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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
11 Mei 2026
Deadline
11 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 team. In this role, you will bridge the gap between complex raw data and strategic business decisions, working on cutting-edge predictive models that power our flagship SaaS platform.

We are looking for a practitioner who is not just technically brilliant, but also a storyteller who can translate insights into actionable roadmaps for global stakeholders.

Responsibilities

  • Design, build, and deploy scalable machine learning models to solve complex business problems.
  • Lead end-to-end data science projects, from hypothesis formulation to model production.
  • Collaborate with engineering teams to integrate AI features into our core product architecture.
  • Mentor junior data scientists and contribute to a culture of rigorous peer review and knowledge sharing.
  • Conduct deep-dive statistical analyses to identify trends, patterns, and growth opportunities.
  • Communicate model performance and data insights to executive leadership through compelling visualizations.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in predictive modeling, machine learning, or data science.
  • Expert-level proficiency in Python and deep knowledge of ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Advanced experience with SQL and big data technologies (Spark, Databricks, or Snowflake).
  • Strong understanding of MLOps best practices and experience deploying models in cloud environments (AWS/GCP).
  • Proven ability to translate business requirements into technical data solutions.

Required Skills

Python Machine Learning SQL PyTorch AWS Big Data Statistical Analysis MLOps

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