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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataDriven Insights Inc.
San Francisco
Salary Estimate
USD 150.000 – USD 200.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join our award-winning analytics team to transform complex data into strategic business solutions. At DataDriven Insights Inc., we're pioneering AI-driven decision frameworks for Fortune 500 clients. As a Senior Data Scientist, you'll architect end-to-end machine learning pipelines that directly impact our clients' bottom line. Our collaborative culture combines cutting-edge research with practical implementation in agile sprints.

We offer competitive equity packages, flexible remote work options, and dedicated professional development budgets. Our San Francisco hub features state-of-the-art labs with GPU clusters and a team of PhD-level researchers. If you're passionate about bridging statistical theory with real-world impact, this is your opportunity to shape the future of data science.

Responsibilities

  • Design and implement end-to-end machine learning solutions for predictive analytics and optimization problems
  • Develop statistical models for A/B testing, customer segmentation, and revenue forecasting
  • Create automated data pipelines using cloud technologies (AWS/GCP) and orchestration tools
  • Collaborate with product teams to translate business requirements into technical specifications
  • Present findings to C-level executives through compelling data visualizations and narratives
  • Mentor junior data scientists and champion best practices in model validation
  • Research and prototype novel algorithms to solve unstructured data challenges

Qualifications

  • Master's degree in Statistics, Computer Science, Mathematics, or related field (PhD preferred)
  • 5+ years of professional experience in data science or applied ML roles
  • Expert proficiency in Python (scikit-learn, TensorFlow/PyTorch) and SQL
  • Strong foundation in statistical modeling and experimental design
  • Experience with cloud platforms (AWS/GCP) and big data technologies (Spark, Redshift)
  • Proven ability to translate technical insights into actionable business recommendations
  • Portfolio showcasing 3+ deployed ML models with measurable impact
  • Excellent communication skills with experience presenting to non-technical stakeholders

Required Skills

Python SQL Machine Learning TensorFlow AWS Statistical Modeling Data Visualization A/B Testing Spark Predictive Analytics

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