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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
Austin
Salary Estimate
USD 120.000 – USD 180.000
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join our award-winning data science team at Nexus Analytics, where innovation meets impact. We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. You'll collaborate with cross-functional teams to architect cutting-edge ML solutions that drive measurable growth for Fortune 500 clients. Our Austin headquarters offers state-of-the-art facilities, flexible work arrangements, and opportunities to present at global conferences.

What sets us apart: We invest in your growth with annual $5k education stipends, quarterly hackathons, and dedicated R&D time. Our Austin team enjoys downtown views, rooftop gardens, and proximity to the city's vibrant tech ecosystem.

Responsibilities

  • Design and implement end-to-end ML pipelines for predictive analytics and optimization
  • Translate business objectives into data-driven solutions using Python, SQL, and cloud platforms
  • Lead A/B testing frameworks and causal inference analysis for product impact
  • Mentor junior data scientists and present findings to executive stakeholders
  • Develop real-time dashboards using Tableau/Power BI and D3.js
  • Publish research in peer-reviewed journals or industry conferences

Qualifications

  • 5+ years of experience in applied data science with Python/R and SQL
  • Master's degree in Statistics, Computer Science, or related field
  • Proven expertise in ML algorithms (XGBoost, Neural Networks, NLP)
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
  • Strong communication skills translating technical concepts to non-technical audiences
  • Portfolio demonstrating impactful data products with measurable ROI
  • Experience with MLOps tools (MLflow, Kubeflow) and CI/CD pipelines

Required Skills

Python SQL Machine Learning AWS Tableau XGBoost NLP MLOps

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