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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus AI Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Latest
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to shape the future of predictive intelligence? Nexus AI Analytics is looking for a visionary Senior Data Scientist to join our high-impact team. We are solving complex challenges in machine learning and deep learning, utilizing petabytes of data to drive global innovation.

As a key member of our research division, you will collaborate with cross-functional teams to build, deploy, and scale robust statistical models that transform raw data into actionable business strategy.

Responsibilities

  • Develop, deploy, and maintain advanced machine learning models in a production environment.
  • Collaborate with product managers and engineers to define data-driven roadmap initiatives.
  • Conduct deep-dive exploratory data analysis to uncover hidden revenue-generating patterns.
  • Design and implement A/B testing frameworks to validate model performance and business impact.
  • Mentor junior data scientists and contribute to our internal AI research documentation.
  • Automate data pipelines to streamline ETL workflows and improve data quality.
  • Present complex technical findings to executive stakeholders using compelling visualizations.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, specifically focused on predictive modeling.
  • Expert-level proficiency in Python and SQL; experience with PySpark or Scala is a plus.
  • Strong background in deep learning frameworks such as PyTorch or TensorFlow.
  • Proven expertise in cloud-based platforms (AWS/GCP) and containerization tools like Docker/Kubernetes.
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
  • Strong problem-solving mindset with a passion for continuous learning and innovation.

Required Skills

Python SQL Machine Learning Deep Learning AWS PyTorch Statistics Big Data

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