Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist - AI & Machine Learning

Nexus AI Solutions
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Latest
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are looking for a visionary Senior Data Scientist to lead our advanced AI initiatives. You will work on cutting-edge projects that define the future of our predictive analytics platform and drive business growth.

Why Join Us?

At Nexus AI Solutions, we believe in the power of data to transform industries. You will have the opportunity to work with world-class engineers and researchers to solve complex problems.

Key Responsibilities:

  • Design, develop, and deploy scalable machine learning models and algorithms.
  • Analyze complex, high-volume datasets to extract actionable insights and drive strategic decision-making.
  • Collaborate closely with engineering and product teams to integrate data science solutions into production environments.
  • Conduct rigorous A/B testing and experimental analysis to optimize product performance and user experience.
  • Mentor junior data scientists and contribute to the technical roadmap and best practices.

Qualifications:

  • PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or statistical modeling.
  • Proficiency in Python (PyTorch, TensorFlow, Scikit-learn) and SQL.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and algorithms.
  • Analyze complex, high-volume datasets to extract actionable insights and drive strategic decision-making.
  • Collaborate closely with engineering and product teams to integrate data science solutions into production environments.
  • Conduct rigorous A/B testing and experimental analysis to optimize product performance and user experience.
  • Mentor junior data scientists and contribute to the technical roadmap and best practices.
  • Qualifications

  • PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or statistical modeling.
  • Proficiency in Python (PyTorch, TensorFlow, Scikit-learn) and SQL.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.
  • Required Skills

    Python Machine Learning Artificial Intelligence SQL PyTorch TensorFlow AWS Statistics Data Analysis Deep Learning

    Ready to Take on This Challenge?

    Make sure your resume is ready. Submit your application now before the deadline.

    Apply Now

    Related Job Openings

    Job recommendations similiar to you

    View All