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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 looking for a visionary Senior Data Scientist to join our elite core team. In this role, you will bridge the gap between complex raw data and actionable strategic insights, driving innovation across our global product suite.

We offer a collaborative, remote-friendly environment, high-impact project exposure, and a seat at the table where real-world decisions are made.

Responsibilities

  • Architect and deploy scalable machine learning models to solve complex business problems.
  • Lead end-to-end data pipelines from ingestion to production-grade deployment.
  • Conduct deep-dive exploratory data analysis to identify high-growth opportunities.
  • Collaborate with engineering and product stakeholders to integrate AI-driven features.
  • Mentor junior data scientists and contribute to a high-performance, growth-oriented culture.
  • Advocate for data-driven decision-making across all cross-functional departments.
  • Monitor and optimize model performance to ensure high availability and accuracy.

Qualifications

  • Masters or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or advanced analytics.
  • Expert-level proficiency in Python and SQL; familiarity with Scala or R is a plus.
  • Deep understanding of machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying models into production environments.
  • Strong communication skills with the ability to explain technical insights to non-technical stakeholders.

Required Skills

Python SQL Machine Learning PyTorch AWS Big Data Statistical Modeling Data Engineering

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