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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataPulse Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join DataPulse Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. In this pivotal role, you'll architect cutting-edge machine learning models that power our AI platform, directly influencing product development and revenue optimization. Collaborate with cross-functional teams to solve high-impact challenges while leveraging our state-of-the-art tech stack. Enjoy competitive benefits, flexible work arrangements, and opportunities to present at industry conferences. Your work will shape how Fortune 500 companies leverage data in the digital age.

Responsibilities

  • Design and implement scalable ML solutions for predictive analytics and natural language processing
  • Lead A/B testing frameworks to optimize product features and user engagement
  • Develop data pipelines using Apache Spark and cloud-based infrastructure
  • Translate technical findings into executive-level strategic recommendations
  • Mentor junior data scientists and drive best practices across the team
  • Present insights at quarterly stakeholder reviews and industry symposiums

Qualifications

  • 5+ years of progressive data science experience with proven ROI in production models
  • Expertise in Python, SQL, and ML frameworks (TensorFlow/PyTorch)
  • Advanced degree in Statistics, Computer Science, or quantitative field
  • Portfolio demonstrating end-to-end data science projects from ideation to deployment
  • Strong business acumen to align technical solutions with KPIs
  • Certification in AWS/GCP data analytics platforms preferred
  • Experience with MLOps and model lifecycle management

Required Skills

Python SQL Machine Learning TensorFlow Apache Spark Data Visualization A/B Testing NLP Cloud Computing Statistical Analysis

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