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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus AI Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to shape the future of machine learning? Nexus AI Analytics is seeking a visionary Senior Data Scientist to join our high-impact core product team in the heart of San Francisco. In this role, you will bridge the gap between complex raw data and strategic business outcomes, building scalable models that touch millions of users.

We value intellectual curiosity, clean architecture, and the drive to solve non-trivial engineering problems. You will work in a collaborative environment with industry-leading researchers and data engineers.

Responsibilities

  • Design and deploy sophisticated machine learning models to solve complex predictive challenges.
  • Collaborate with cross-functional stakeholders to define key performance metrics and data strategy.
  • Architect robust data pipelines using distributed computing frameworks.
  • Perform deep-dive exploratory data analysis to uncover hidden business opportunities.
  • Mentor junior data scientists and promote engineering best practices.
  • Maintain production-grade code for internal AI products.
  • Communicate technical insights to non-technical executive leadership.

Qualifications

  • M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, predictive modeling, or machine learning.
  • Advanced proficiency in Python, SQL, and distributed computing tools like Spark.
  • Strong background in statistical modeling, NLP, or computer vision.
  • Experience deploying models to production environments (AWS, GCP, or Azure).
  • Proven ability to translate business requirements into technical solutions.
  • Excellent collaborative and technical communication skills.

Required Skills

Python SQL PyTorch TensorFlow AWS Apache Spark Scikit-learn Machine Learning

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