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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
San Francisco
Salary Estimate
USD 150.000 – USD 220.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Analytics as a Senior Data Scientist and lead transformative data initiatives at the intersection of technology and business strategy. We're seeking a visionary expert to uncover actionable insights from complex datasets and drive data-centric decision-making across our global operations. At Nexus Analytics, you'll collaborate with cross-functional teams to architect cutting-edge solutions that directly impact our product roadmap and customer experience.

Why Nexus Analytics? Our culture thrives on intellectual curiosity and innovation. You'll access enterprise-scale data infrastructure, mentor emerging talent, and contribute to patent-pending algorithms that redefine industry standards. We offer competitive equity packages, flexible work arrangements, and professional development stipends to accelerate your career trajectory.

Responsibilities

  • Design and implement end-to-end data science pipelines using Python, SQL, and cloud technologies (AWS/GCP)
  • Develop predictive models and ML algorithms to optimize customer acquisition, retention, and lifetime value
  • Translate complex findings into executive-ready visualizations and strategic recommendations
  • Lead A/B testing frameworks and causal inference studies to quantify business impact
  • Mentor junior data scientists and champion data literacy initiatives across departments
  • Collaborate with engineering teams to deploy models into production environments
  • Present insights to C-suite stakeholders and influence product roadmaps

Qualifications

  • MS/PhD in Statistics, Computer Science, Mathematics, or related quantitative field
  • 5+ years of applied data science experience in tech or e-commerce
  • Expert proficiency in Python (Pandas, Scikit-learn, PyTorch) and SQL
  • Proven track record of deploying production ML models at scale
  • Strong statistical foundation with experience in experimental design
  • Advanced visualization skills (Tableau, D3.js) and data storytelling
  • Experience with cloud data warehousing (BigQuery, Redshift) and MLOps
  • Portfolio demonstrating impactful data-driven projects with measurable ROI

Required Skills

Python SQL Machine Learning Statistical Analysis Data Visualization AWS/GCP Predictive Modeling A/B Testing Causal Inference

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