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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics AI
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you passionate about turning complex datasets into actionable business intelligence? Nexus Analytics AI is seeking a Senior Data Scientist to join our elite team in San Francisco. You will leverage cutting-edge machine learning techniques to drive product strategy and optimize our core AI infrastructure.

We are a fast-paced environment where data-driven decisions sit at the heart of our success. If you are an innovator who thrives on solving high-impact engineering challenges, we want to hear from you.

Responsibilities

  • Design and deploy scalable machine learning models to improve predictive accuracy.
  • Collaborate with product managers and engineers to define KPIs and metrics.
  • Perform deep-dive exploratory data analysis to uncover hidden trends in user behavior.
  • Automate data pipelines and improve the efficiency of our model deployment lifecycle (MLOps).
  • Mentor junior data analysts and promote a culture of rigorous scientific inquiry.
  • Communicate complex statistical concepts to non-technical stakeholders via clear visualizations.
  • Develop A/B testing frameworks to validate feature impact across the platform.

Qualifications

  • M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of industry experience working with large-scale production datasets.
  • Proficiency in Python, SQL, and deep learning frameworks (PyTorch or TensorFlow).
  • Experience with cloud computing platforms, specifically AWS (SageMaker) or GCP.
  • Solid understanding of experimental design, hypothesis testing, and causal inference.
  • Excellent communication skills with the ability to influence cross-functional leadership.
  • Proven track record of shipping production-grade machine learning models.

Required Skills

Python SQL Machine Learning AWS PyTorch Statistics Data Visualization MLOps

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