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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus AI Systems
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to shape the future of artificial intelligence? Nexus AI Systems is seeking a highly skilled Senior Data Scientist to join our elite engineering team in San Francisco. You will leverage cutting-edge machine learning techniques to solve complex problems and drive product innovation that impacts millions of users globally.

We foster a culture of curiosity, rapid iteration, and technical excellence. If you are passionate about building scalable models and turning raw data into strategic assets, we want to hear from you.

Responsibilities

  • Design, develop, and deploy scalable machine learning models to improve core product features.
  • Collaborate with cross-functional teams, including Product, Engineering, and Design, to identify data-driven opportunities.
  • Perform deep-dive analysis on massive datasets to uncover actionable insights and trends.
  • Mentor junior data scientists and contribute to the technical growth of the team.
  • Create high-impact data visualizations and reports for executive leadership.
  • Drive A/B testing frameworks to optimize user experience and engagement.
  • Maintain production-grade code pipelines for model training and inference.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or advanced analytics.
  • Fluency in Python and deep expertise in libraries like TensorFlow, PyTorch, or Scikit-Learn.
  • Strong proficiency in SQL and experience working with big data technologies (Spark, Hive, Snowflake).
  • Experience with cloud computing platforms (AWS, GCP, or Azure) is mandatory.
  • Solid understanding of experimental design and statistical hypothesis testing.
  • Proven ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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