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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataVision Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
17 Mei 2027

Job Description

Join DataVision Analytics, a trailblazer in AI-driven business intelligence, as we revolutionize how Fortune 500 companies leverage data. We're seeking a visionary Senior Data Scientist to architect cutting-edge solutions that transform raw data into strategic gold. Our collaborative culture thrives on curiosity, innovation, and impact – where your work directly shapes global business decisions.

At DataVision, you'll work with petabyte-scale datasets across finance, healthcare, and e-commerce verticals. We offer state-of-the-art resources, mentorship from industry leaders, and opportunities to publish research at top-tier conferences. Your expertise will power our next-generation predictive analytics platform used by millions.

Responsibilities

  • Design and implement end-to-end machine learning pipelines for predictive modeling and anomaly detection
  • Develop statistical frameworks for A/B testing and causal inference to drive product optimization
  • Create interactive data visualizations using Tableau/Power BI to communicate complex insights to C-suite executives
  • Collaborate with engineering teams to deploy models at scale on cloud infrastructure (AWS/GCP)
  • Lead cross-functional workshops to translate business challenges into data-driven solutions
  • Present findings to stakeholders through compelling narratives and executive dashboards

Qualifications

  • Master's degree in Statistics, Computer Science, Mathematics, or related field (PhD preferred)
  • 5+ years of hands-on experience in data science with proven impact in production environments
  • Expertise in Python (scikit-learn, PyTorch) and SQL with database optimization skills
  • Strong statistical foundation: experimental design, Bayesian methods, and time-series analysis
  • Portfolio demonstrating end-to-end projects with business impact metrics
  • Experience with cloud platforms (AWS/GCP) and big data technologies (Spark, Hadoop)

Required Skills

Python SQL Machine Learning Statistical Analysis Data Visualization AWS PyTorch A/B Testing Big Data Causal Inference

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