{"id":2182657,"url":"https://alion.io/job/viaduct-data-scientist","title":"Data Scientist","company":{"id":8444,"name":"Viaduct","domain":"viaduct.ai","url":"https://alion.io/company/viaduct","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ljubljana, Slovenia","Slovenia"],"countries":["SI"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Argo Workflows","optional":false},{"name":"AWS","optional":false},{"name":"ClickHouse","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLlib","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-09T13:36:52Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-17T00:47:11Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"At Viaduct, we are developing an end-to-end AI-powered machine learning platform to empower industry to build safer, more intelligent, and reliable assets. Our platform increases the accessibility and actionability of connected asset data for industry, their partners and end-customers. We are a diverse team motivated to solve the hardest problems in the asset performance management sphere.\nWho You Are\nYou are motivated by real-world problems and enjoy working with stakeholders to solve their biggest challenges. You are excited by opportunities to deliver value by turning data science into actionable business and technology insights.\nExpected Skills\nStrong machine learning and statistical analysis skills\nComfort working side-by-side with customers\nStrong presentation skills communicating technical concepts to non-technical audiences\nFamiliarity with working on datasets that don't fit within a single machine\nSelf-motivated and able to work independently\nExcellent spoken and written communication skills\nMinimum of advanced degree (M.S.) in a data science-related field and 2+ years of experience in a related field\nProficiency in Python and SQL\nHands-on experience with ML libraries (scikit-learn, xgboost, MLlib, etc.)\nFamiliarity with deep learning libraries (Tensorflow, Keras, PyTorch, etc.)\nWorking knowledge of distributed/cloud compute platforms (AWS, Hive, Clickhouse, Argo-workflows, etc.)\nDeveloping agentic workflows\nExperience deploying and maintaining data pipelines and DS-backed product features\nAbout the Role\nDay 5 \nLearn about Viaduct’s history and mission\nGet to know every team member\nSet up your development environment \nUnderstand Viaduct’s data pipelines and data science workflow\nLearn about our current partners, their biggest needs, and the gaps they're looking for us to fill\nDay 30\nPresent your first deliverables internally\nScope-out and propose improvements to our products\nDeploy improvements to our ML/Agentic pipelines\nPresent your work at our weekly team meetings\nDay 90\nBe a thought leader on the data science team\nDeploy world-class DS-based products and services\nCollaborate with engineers on improvements to data science tooling\nPresent your models and relevant metrics to stakeholders\nSecurity and Privacy Responsibilities\nFollow our policy and procedure documents related to security and privacy\nFollow the guidelines in the Employee Handbook\nParticipate in new hire and annual training for security and privacy\nTreat data 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