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Senior Data Scientist, Predictive Intelligence

Luminary Data Systems
San Francisco
Salary Estimate
USD 175.000 – USD 235.000
Latest
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Elevate the Future of Decision Intelligence

Luminary Data Systems is looking for a world-class Senior Data Scientist to join our elite Analytics Center of Excellence in San Francisco. In this role, you won't just analyze data; you will architect the predictive engines that power our global enterprise platform. We are looking for a hybrid of a mathematical visionary and a pragmatic engineer—someone who can navigate the complexities of massive datasets to deliver high-impact, production-ready machine learning solutions.

As part of our team, you will enjoy a high-autonomy environment, cutting-edge infrastructure, and the opportunity to solve challenges that directly influence the trajectory of our industry. If you are passionate about pushing the boundaries of what is possible with AI and predictive modeling, we want to hear from you.

Responsibilities

  • Design and deploy end-to-end machine learning models to solve complex problems in user behavior forecasting and revenue optimization.
  • Collaborate with Product and Engineering teams to integrate algorithmic insights into real-time production environments.
  • Lead the development of scalable data pipelines and feature engineering frameworks using Spark and Python.
  • Perform rigorous statistical analysis and hypothesis testing to validate product improvements and business strategies.
  • Mentor junior data scientists and contribute to a culture of technical excellence and continuous learning.
  • Translate complex technical findings into compelling narratives for executive stakeholders.
  • Drive the adoption of best practices for model monitoring, versioning, and reproducibility.

Qualifications

  • Ph.D. or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Physics.
  • 5+ years of professional experience in data science, with a proven track record of deploying models at scale.
  • Expert-level proficiency in Python and deep familiarity with Scikit-learn, TensorFlow, or PyTorch.
  • Advanced SQL skills and experience working with cloud data warehouses like Snowflake or BigQuery.
  • Demonstrated expertise in distributed computing frameworks, specifically Apache Spark.
  • Strong understanding of experimental design, including A/B testing and causal inference.
  • Exceptional communication skills with the ability to influence cross-functional leadership.

Required Skills

Python Machine Learning SQL Apache Spark Statistics PyTorch Predictive Modeling A/B Testing Snowflake

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