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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Join Nexus Analytics at the forefront of AI innovation! We're seeking a visionary Senior Data Scientist to transform complex data into breakthrough solutions that redefine industries. Collaborate with elite researchers and engineers to build scalable ML models while shaping our data-driven future. Enjoy cutting-edge resources, flexible work arrangements, and competitive equity in a culture that values curiosity and impact.

Responsibilities

  • Design and implement advanced ML algorithms for predictive analytics and automation
  • Lead end-to-end data science projects from prototyping to production deployment
  • Collaborate with cross-functional teams to translate business challenges into data solutions
  • Develop real-time data pipelines using cloud-native technologies (AWS/GCP/Azure)
  • Present findings to C-suite executives through compelling data visualizations
  • Mentor junior scientists and champion best practices in model governance
  • Research emerging AI techniques to maintain competitive advantage

Qualifications

  • PhD or Master's in Computer Science, Statistics, or related quantitative field
  • 5+ years experience in production-level ML model development
  • Expertise in Python, PyTorch/TensorFlow, and distributed computing frameworks
  • Proven track record with large-scale data processing (Spark/Hadoop)
  • Strong statistical analysis and experimental design skills
  • Experience with MLOps tools (Kubeflow, MLflow) and CI/CD pipelines
  • Published research in top-tier AI conferences or journals preferred
  • Ability to communicate complex concepts to non-technical stakeholders

Required Skills

Python Machine Learning PyTorch AWS Data Visualization Statistical Analysis Big Data MLOps Cloud Computing

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