{"id":4224507,"url":"https://alion.io/job/moonfrog-labs-senior-data-scientist","title":"Senior Data Scientist","company":{"id":1023,"name":"Moonfrog Labs","domain":"moonfroglabs.com","url":"https://alion.io/company/moonfrog-labs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","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":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"AI Agents","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-11-13T07:12:02Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T07:12:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"PROBLEMS YOU WILL HELP SOLVE\nPersonalisation & recommendations - Recommend relevant challenges, rewards, offers and in-game experiences using player behaviour, context and preferences; evolve from broad segments toward individual-level personalisation.\nPotential payer & value prediction - Identify players likely to make a first purchase, estimate future player value (LTV) and support thoughtful decisions about when and how to engage different player groups.\nChurn prediction & retention - Detect early signs of disengagement, understand why players leave and develop models that help target meaningful retention interventions.\nPlayer economy & monetisation - Find opportunities across virtual currency, game modes, in-app purchases and ads while balancing monetisation with healthy gameplay and player experience.\nExperimentation & incremental impact - Use A/B tests and causal approaches to evaluate whether model-driven interventions actually improve outcomes, not just predictions.\nWHAT YOU WILL OWN:\nEnd-to-end applied ML - Frame product questions as measurable ML problems; develop features, train and evaluate models, and help operationalize scoring or recommendations.\nRigorous measurement - Choose suitable offline and online metrics; address rare outcomes, data leakage, bias, calibration and model drift; design trustworthy experiments and guardrails.\nCross-functional delivery - Partner closely with Product, Game Design, LiveOps, Analytics and Engineering to turn models into decisions, features and measurable results.\nClear communication - Explain trade-offs, insights and recommendations to both technical and non-technical stakeholders; help shape the data science roadmap.\nMOONFROG LABS · SENIOR DATA SCIENTIST\nWHAT WE ARE LOOKING FOR\nExperience - 4+ years in data science or applied machine learning, with evidence of taking models beyond notebooks into real product or business decisions.\nTechnical strength - Strong Python and SQL skills; practical experience with feature engineering, supervised learning, model evaluation and libraries such as scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow.\nStatistical judgment - Solid grounding in probability, statistics, experimentation and interpreting model performance for imbalanced classification, ranking or regression problems.\nExecution mindset - Comfort working with large behavioral/event datasets, ambiguous problems, iteration, version control and cloud environments such as AWS, Azure or GCP.\nProduct curiosity - An ability to connect technical results to player behavior, user experience and measurable business impact.\nGREAT TO HAVE\nDomain experience - Free-to-play/mobile gaming, consumer apps, recommendations, churn prevention, payer propensity, LTV forecasting or lifecycle marketing.\nAdvanced methods - Recommender systems, uplift modeling, contextual bandits, reinforcement learning, causal inference, deep learning or production ML/MLOps.\nEmerging technologies - Interest in applying LLMs or agentic AI to meaningful analytics or player-experience problems.","description_format":"text","description_chars":3050,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Games","Game Development"],"lifecycle":[{"event":"open","at":"2026-11-13T07:12:02Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:2","win:early"],"computed_at":"2026-11-13T09:22:19Z"},"pay":null,"html_url":"https://alion.io/job/moonfrog-labs-senior-data-scientist","json_url":"https://alion.io/job/moonfrog-labs-senior-data-scientist.json","meta":{"generated_at":"2026-11-13T09:22:19Z","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":19400,"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":1023},"rest":"https://alion.io/mcp/rest/get_company?id=1023"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmoonfrog-labs-senior-data-scientist"},{"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%2Fmoonfrog-labs-senior-data-scientist"},{"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%2Fmoonfrog-labs-senior-data-scientist"},{"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/moonfrog-labs-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmoonfrog-labs-senior-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4224507}},{"tool":"search_jobs","arguments":{"company":"moonfroglabs.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4224507},"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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