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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
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Analytics as a Senior Data Scientist and transform raw data into actionable business intelligence. We're seeking a visionary leader to drive innovation in our AI division, leveraging cutting-edge techniques to solve complex challenges for Fortune 500 clients. Your work will directly impact product development, customer experience, and revenue optimization in a collaborative, fast-paced environment.

What you'll achieve: Design and deploy machine learning models, lead end-to-end data science projects, and mentor junior team members. You'll partner with cross-functional teams to translate business needs into technical solutions while maintaining ethical AI standards.

Responsibilities

  • Develop and implement advanced ML models (NLP, computer vision, time-series forecasting)
  • Lead A/B testing frameworks and statistical analysis for product optimization
  • Create data-driven visualizations and executive dashboards using Tableau/Power BI
  • Collaborate with engineering teams to deploy models into production environments
  • Present findings to C-suite executives and translate technical insights into strategic recommendations
  • Mentor junior data scientists and establish best practices for model validation

Qualifications

  • 5+ years of hands-on experience in applied data science and ML
  • Expertise in Python (Scikit-learn, TensorFlow/PyTorch) and SQL
  • Advanced degree in Data Science, Statistics, or related quantitative field
  • Proven track record of deploying production ML systems at scale
  • Strong business acumen with experience translating data to ROI
  • Proficiency in cloud platforms (AWS/GCP) and MLOps tools
  • Excellent communication skills with executive stakeholder experience

Required Skills

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

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