{"id":35205,"url":"https://alion.io/job/sony-interactive-entertainment-data-scientist-measurement-experimentation-causal-inference","title":"Data Scientist - Measurement, Experimentation & Causal Inference","company":{"id":51674,"name":"Sony Interactive Entertainment","domain":"sonyinteractive.com","url":"https://alion.io/company/sony-interactive-entertainment","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":35,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":217000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Databricks","optional":false},{"name":"Domo","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-07-28T12:51:18Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-30T08:06:25Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":93},"description":"Why Sony Interactive Entertainment?\nSony Interactive Entertainment isn’t just the Best Place to Play - it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.\nRole Overview:\nAs a Data Scientist, you will help measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science.\nWorking at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision-making across PlayStation.\nThis role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights.\nThis is an opportunity to work on high-impact initiatives affecting millions of PlayStation players while developing your expertise in experimentation, causal inference and applied data science.\nWhat You'll Be Doing:\nApply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives.\nDesign and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical.\nApply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights.\nApply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions.\nContribute to the development and adoption of best practices for experiment design, statistical analysis and causal measurement.\nPartner closely with product managers, engineers, analysts and business stakeholders to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence.\nCollaborate with engineering teams by providing feedback on experimentation and measurement capabilities to improve tooling and workflows.\nDevelop reusable analytical solutions, dashboards and code that improve the quality, consistency and efficiency of measurement.\nCommunicate analytical findings and recommendations clearly to technical and non-technical stakeholders.\nStay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows.\nContribute to a culture of evidence-based decision-making by sharing knowledge, collaborating across teams and promoting analytical best practices.\nWhat We're Looking For:\nRequired:\nMaster's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred.\n3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems.\nGood understanding of experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches.\nExperience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights.\nStrong proficiency in Python and SQL for analytical workflows.\nExperience developing robust analytical solutions using sound statistical principles and software engineering best practices.\nStrong stakeholder management and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.\nCuriosity, creativity and a pragmatic approach to solving ambiguous business problems.\nA collaborative mindset with a passion for continuous learning and improving analytical capabilities.\nPreferred:\nExperience working in gaming, digital products, consumer technology, e-commerce or subscription businesses.\nFamiliarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow.\nExperience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI.\nExperience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity.\nExperience developing reusable analytical frameworks, libraries or internal tooling.\nExperience presenting analytical findings and recommendations to cross-functional stakeholders.\nWhat You'll Influence:\nMeasurement for PlayStation's product and commercial initiatives.\nHigh-quality experimentation and causal inference across product and business teams.\nProduct and commercial decisions through rigorous analytical evidence.\nThe continued evolution of PlayStation's measurement and experimentation capabilities.\nWhy You'll Love This Role:\nHelp shape how PlayStation measures product and commercial success across a global business.\nWork on challenging real-world problems using experimentation, causal inference and machine learning.\nCollaborate with talented scientists, engineers and product teams on high-impact initiatives.\nLearn from experienced data scientists while developing your expertise in modern measurement and experimentation.\nContribute to the adoption of evidence-based decision-making across PlayStation.\nContinue growing your technical and business skills in a collaborative, supportive environment.\nBenefits:\nDiscretionary bonus opportunity\nHybrid Working (FlexModes)\nPrivate Medical Insurance\nDental Scheme\n25 days annual leave\nOn-site gym\nSubsidised café\nComplimentary soft drinks\nOn-site bar\nSecure cycle storage and shower facilities\nPlease note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.\nPlease refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.\nEqual Opportunity Statement:\nSony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.\nWe strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. \nSony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.","description_format":"text","description_chars":7633,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Continuous learning","Health insurance","Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Gaming","Media & Entertainment","Console Games","Game Development"],"lifecycle":[{"event":"open","at":"2026-07-28T12:51:18Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; Global Business Mobility: Senior or Specialist Worker","cap_exempt":false,"checked_at":"2026-10-30T06:20:16+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.454,"p_room":0.36,"age_days":93,"expected_fill_days":52,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/sony-interactive-entertainment-data-scientist-measurement-experimentation-causal-inference","json_url":"https://alion.io/job/sony-interactive-entertainment-data-scientist-measurement-experimentation-causal-inference.json","meta":{"generated_at":"2026-10-30T11:46:46Z","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":16893,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":51674},"rest":"https://alion.io/mcp/rest/get_company?id=51674"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsony-interactive-entertainment-data-scientist-measurement-experimentation-causal-inference"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fsony-interactive-entertainment-data-scientist-measurement-experimentation-causal-inference"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fsony-interactive-entertainment-data-scientist-measurement-experimentation-causal-inference"},{"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/sony-interactive-entertainment-data-scientist-measurement-experimentation-causal-inference\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsony-interactive-entertainment-data-scientist-measurement-experimentation-causal-inference"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":35205}},{"tool":"search_jobs","arguments":{"company":"sonyinteractive.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":35205},"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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