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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
Austin
Salary Estimate
USD 130.000 – USD 170.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Analytics as a Senior Data Scientist and drive transformative insights for Fortune 500 clients. We're seeking a visionary professional to architect cutting-edge solutions using advanced analytics and machine learning. Our Austin-based team operates at the intersection of technology and business innovation, where your work directly shapes strategic decisions for global leaders.

As a key member of our Data Science Center of Excellence, you'll collaborate with cross-functional teams to solve complex business challenges. We offer competitive compensation, flexible work arrangements, and unparalleled opportunities for professional growth in one of America's most dynamic tech hubs.

Responsibilities

  • Design and implement scalable machine learning models to predict customer behavior and optimize business outcomes
  • Develop end-to-end data pipelines using cloud technologies (AWS/GCP) for real-time analytics
  • Create compelling data visualizations and executive dashboards using Tableau/Power BI
  • Lead A/B testing frameworks to validate product hypotheses and drive data-informed decisions
  • Mentor junior data scientists and foster a culture of continuous learning
  • Present findings to C-suite executives through structured storytelling frameworks
  • Collaborate with engineering teams to deploy models into production environments

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field (PhD preferred)
  • 5+ years of experience in applied data science with proven impact in B2B SaaS or fintech
  • Expert proficiency in Python (Pandas, Scikit-learn) and SQL with database optimization
  • Strong foundation in statistical modeling and experimental design
  • Experience with cloud platforms (AWS/GCP) and containerization technologies
  • Portfolio demonstrating complex ML projects with measurable business impact
  • Exceptional communication skills translating technical concepts to non-technical stakeholders

Required Skills

Python SQL Machine Learning AWS Tableau Statistical Analysis Data Visualization MLOps A/B Testing

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