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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataVista Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join DataVista Analytics, where data transforms industries! We're seeking a visionary Senior Data Scientist to architect cutting-edge solutions that drive business growth and innovation. In this pivotal role, you'll leverage advanced analytics to uncover hidden patterns, build predictive models, and translate complex data into actionable strategies. Collaborate with cross-functional teams in our state-of-the-art San Francisco headquarters and make an impact on projects that redefine how the world uses data.

Why DataVista? Our culture champions intellectual curiosity, continuous learning, and disruptive thinking. Enjoy competitive compensation, flexible work arrangements, and opportunities to present at global conferences. Your work will directly influence product roadmaps and shape the future of data-driven decision-making.

Responsibilities

  • Design and implement machine learning models for predictive analytics and classification tasks
  • Develop A/B testing frameworks to optimize product features and marketing strategies
  • Create data visualizations and dashboards using Python (Matplotlib, Seaborn) and Tableau
  • Collaborate with engineering teams to deploy models into production environments
  • Present findings to C-level executives through compelling data narratives
  • Lead end-to-end data science projects from hypothesis to deployment
  • Mentor junior scientists and champion ethical AI practices

Qualifications

  • Master's or PhD in Computer Science, Statistics, Mathematics, or related field
  • 5+ years of hands-on experience in machine learning and statistical modeling
  • Expert proficiency in Python (Pandas, Scikit-learn, TensorFlow) and SQL
  • Proven track record of deploying ML models at scale
  • Strong communication skills translating technical concepts to non-technical stakeholders
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
  • Published research or conference presentations preferred

Required Skills

Python SQL Machine Learning TensorFlow AWS A/B Testing Data Visualization Statistical Modeling Cloud Computing

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