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Senior Data Scientist

InsightMetrics Analytics
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Latest
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join our award-winning data science team at InsightMetrics Analytics, where we transform complex data into actionable business intelligence. We're seeking a visionary Senior Data Scientist to architect cutting-edge solutions for Fortune 500 clients in fintech and e-commerce. You'll lead end-to-end analytics projects, from exploratory analysis to production deployment, while mentoring junior scientists. Our culture combines academic rigor with startup agility, offering unmatched opportunities to shape the future of data-driven decision making.

What you'll love: Collaborative innovation labs with latest ML infrastructure
Quarterly hackathons with $50k prize pool
Flexible remote work options (3 days/week)
Annual $5k professional development stipend

Responsibilities

  • Design and implement machine learning pipelines for predictive modeling and pattern recognition
  • Lead A/B testing frameworks and causal inference studies to optimize business KPIs
  • Translate complex data findings into executive-ready visualizations and strategic recommendations
  • Develop real-time analytics dashboards using Python, R, and Tableau
  • Mentor junior scientists through pair programming and technical workshops
  • Contribute to open-source projects and publish research in peer-reviewed journals
  • Collaborate with product teams to integrate predictive models into production systems

Qualifications

  • MS/PhD in Statistics, Computer Science, or related quantitative field with 5+ years industry experience
  • Expertise in Python (scikit-learn, TensorFlow) and SQL with database optimization skills
  • Proven track record deploying ML models at scale (AWS/GCP preferred)
  • Advanced statistical knowledge: experimental design, Bayesian methods, and time-series analysis
  • Portfolio demonstrating end-to-end data science projects with measurable business impact
  • Experience mentoring data science teams and leading cross-functional initiatives
  • Strong communication skills translating technical concepts for non-technical stakeholders

Required Skills

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

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