Full-Time
Data Scientist
Analytics
Posted on 8/10/2025
Meta
10,001+ employees
Global social networks and advertising platform
Compensation Overview
$209.7k - $235.4k/yr
No H1B Sponsorship
New York, NY, USA
In Person
For those who live in or expect to work from California if hired for this position.
 Data & Analytics (1) |
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- Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2 years of work experience in the job offered or in a computer-related occupation.
- Requires 1 year of experience in the following: 1. Applied statistics, including causal inference and experimentation (i.e. AB testing) in an industry setting, especially for complex multi-sided ecosystems and/or low sample size environments 2. Complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex dataset 3. Development in any scripting language (PHP, Python, Perl, etc.) 4. Exploratory analysis and market sizing to inform development of new product strategy 5. Communicating the results of analyses and aligning cross-functional teams to influence the strategy 6. Providing analytical support in 1+ of these backgrounds: B2B/Enterprise companies, Advertising Technology/Digital Advertising, Financial Technology, Platforms/Marketplaces, Front-end tools for business customers, Quantitative Consulting and 7. One or more of these types of analytics: Back-end quality/Performance & Reliability, Risk and Integrity, Infrastructure system design, Marketing Analytics.
- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
- Inform, influence, support, and execute our product decisions and product launches.
- The Data Scientist Analytics role has work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics.
- Exploratory Analysis: Proposing what to build in the next roadmap, Understanding ecosystems, user behaviors, and long-term trends, Identifying new levers to help move key metrics, Building models of user behaviors for analysis or to power production systems.
- Product Leadership: Influencing product teams through presentation of data-based recommendations, Communicating state of business, experiment results, etc to product teams, Spreading best practices to analytics and product teams, Leading cross-functionally on defining and executing on analyses, including across other data scientists, data engineers, software engineers, user researchers, and others.
- Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.
Meta Platforms Inc. runs a family of social apps including Facebook, Instagram, and WhatsApp to help people connect, share content, and participate in online communities. It also develops virtual reality hardware and experiences through Oculus and is exploring the metaverse. Most revenue comes from advertising, with tools that let businesses target audiences using data from its large user base, plus VR product sales and digital services. The company differentiates itself by owning multiple major social platforms, offering a scalable cross-platform ad platform, and investing in VR, AR, and AI to expand digital experiences and monetization opportunities.
Company Size
10,001+
Company Stage
IPO
Headquarters
Menlo Park, California
Founded
2004
Simplify's Take
What believers are saying
- Q1 2026 revenue surged 33% to $56.3B from AI-driven ad placement improvements.
- $1B Beaver Dam data center approved with 220MW power for 10 years from 2027.
- Stock trades at 19x forward earnings discount to S&P 500 after 20% dip.
What critics are saying
- UK Ofcom imposes $20B fines under Online Safety Act using 10% global revenue.
- Publishers win Llama AI lawsuit, forcing $1B+ damages by mid-2028.
- TikTok erodes Instagram engagement, slashing ad growth to single digits by May 2027.
What makes Meta unique
- Meta integrates AI on Threads for real-time trend queries like World Cup discussions.
- Meta deploys AI to detect underage users via height and bone structure analysis.
- Meta owns Facebook, Instagram, WhatsApp with 97.8% ad revenue in 2023.
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Benefits
Stock Options
Company Equity
Mental Health Support
Flexible Work Hours
Company News
Opposition to data centres has become a significant issue ahead of the US midterm elections, with voters unseating local politicians who support them. Residents cite concerns over water pollution, noise, power demands and environmental degradation. In Missouri, four city council members lost their seats over supporting a $6 billion data centre. Similar ousters occurred in Independence, Missouri, and rural North Carolina. The backlash crosses party lines, prompting state legislatures nationwide to consider bills ranging from eliminating tax incentives to construction moratoriums. Despite generating substantial tax revenue and construction jobs, communities increasingly resist these developments. Virginia, which has the most data centres, is considering eliminating sales tax exemptions worth $1.9 billion. President Trump has acknowledged affordability concerns whilst supporting development, though his proposals lack enforcement mechanisms.
Meta is raising prices for its Quest VR headsets by $50–$100 (12–20%) from 19 April, citing a global surge in memory chip prices affecting consumer electronics. However, Meta's own spending priorities have contributed to this component shortage. The company plans to spend $115–$135 billion on capital expenditures this year, up from $72 billion in 2025 and $28 billion in 2023, with most investment directed towards AI infrastructure. This includes $21 billion for data centre company CoreWeave and $10 billion for an El Paso data centre. Meta's AI spending forms part of $630 billion in industry-wide AI infrastructure investment pledged for 2026, driving up prices for RAM and GPUs. Meanwhile, Meta is reportedly planning spending cuts of up to 30% for its metaverse division, which has accumulated $73 billion in losses.
Meta and Broadcom have announced a strategic partnership under which the chipmaker will provide technology supporting Meta's training and inference accelerator chips through 2029. The deal extends Meta's custom AI chip development plans as the social media giant continues to invest in artificial intelligence infrastructure.
Meta and Broadcom have announced an extended partnership through 2029 for designing Meta's custom AI accelerators. Meta has committed to deploying one gigawatt of its training and inference accelerators under the agreement. The deal expands an existing collaboration between the two companies focused on Meta's in-house chip development. As part of the arrangement, Broadcom CEO Hock Tan has agreed to leave Meta's board of directors. Broadcom shares rose 3% in extended trading following the announcement. The partnership underscores Meta's continued investment in custom silicon to power its artificial intelligence infrastructure and reduce reliance on third-party chip suppliers.
Broadcom and Meta have announced a multi-year strategic partnership to support Meta's AI compute infrastructure through 2029. The collaboration centres on Meta Training and Inference Accelerator (MTIA) chips, with an initial deployment exceeding one gigawatt as part of a sustained multi-gigawatt rollout. The partnership will deliver what the companies call the industry's first 2nm AI compute accelerator. Broadcom will provide its XPU platform for chip co-development and advanced Ethernet technologies for networking across Meta's expanding AI compute clusters. The technology will underpin Meta's deployment of generative AI features across WhatsApp, Instagram and Threads. Meta aims to deliver what it calls "personal superintelligence" to billions of users globally. Broadcom CEO Hock Tan will transition from Meta's board to an advisory role focusing on Meta's custom silicon roadmap.