{"id":3575190,"url":"https://alion.io/job/playsimple-games-lead-data-scientist-2","title":"Lead Data Scientist","company":{"id":2927,"name":"Playsimple Games","domain":"playsimple.in","url":"https://alion.io/company/playsimple-games","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":68000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"n8n","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-31T17:29:57Z","employer_posted_date":null,"last_verified_at":"2026-10-31T17:29:57Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Role \n\nLead Data Scientist – AI & Decision Science\n\nWork Location & Policy\nBengaluru | 5 Days Work From Office (Mandatory)\nThis role requires working from our Bengaluru office five days a week (Monday–Friday). We are not considering remote or hybrid arrangements for this position.\nPlease apply only if you are comfortable with a full-time in-office setup.\n\nJob Summary\nWe are looking for a Lead Data Scientist to build intelligent, data-driven products that improve player experience and business performance across our gaming portfolio. You will work closely with Product Managers, Engineers, and Analysts to solve challenging business problems using statistics, optimization, experimentation, and Machine Learning. You will own projects from ideation through production deployment while mentoring junior data scientists and helping establish best practices across the team.\n\nResponsibilities\nBuild Machine Learning models supporting personalization, recommendations, LiveOps, monetization, and player engagement.\nDesign and analyze experiments using robust statistical methodologies.\nDevelop predictive models including player segmentation, churn prediction,LTV estimation, and revenue forecasting.\nApply optimization techniques to improve player experiences and business outcomes.\nTranslate business problems into scalable AI solutions.\nBuild production-ready ML pipelines together with engineering teams.\nPartner with Product and Engineering to evaluate business impact.\nMentor junior Data Scientists.\nStay current with advances in AI, Machine Learning, and Decision Science.\n\nQualifications\nBachelor's or Master's degree in Computer Science, Statistics, Mathematics,Artificial Intelligence, Data Science, Engineering, or a related field.\n\nRequirements\n5–8 years of experience in Data Science or Applied Machine Learning.\nStrong product experience in Gaming, Consumer Internet, E-commerce,Marketplace, or Decision Science platforms.\nDemonstrated experience deploying Machine Learning solutions into production.\nStrong understanding of:\no Statistics\no Machine Learning\no Bayesian Methods\no Experimental Design\no Optimization\no Predictive Modeling\nExperience working with Apache Spark.\nStrong conceptual understanding of Agentic AI, LLM applications, and workflow automation tools such as n8n.\nStrong Python and SQL programming skills.\nExperience working with cloud-based ML environments.\nExcellent communication and collaboration skills.\nAn avid gamer with a passion for understanding player behaviour and game mechanics.\n\nWhat We Look For\nStrong analytical thinking.\nProduct mindset.\nExcellent problem-solving ability.\nOwnership and execution focus.\nAbility to collaborate 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