{"id":2314658,"url":"https://alion.io/job/gamblingcareers-com-data-scientist","title":"Data Scientist","company":{"id":4401392,"name":"GamblingCareers.com","domain":"gamblingcareers.com","url":"https://alion.io/company/gamblingcareers-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Las Vegas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":198000,"period":"year","method":"role_country_seniority_unknown","sample_n":2937},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-12T01:06:51Z","employer_posted_date":null,"last_verified_at":"2026-10-12T01:06:51Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Aristocrat is hiring an Advanced Insights Data Scientist to transform complex datasets into actionable insights that support commercial strategy and business decisions. The role develops and deploys data science models, analytics, and automation, collaborates on reporting and visualizations, and communicates findings and business impact.\n\nResponsibilities\nLeverage data science, machine learning, and advanced analytics to solve business problems and provide actionable insights\nPlan and complete complex projects using statistical applications, big data analyses, and machine learning\nDevelop innovative analytic solutions, models, and automation processes to support commercial strategy\nBuild and support data models, algorithms, and statistical analyses for meaningful insights\nStay updated on emerging data engineering technologies and trends, evaluating and implementing appropriate tools\nCollaborate with the BI team to improve reporting and visualizations for collaborators\nPartner with the Enterprise Data & Insights team to develop and deploy data science models\nProvide analytical commentary on industry trends and impacts\nPresent recommendations and results clearly to various audiences\nMeasure and report the impact of deployed models on business outcomes\n\nSkills\nBSc in mathematics, statistics, computer science, or equivalent experience in a related field\nAdditional training in Data Science, BI, Data Visualization, Analytics, Programming\nStrong knowledge of SQL, Python, R, Java, and/or CSS\nExperience with operationalizing ML models and basic MLOps/ CI-CD workflows\nProficiency with Tableau, Power BI, Looker, or other visualization tools\nUnderstanding of data management practices and the data lifecycle\nStrong communication abilities for participating in targeted conversations\nExcellent verbal, written, and communication skills for addressing audiences of varying sizes\n\nBenefits\nDepending on the position and location, eligibility for annual bonuses and incentive benefits.\nDepending on the position and location, health and wellbeing benefits.\nDepending on the position and location, retirement programs.\nDepending on the position and location, insurance coverage.\nDepending on the position and location, other local or statutory benefits.\nFlexible work environments.\n\nCompany Overview\nGamblingCareers.com is the leading job board for the iGaming and Online Gambling industry, dedicated to bridging the gap between talented job seekers and top employers in the sector. It was founded in 2016, and is headquartered in London, GB, with a workforce of 2-10 employees. 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