{"id":867976,"url":"https://alion.io/job/opennet-data-scientist","title":"Data Scientist","company":{"id":679163,"name":"Opennet","domain":"opennet.com","url":"https://alion.io/company/opennet-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":58,"open_postings":10,"ghost_share":0.7,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-02T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":64000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":345},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Recommender Systems","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"ChatGPT","optional":true},{"name":"Linux","optional":true},{"name":"Machine Learning","optional":true},{"name":"Metabase","optional":true},{"name":"MySQL","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-05-19T08:14:15Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-03T00:56:24Z","board_verified":true,"closed_at":null,"days_open":136,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":135},"description":"About OpenNet\nOpenNet is a fast-growing technology company with products reaching 20+ countries worldwide.\nWe bring together talented people who enjoy solving challenges, moving fast, and learning from one another. We value collaboration, flexibility, growth, and work-life balance - creating an environment where people can do great work and enjoy the journey along the way.\nWhat you'll be doing\nUtilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.\nConduct precise analysis of probability distributions in casino games, develop and validate mathematical models to ensure game fairness and risk control, supporting compliance operations and decision-making.\nContinuously explore and implement various applications of LLMs in business, from natural language processing to intelligent customer service and content generation, driving enterprises toward intelligent transformation.\nWork closely with various business units, leveraging data analysis and visualization tools to promote a data-driven decision-making culture, helping departments uncover insights from data and develop effective strategies.\nOur Stack \nMySQL (Must)\nPython (Good to have)\nAirFlow (Good to have)\nAWS (Good to have)\nMetabase (Good to have)\nRedshift (Good to have)\nLinux (Good to have)\nRequirement\nAbility to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models\n2+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role\nDegree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering\nKnowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods\nExperience with statistical and machine learning models, such as regression-based models (e.g., logistic)\nWe Care More About How You Work and Live\nSome things are simply essential: MacBook Pro, large monitor, Sony noise-cancelling headphones, snacks, coffee and fresh fruit. \n Some rewards are simply standard: holiday bonuses, , quarterly performance bonuses, and referral bonuses.\nBut what matters even more to us:\nFlexible work hours & hybrid work\nAnnual health check-ups, gym subsidy & monthly massages\nA nap room - because proper rest matters\nLearning & development allowance\nTeam lunches, employee clubs & activities\n12 weeks maternity leave & 14 days prenatal and paternity leave\nAnnual Company Retreat - from Dubai and Phuket to Bali, Vietnam and Cebu\nFully covered employee portion of Labor & National Health Insurance\nEnterprise AI tools, including ChatGPT\nGreat work matters. So does having a life outside of it. If that sounds like your kind of workplace, we’d love to meet you.","description_format":"text","description_chars":2933,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Apple Macbook","Flexible schedule","Health insurance","Hybrid work"],"hiring_locations":[{"name":"Taiwan","iso":"TW","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-13T14:46:32Z"}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.123,"p_room":0.28,"age_days":135,"expected_fill_days":16,"reasons":["conf:13","stale_co","ghost","win:tail","crowd:junior"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/opennet-data-scientist","json_url":"https://alion.io/job/opennet-data-scientist.json","meta":{"generated_at":"2026-10-03T04:39:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4881,"day_limit":5000,"remaining_today":119,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}