{"id":2117707,"url":"https://alion.io/job/mdotm-data-scientist","title":"Data Scientist","company":{"id":3882794,"name":"Mdotm","domain":"mdotm.ai","url":"https://alion.io/company/mdotm-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"C","score":60,"open_postings":18,"ghost_share":0.667,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milan, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":79000,"period":"year","method":"role_country_seniority_unknown","sample_n":87},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Java","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-04-08T00:00:00Z","employer_posted_date":"2026-04-08","last_verified_at":"2026-10-13T20:07:13Z","board_verified":true,"closed_at":null,"days_open":188,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":188},"description":"Role Overview\nWe are seeking a Data Scientistto join our Research and Development Teamin Milan.\nThis role is designed for someone who thrives at the intersection of advanced mathematics, machine learning, and scalable coding.\nWorking within a collaborative team of scientists and engineers, you will focus on developing the AI modelsthat are at the core of everything we do. You’ll be joining a mission where we have been pioneering and evolving these proprietary models for more than a decade, driving the innovation that powers our fintech solutions.\nWhether you are a seasoned researcher or a brilliant profile with a passion for AI, your contribution will directly impact our investment strategies and internal modeling tools.\nWe are looking for a creative problem solver who thrives on technical challenges. You don't necessarily need to be a finance expert, but you must be curious enough to master how financial data behaves.\nKey Responsibilities\nDesign, build, and optimize end-to-end AI pipelines for predictive and prescriptive analytics in financial markets, leveraging modern techniques such as large language models (LLMs), statistical modeling, and probabilistic methods. This includes proficiency in integrating LLMs into research workflows and orchestrating data pipelines.\nFormulate hypotheses, identify intermediate milestones, and meet deadlines for long-term ambitious research goals.\nOwn the full model lifecycle, from data selection and representation to deployment and performance tuning.\nDevelop and execute rigorous validation frameworks (e.g., backtesting, walk-forward analysis) to ensure robustness and statistical reliability.\nConduct in-depth research by formulating testable hypotheses and driving progress toward long-term R&D goals.\nBuild and maintain automated systems to monitor data quality, model health, and detect drift or instability.\nCollaborate with other technical teams to ensure seamless integration between data pipelines and modeling logic.\nResearch and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process\nApply \"divergent thinking\" to overcome technical bottlenecks and optimize data retrieval and processing workflows.\nRequirements\nDegree in Mathematics, Physics, Machine Learning, Computer Science, or other quantitative fields.\nPython skills are required to independently design and implement solutions.\nExperience using LLMs to accelerate development is welcome, alongside critical thinking to rigorously test and validate generated code for correctness and robustness.\nStrong grasp of programming logic and software development principles.\nExperience with statistical modeling and techniques such as bagging, random forests, hyperparameter optimization, time series analysis, and signal processing.\nThe ability to approach problems from different angles and find creative, efficient solutions.\nFluent in English (both spoken and written).\nBonus Points\nProfessional experience or proficiency in Java.\nAbility to understand financial data concepts (prices, yields, corporate actions) to ensure technical structures align with financial 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