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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataFlow Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join DataFlow Analytics, a pioneering leader in AI-driven business intelligence, as we transform raw data into strategic gold. We're seeking a visionary Senior Data Scientist to architect cutting-edge solutions that drive measurable impact across global enterprises. In this pivotal role, you'll collaborate with cross-functional teams to uncover hidden patterns in complex datasets, design predictive models that shape business decisions, and deploy scalable analytics frameworks that deliver real-time insights.

Our award-winning culture champions innovation, continuous learning, and data ethics. You'll work with state-of-the-art technologies including AWS, TensorFlow, and Snowflake while solving challenges in fintech, healthcare, and e-commerce verticals. This position offers unparalleled growth opportunities through our mentorship program and industry-leading research partnerships.

Responsibilities

  • Develop and deploy advanced ML models for predictive analytics and customer segmentation
  • Create data visualization dashboards using Tableau/Power BI to communicate findings to C-suite executives
  • Design A/B testing frameworks to optimize product features and marketing campaigns
  • Lead end-to-end data science projects from hypothesis formulation to production deployment
  • Mentor junior analysts and champion data literacy initiatives across departments
  • Conduct statistical analysis to identify market trends and competitive intelligence
  • Collaborate with engineering teams to implement real-time data pipelines

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field
  • 5+ years of professional experience in applied data science or analytics
  • Expert proficiency in Python (Pandas, Scikit-learn) and SQL with PostgreSQL/BigQuery
  • Proven track record of deploying production-level ML models using cloud platforms (AWS/GCP)
  • Strong statistical knowledge with experience in experimental design and hypothesis testing
  • Exceptional communication skills translating technical insights to business stakeholders
  • Portfolio demonstrating impactful data science projects with measurable outcomes

Required Skills

Python SQL Machine Learning Statistical Analysis Data Visualization AWS TensorFlow Tableau Big Data

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