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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Hyperion AI
San Francisco
Salary Estimate
USD 165.000 – USD 210.000
Latest
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Elevate Your Career as a Senior Data Scientist at Hyperion AI

Are you ready to architect the next generation of predictive models? Hyperion AI is seeking a visionary Senior Data Scientist to design and implement cutting-edge machine learning solutions that directly impact our core analytics engine. In this high-impact role, you will collaborate with elite engineering and product teams to translate complex data structures into hyper-personalized user experiences and high-conversion business strategies. If you thrive in a fast-paced environment and want to solve challenging statistical problems at scale, let's shape the future of artificial intelligence together.

Responsibilities

  • Design, develop, and deploy scalable machine learning models to optimize user retention and predictive personalization.
  • Collaborate with data engineering teams to design, monitor, and maintain robust ML pipelines in production.
  • Conduct advanced statistical analysis to identify key growth drivers and unlock deep behavioral insights.
  • Establish rigorous A/B testing frameworks and causal inference methodologies to validate product features.
  • Mentor mid-level data scientists and advocate for best practices in statistical modeling and experimental design.
  • Translate highly complex quantitative insights into compelling strategic narratives for executive stakeholders.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Applied Mathematics, or a highly quantitative field.
  • 5+ years of professional experience as a Data Scientist, with a proven history of deploying models at scale.
  • Advanced proficiency in Python, SQL, and deep learning frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with cloud computing platforms (AWS or GCP) and big data technologies like Spark and Snowflake.
  • Deep understanding of statistical modeling, regression, hypothesis testing, and supervised/unsupervised learning.
  • Exceptional communication skills, with a track record of driving cross-functional alignment.

Required Skills

Machine Learning Python PyTorch SQL Spark A/B Testing Predictive Modeling AWS Statistics Causal Inference

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