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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
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Analytics as a Senior Data Scientist and drive transformative insights from complex datasets. We're seeking a visionary professional to architect cutting-edge solutions that shape our strategic direction. In this pivotal role, you'll collaborate with cross-functional teams to translate data into actionable business strategies, leveraging advanced analytics to solve high-impact challenges. Our culture champions innovation and continuous learning, offering unparalleled opportunities to work on groundbreaking projects that redefine industry standards.

Responsibilities

  • Design and implement end-to-end data science pipelines using Python, SQL, and cloud platforms (AWS/GCP)
  • Develop predictive models and machine learning algorithms to optimize business KPIs and customer experience
  • Lead A/B testing frameworks and statistical analyses to drive data-informed product decisions
  • Create compelling data visualizations and executive dashboards using Tableau/Power BI
  • Mentor junior analysts and establish best practices for data governance and ethical AI
  • Partner with engineering teams to deploy models into production environments
  • Present findings to C-level stakeholders and translate technical insights into strategic recommendations

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field (PhD preferred)
  • 5+ years of progressive experience in data science or analytics roles
  • Expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
  • Proven track record of building production-level ML solutions
  • Strong business acumen with ability to translate technical outputs to ROI
  • Experience with cloud data warehousing (BigQuery, Redshift) and MLOps
  • Exceptional communication skills with executive-level presentation experience

Required Skills

Python SQL Machine Learning TensorFlow PyTorch Statistical Analysis Data Visualization AWS A/B Testing Data Governance

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