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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataVista Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Latest
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Transform data into strategic advantage at DataVista Analytics. We're pioneering AI-driven solutions for Fortune 500 clients, and we need a visionary Senior Data Scientist to lead our next breakthrough. Join our dynamic team in the heart of San Francisco's tech ecosystem, where your work will directly impact global business decisions.

At DataVista, we blend cutting-edge technology with human-centered design to solve complex business challenges. You'll collaborate with cross-functional teams to architect data pipelines, develop predictive models, and translate findings into actionable strategies. Our culture emphasizes continuous learning, innovation, and measurable impact.

Responsibilities

  • Design and implement end-to-end machine learning solutions for business optimization
  • Lead A/B testing frameworks and statistical analysis for product improvements
  • Develop scalable data pipelines using cloud-native technologies (AWS/GCP)
  • Create executive dashboards and storytelling visualizations using Tableau/Power BI
  • Mentor junior data scientists and foster collaborative data culture
  • Present findings to C-suite executives and technical stakeholders
  • Stay current with emerging AI/ML techniques and industry trends

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field
  • 5+ years of experience in applied data science or analytics roles
  • Expert proficiency in Python (Pandas, Scikit-learn, PyTorch) and SQL
  • Proven track record of deploying ML models in production environments
  • Strong business acumen with experience translating technical insights to ROI
  • Advanced knowledge of statistical modeling and experimental design
  • Experience with cloud data platforms (BigQuery, Redshift, Snowflake)
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Python SQL Machine Learning Statistical Modeling AWS/GCP Data Visualization A/B Testing Predictive Analytics Big Data

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