{"id":1562798,"url":"https://alion.io/job/meta-data-scientist-product","title":"Data Scientist, Product","company":{"id":20,"name":"Meta","domain":"meta.com","url":"https://alion.io/company/meta","size_band":"5000+","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":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":21910,"max":30250,"currency":"SGD","period":"month","gross":true,"usd_annual":284376},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Context Engineering","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-01T00:00:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Meta is seeking a Data Scientist to operate at the forefront of product intelligence, shaping how billions of people experience Meta's family of apps and platforms. In this role, you will serve as a company-level expert in product data science, partnering with product, engineering, and business leaders to define strategy, uncover high-impact opportunities, and drive decisions that influence the direction of Meta's core products. You will pioneer analytical frameworks, experimental designs, growth strategies, and establish best practices that elevate data science across the organization.\nResponsibilitiesDefine and drive the analytical strategy for complex, ambiguous product areas, translating business questions into rigorous research designs and measurable hypotheses\nDevelop and own advanced predictive and causal models that generate actionable product insights at scale, serving as an industry-level expert in model design and evaluation\nEstablish and champion organization-wide standards for data preparation, visualization, and self-service analytics interfaces that enable cross-functional decision-making\nSynthesize outputs from statistical models, experimentation frameworks, and qualitative analyses into clear, data-driven narratives tailored to executive and cross-functional stakeholders\nIdentify and size strategic product opportunities by evaluating business impact, prioritizing across competing initiatives, and aligning analytical investments with long-term product goals\nCollaborate with product, engineering, design, and operations partners to co-develop success metrics, monitor operational performance, and track trends that inform future-focused product strategy\nPioneer novel applications of forecasting, machine learning, and experimentation methodologies to solve previously intractable product problems and drive organization-wide adoption\nBuild and maintain production-quality data pipelines and analytical codebases, ensuring reliability, efficiency, data privacy compliance, and scalability\nServe as a recognized internal thought leader and trusted advisor across multiple product and business areas, influencing key leaders and shaping functional data science strategy\nMentor other data scientists and cross-functional partners by sharing analytical frameworks, reviewing methodologies, and developing shared tools and resources that raise the overall quality of data science practice\nMinimum Qualifications12+ years of experience in data science, applied statistics, or a related quantitative field within a product or technology organization\nExperience designing and executing end-to-end research plans including hypothesis formulation, data collection strategy, statistical modeling, and stakeholder communication for large-scale product decisions\nExperience developing and evaluating predictive models, causal inference frameworks, and experimentation methodologies (such as A/B testing and quasi-experimental designs) at production scale\nExperience writing and maintaining production-quality code in Python, SQL, or equivalent languages, including data pipeline development and statistical analysis\nExperience influencing product or business strategy through data-driven narratives delivered to executive and cross-functional audiences\nPreferred QualificationsDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)\nExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)\nDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies\nExperience establishing data science standards, reusable frameworks, or self-service analytics platforms adopted broadly across an organization or business domain\nExperience applying machine learning or advanced forecasting methods to product growth, engagement, monetization, or user behavior problems at internet scale\nExperience partnering with product and engineering leaders to define long-term roadmaps and translate ambiguous strategic questions into structured analytical programs\nExperience in causal inference techniques such as difference-in-differences, instrumental variables, or synthetic control methods applied to observational product data\n\nMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.\nSkills\nQualitative Analysis, Financial and Investment Planning, Research Strategy, Resolving Product Problems, AI Ethics, Collaboration, Technology Expertise, Data Pipeline, Business Research, A/B testing, Applied Statistics, Narrative Design in Product Development, integrated workflow, Context Engineering, Production Databases, Analysis Services","description_format":"text","description_chars":5404,"description_truncated":false,"requirements":{"experience_years_min":12,"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":["Advertising","Virtual & Augmented Reality","Digital Media","Foundation Models"],"lifecycle":[{"event":"open","at":"2026-10-01T04:00:48Z"}],"visa":[],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.88,"p_room":1,"age_days":5,"expected_fill_days":28,"reasons":["seen:5","velocity","win:early"],"computed_at":"2026-10-06T05:45:30Z"},"pay":{"stated_usd_annual":284376,"is_top_pay":true},"html_url":"https://alion.io/job/meta-data-scientist-product","json_url":"https://alion.io/job/meta-data-scientist-product.json","meta":{"generated_at":"2026-10-07T02:24:01Z","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","counted_by":"address","units_charged":1,"used_today":4000,"day_limit":5000,"remaining_today":1000,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"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":20},"rest":"https://alion.io/mcp/rest/get_company?id=20"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmeta-data-scientist-product"},{"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%2Fmeta-data-scientist-product"},{"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%2Fmeta-data-scientist-product"},{"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/meta-data-scientist-product\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmeta-data-scientist-product"}]}