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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
10 Mei 2026
Deadline
10 Mei 2027

Job Description

Are you ready to shape the future of machine learning? At Nexus AI Analytics, we build intelligent systems that solve complex business challenges. We are looking for a visionary Senior Data Scientist to join our elite team in San Francisco. You will lead high-impact projects, transforming raw data into actionable strategies that drive growth and innovation at scale.

You will work in a fast-paced environment alongside world-class engineers, contributing to our proprietary AI platforms and shaping our data culture.

Responsibilities

  • Develop, test, and deploy predictive models using machine learning and statistical techniques.
  • Collaborate with cross-functional product teams to identify opportunities for data-driven optimization.
  • Clean, aggregate, and analyze large-scale structured and unstructured datasets.
  • Create interactive data visualizations and dashboards to communicate findings to stakeholders.
  • Mentor junior data scientists and contribute to best practices in model governance and reproducibility.
  • Design A/B testing frameworks to validate hypotheses and improve user engagement.
  • Implement automated pipeline monitoring to ensure data quality and model performance.

Qualifications

  • Master’s 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 proficiency in Python or R, with deep knowledge of libraries like Scikit-Learn, TensorFlow, or PyTorch.
  • Strong command of SQL and experience working with distributed computing platforms like Spark or BigQuery.
  • Proven ability to translate complex technical findings into clear, strategic business insights.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization tools like Docker or Kubernetes.
  • Strong problem-solving skills and a passion for data-driven product development.

Required Skills

Python Machine Learning SQL TensorFlow AWS Data Visualization Statistics Spark

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