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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

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

Job Description

Join Nexus Analytics as a Senior Data Scientist and transform complex data into actionable business insights. We're seeking a visionary leader to drive our data strategy, develop predictive models, and influence product decisions at scale. You'll collaborate with cross-functional teams to solve high-impact challenges in fintech innovation while leveraging cutting-edge AI technologies.

Our ideal candidate thrives in ambiguity, communicates complex concepts clearly, and is passionate about ethical data practices. Enjoy competitive compensation, flexible work arrangements, and opportunities to present findings at industry conferences.

Responsibilities

  • Design and implement machine learning pipelines for predictive analytics and customer behavior modeling
  • Lead A/B testing frameworks and statistical analysis to optimize product features
  • Develop real-time data processing solutions using Spark and Kafka
  • Create executive-level visualizations and narratives using Tableau and custom dashboards
  • Mentor junior data scientists and establish best practices for model validation
  • Translate business objectives into data-driven solutions with measurable ROI

Qualifications

  • Master's degree in Statistics, Computer Science, or related field (PhD preferred)
  • 5+ years of experience in data science with proven impact in product optimization
  • Expert proficiency in Python (scikit-learn, TensorFlow) and SQL
  • Strong foundation in statistical modeling and experimental design
  • Experience with cloud platforms (AWS/GCP) and big data ecosystems
  • Portfolio demonstrating end-to-end data science projects
  • Excellent communication skills with ability to influence stakeholders

Required Skills

Python SQL Machine Learning TensorFlow Spark Statistical Analysis A/B Testing Data Visualization AWS Product Analytics

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