analyses to uncover actionable insights from complex datasets.\nDevelop, validate, tune, and evaluate machine learning models for business and research objectives.\nApply data modeling techniques and manage large-scale data transformations using Python and Pandas.\nCollaborate with stakeholders to establish experimentation frameworks and analyze results.\nDocument methodologies, findings, and recommendations through clear, precise analytical reports.\nReview peer contributions and provide constructive, high-quality feedback.\nDeliver reproducible code and well-organized analytical reports.\nEvaluate AI-generated outputs involving statistics, machine learning, experimentation, and quantitative reasoning.\nCreate expert-level prompts, datasets, and reference solutions.\nIdentify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.\nProvide structured feedback to improve AI model performance and capabilities.\nRequired Qualifications\nProficiency in Python for data analysis, statistical computing, and machine learning.\nExperience with Pandas and familiarity with machine learning libraries such as scikit-learn.\nDemonstrated knowledge of applied statistics, experimental design, and machine learning.\nExperience developing, tuning, and evaluating machine learning models in practical settings.\nStrong data modeling skills and experience working with structured and unstructured data.\nExcellent written and verbal communication skills.\nAbility to produce reproducible code, precise technical documentation, and clear analytical reports.\nPreferred Qualifications\nAt least one year of experience at a leading company in technology, finance, or research.\nAn advanced academic background or hands-on experience in data science, applied mathematics, statistics, or a related field.\nExperience collaborating on open or cross-functional data science projects.\nStrong analytical judgment and the ability to assess complex quantitative problems.\nCompensation & Engagement\nCompensation: $245–$280 per hour.\nEngagement Type: Contractor.\nWork Arrangement: Fully remote.\nProject Focus: Applied science, advanced analytics, machine learning, statistical analysis, and experimentation.","description_format":"text","description_chars":3003,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-23T20:09:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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