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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics AI
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to build the future of decision intelligence? Nexus Analytics AI is seeking a Senior Data Scientist to join our elite core team in San Francisco. You will leverage large-scale datasets to engineer predictive models that drive strategic product evolution and directly impact millions of users.

We value intellectual curiosity, rigorous statistical methodology, and the ability to translate complex data narratives into actionable business insights.

Responsibilities

  • Architect and deploy production-grade machine learning pipelines.
  • Collaborate with cross-functional product and engineering teams to solve complex business problems.
  • Conduct exploratory data analysis to identify high-impact growth opportunities.
  • Develop robust A/B testing frameworks to validate product feature efficacy.
  • Mentor junior data team members and establish internal best practices for data science workflows.
  • Communicate findings through high-level dashboards and stakeholder presentations.
  • Improve model performance through feature engineering and advanced algorithmic tuning.

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.
  • Expertise in Python, R, and advanced SQL for complex data extraction and analysis.
  • Deep understanding of cloud computing environments (AWS, GCP, or Azure).
  • Proven track record of deploying models into production environments using Docker/Kubernetes.
  • Strong knowledge of MLOps principles and model versioning tools (MLflow/DVC).
  • Excellent communication skills with the ability to bridge technical and non-technical gaps.

Required Skills

Python SQL Machine Learning PyTorch AWS BigQuery MLOps A/B Testing

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