Analytics Engineer - X

X AI
Palo Alto
Workplace: OnsiteFull timeUSD 180,000 - 440,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Collaboration","Mentoring","Prioritization"]

Build and maintain robust data pipelines and analytical infrastructure that power quantitative decision-making at global scale. You’ll design end-to-end processing for high-volume datasets using tools like Spark and streaming frameworks, develop statistical and predictive models for experimentation and forecasting, and partner with product and operations teams to deliver production-grade insights. The role includes running A/B tests and causal analyses, plus implementing monitoring and automation for reliable, real-time decision support.

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FursaFursa
X AI
X AI
1 day ago

Analytics Engineer - X

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and maintain robust data pipelines and analytical infrastructure that power quantitative decision-making at global scale. You’ll design end-to-end processing for high-volume datasets using tools like Spark and streaming frameworks, develop statistical and predictive models for experimentation and forecasting, and partner with product and operations teams to deliver production-grade insights. The role includes running A/B tests and causal analyses, plus implementing monitoring and automation for reliable, real-time decision support.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and optimize end-to-end data pipelines for high-volume datasets using tools such as Spark, Kafka, and Flink.
  • •Develop quantitative models and statistical frameworks for experimentation, forecasting, and performance measurement.
  • •Build and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows.
  • •Collaborate with product engineering, product, and operations teams to translate business requirements into production-grade data systems and insights.
  • •Conduct A/B tests, causal analysis, and performance evaluations to drive improvements in key metrics.

Pay and Benefits

Salary: USD 180,000 - 440,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceVisionDental401kDisability InsuranceLife InsuranceEquity

Key Requirements

  • •4+ years of experience building production data pipelines and infrastructure at scale.
  • •Strong proficiency in Python and SQL, and distributed computing frameworks such as Spark and Flink.
  • •Expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design.
  • •Solid understanding of cloud services for data storage, processing, and orchestration.
  • •Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
Experience:4+ years
Education:Bachelor's in Computer Science, Statistics, Applied Mathematics, or related quantitative field
Skills:CommunicationProblem-solvingCollaborationMentoringPrioritization
Languages:English
Tech Stack:PythonSQLSparkKafkaFlinkHadoopCloud services

Company Brief

X AI
Develops advanced artificial intelligence models and research aimed at building safe, general AI and understanding the fundamental nature of the universe. Focuses on large-scale AI systems, research publications, and building foundational AI capabilities.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Headquarters: San Francisco, United States
Founded: 2023
Website