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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

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

Job Description

Are you a visionary Data Scientist ready to turn complex datasets into strategic business advantages? Nexus AI Analytics is seeking an experienced professional to join our core team in the heart of San Francisco. You will leverage cutting-edge machine learning techniques to drive product innovation and solve real-world industry challenges.

We offer a collaborative, remote-friendly culture, industry-leading equity packages, and the chance to work with a massive scale of data.

Responsibilities

  • Develop, test, and deploy predictive models using Python, R, and SQL.
  • Collaborate with cross-functional product teams to define and track key performance metrics.
  • Design A/B testing frameworks to validate model performance and business impact.
  • Provide technical mentorship to junior data analysts and engineers.
  • Communicate findings and strategic recommendations to C-suite stakeholders.
  • Optimize existing data pipelines for scalability and performance.
  • Drive research initiatives to incorporate generative AI into our core platform.

Qualifications

  • Master’s or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field.
  • 5+ years of professional experience in data science, preferably within a tech-focused company.
  • Expert-level proficiency in Python and SQL; familiarity with cloud platforms like AWS or GCP.
  • Deep understanding of machine learning algorithms (Random Forests, Gradient Boosting, Neural Networks).
  • Strong experience with data visualization tools (Tableau, Looker, or PowerBI).
  • Proven track record of deploying models into production environments.
  • Excellent interpersonal skills and the ability to explain complex technical concepts to non-technical partners.

Required Skills

Python SQL Machine Learning AWS TensorFlow PyTorch Data Visualization Statistics Predictive Modeling

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