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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
Latest
Live Update
28 Mei 2026
Deadline
28 Mei 2027

Job Description

Are you ready to transform massive datasets into actionable strategic intelligence? Nexus Analytics AI is seeking a visionary Senior Data Scientist to join our elite core team in San Francisco. You will leverage cutting-edge machine learning and predictive modeling to solve complex problems for global industry leaders.

We are a high-growth startup backed by top-tier VCs, offering a culture of innovation, rapid professional development, and the opportunity to build products from the ground up that influence millions of users.

Responsibilities

  • Architect and deploy production-grade machine learning models to solve complex business challenges.
  • Translate ambiguous business requirements into robust data science strategies and technical roadmaps.
  • Perform deep-dive exploratory data analysis to uncover hidden trends and actionable product insights.
  • Collaborate cross-functionally with Engineering, Product, and Design teams to integrate AI-driven features.
  • Design and interpret A/B experiments to optimize user engagement and conversion metrics.
  • Mentor junior data team members and establish internal best practices for model lifecycle management.
  • Communicate findings clearly through executive-level dashboards and technical presentations.

Qualifications

  • Master’s or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, with a proven track record of deploying models into production.
  • Expert-level proficiency in Python and SQL; familiarity with R or Scala is a plus.
  • Deep expertise in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Strong background in statistical modeling, experiment design, and data visualization tools (Tableau, Looker, or PowerBI).
  • Experience with cloud computing platforms like AWS, GCP, or Azure.
  • Excellent verbal and written communication skills with the ability to simplify complex technical concepts.

Required Skills

Python SQL Machine Learning PyTorch AWS Statistical Modeling Data Visualization A/B Testing

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