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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
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to shape the future of machine learning at a fast-growing tech leader? Nexus AI Analytics is looking for a visionary Senior Data Scientist to join our elite engineering team. You will work on cutting-edge predictive models that influence millions of users globally. We offer a culture of radical transparency, high impact, and endless growth potential.

We solve complex problems in high-dimensional spaces. Join us to define the next generation of data-driven products.

Responsibilities

  • Design, build, and deploy advanced machine learning models to solve complex business challenges.
  • Collaborate with cross-functional teams to identify and translate business requirements into technical solutions.
  • Lead the end-to-end lifecycle of data products, from data ingestion to production-level deployment.
  • Perform deep-dive exploratory data analysis to uncover hidden trends and actionable insights.
  • Mentor junior team members and foster a culture of engineering excellence and rigorous code reviews.
  • Optimize existing algorithms to improve predictive accuracy and system latency.
  • Communicate findings and strategic recommendations to executive stakeholders through compelling data storytelling.

Qualifications

  • Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, predictive modeling, or machine learning.
  • Expert-level proficiency in Python and SQL, with deep experience in libraries such as Scikit-Learn, PyTorch, or TensorFlow.
  • Solid understanding of cloud computing environments (AWS, GCP, or Azure).
  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for ML models (MLOps).
  • Strong statistical background and comfort working with large-scale, unstructured datasets.
  • Excellent interpersonal skills and the ability to articulate complex technical concepts to non-technical audiences.

Required Skills

Python SQL Machine Learning PyTorch AWS Big Data Statistical Modeling MLOps

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