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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Analytics at the forefront of data-driven innovation. We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. In this pivotal role, you'll architect advanced analytics solutions that drive measurable growth and competitive advantage. Collaborate with cross-functional teams to deliver predictive models, optimize operations, and uncover hidden market opportunities. Our culture values intellectual curiosity, technical excellence, and the power of data to shape the future.

Responsibilities

  • Design and implement end-to-end machine learning pipelines for predictive analytics and automation
  • Leverage big data technologies (Spark, Hadoop) to process terabytes of structured/unstructured data
  • Translate business challenges into data science problems with measurable impact metrics
  • Develop A/B testing frameworks and causal inference models to validate hypotheses
  • Create compelling data visualizations and dashboards using Tableau/Power BI
  • Mentor junior data scientists and establish best practices for model deployment
  • Present findings to C-level executives and stakeholders with clear business narratives

Qualifications

  • Master's or PhD in Statistics, Computer Science, Mathematics, or related field
  • 5+ years of experience in applied data science or analytics roles
  • Expert proficiency in Python (scikit-learn, TensorFlow) and SQL
  • Strong statistical foundation with experimental design experience
  • Proven track record of deploying production ML models at scale
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization
  • Exceptional communication skills with ability to simplify complex concepts
  • Portfolio showcasing impactful data science projects

Required Skills

Python SQL Machine Learning Statistics Data Visualization Big Data Cloud Computing A/B Testing Predictive Modeling

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