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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join Nexus Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. In this high-impact role, you'll architect ML solutions, collaborate with cross-functional teams, and drive decision-making through cutting-edge analytics. Our culture champions intellectual curiosity, agile methodologies, and real-world problem-solving. If you thrive at the intersection of technology and business impact, this is your opportunity to shape the future of data science.

Responsibilities

  • Design, develop, and deploy scalable machine learning models for predictive analytics and business optimization
  • Lead end-to-end data science projects from hypothesis testing to production implementation
  • Collaborate with engineering teams to integrate ML solutions into enterprise systems
  • Translate complex findings into compelling narratives for executive stakeholders
  • mentor junior data scientists and foster a culture of continuous learning
  • Drive A/B testing frameworks and experimentation culture across product teams
  • Stay current with emerging AI/ML techniques and implement best practices

Qualifications

  • Master's or PhD in Computer Science, Statistics, Mathematics, or related field
  • 5+ years of professional data science experience with proven impact
  • Expert proficiency in Python, SQL, and cloud data platforms (AWS/GCP/Azure)
  • Strong foundation in statistical modeling and experimental design
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Portfolio demonstrating successful deployment of production ML systems
  • Exceptional communication skills with ability to bridge technical and business domains

Required Skills

Python SQL Machine Learning TensorFlow AWS Data Visualization Statistical Modeling A/B Testing Cloud Architecture

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