{"id":3862247,"url":"https://alion.io/job/aristocrat-leisure-data-scientist-3","title":"Data Scientist","company":{"id":8402,"name":"Aristocrat Leisure","domain":"aristocrat.com","url":"https://alion.io/company/aristocrat","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":21,"ghost_share":0.048,"stale_share":0.429,"repost_share":0.238,"time_to_fill_p50_days":37,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-06T10:12:43Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-13T06:06:06Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"At Product Madness, we create mobile games that bring entertainment to players around the world. Data plays an important role in understanding player needs, improving gaming experiences, and making informed business decisions.\nJoin our collaborative team, where your ideas and expertise will help us explore new opportunities, solve meaningful challenges, and shape the future of mobile gaming.\nThe Role\nAs a Data Scientist at Product Madness, you will use data analysis, forecasting, and predictive modelling to better understand player behaviour, solve business challenges, and improve gaming experiences.\nYou will contribute to projects dedicated to player involvement, retention, and revenue. You will also help develop analytical tools and machine learning solutions that support informed decisions and create more personalised experiences for our players.\nWorking with a variety of datasets, you will take ownership of clearly defined analytical and modelling tasks while learning from experienced data scientists on more complex projects. You will collaborate with game developers, data analysts, product managers, and game operations teams to translate data into meaningful insights and practical improvements.\nWhat You'll Do\nExplore business challenges, develop hypotheses, choose suitable analytical methods, and deliver data-driven solutions with support from experienced colleagues when needed.\nDevelop, test, and improve predictive algorithms and artificial intelligence techniques to improve player experiences, engagement, retention, and revenue. \nApply statistical analysis, forecasting, predictive modelling, and simulation to understand player behaviour and business performance.\nSupport A/B testing and experiments by selecting relevant metrics, analysing results, and sharing findings that guide business decisions.\nCreate analytical models, simulations, and tools that help teams make informed decisions and find opportunities for improvement.\nPrepare, validate, and explore large datasets to uncover trends, patterns, and insights that support business goals.\nWork with senior data scientists, Data Engineering, and MLOps teams to develop and integrate analytical models and machine learning solutions into business processes.\nShare findings with collaborators, explain key insights and limitations, and offer practical recommendations.\nContribute to a supportive team environment by documenting your work, participating in peer reviews, sharing knowledge, and developing your technical skills.\nWhat We're Looking For\nMSc or PhD in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or possessing equivalent experience.\n1+ years of professional experience in data science, machine learning, or quantitative analytics, with practical experience delivering analytical or modelling projects.\nStrong foundation in statistics, probability, descriptive analysis, and statistical inference.\nPractical experience in exploratory data analysis, data preparation, and working with large datasets.\nExperience developing and evaluating predictive or machine learning models, including regression, classification, or clustering.\nUnderstanding of statistical modelling, forecasting, and simulation techniques.\nFamiliarity with hypothesis testing, split testing, and experimental analysis. \nWorking knowledge of Python for data analysis and modelling, including common libraries such as pandas, NumPy, and scikit-learn.\nAbility to write SQL queries to extract, join, transform, and aggregate data.\nBasic understanding of software development practices, including version control, testing, and documentation.\nExperience using AI assistants to support coding, analysis, and other professional tasks, with appropriate validation of outputs.\nIf you’re passionate about demonstrating data science to create exceptional gaming experiences and are ready to lead data products to success, we want to hear from you. Join Product Madness and contribute to the evolution of mobile gaming!\nThis job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.\nCompensation Philosophy\nWe offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location. \nDepending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits. \nSpecific details about compensation and benefits for this position will be discussed during the recruitment process.","description_format":"text","description_chars":5023,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual bonuses","Insurance coverage","Retirement plans"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Games","iGaming & Gambling"],"lifecycle":[{"event":"open","at":"2026-11-06T10:12:43Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":37,"reasons":["conf:2","velocity","win:early","comp:junior,brand"],"computed_at":"2026-11-12T10:38:37Z"},"pay":null,"html_url":"https://alion.io/job/aristocrat-leisure-data-scientist-3","json_url":"https://alion.io/job/aristocrat-leisure-data-scientist-3.json","meta":{"generated_at":"2026-11-13T18:32:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":37082,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8402},"rest":"https://alion.io/mcp/rest/get_company?id=8402"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faristocrat-leisure-data-scientist-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Faristocrat-leisure-data-scientist-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Faristocrat-leisure-data-scientist-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/aristocrat-leisure-data-scientist-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faristocrat-leisure-data-scientist-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3862247}},{"tool":"search_jobs","arguments":{"company":"aristocrat.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3862247},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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