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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
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you passionate about turning complex datasets into actionable business strategies? Nexus AI is seeking a Senior Data Scientist to join our elite engineering team in San Francisco. You will leverage cutting-edge machine learning techniques to drive product innovation and optimize our core recommendation engines.

We foster a collaborative, high-impact environment where your insights directly shape the future of our platform. Join us to solve challenging problems at scale.

Responsibilities

  • Develop, test, and deploy production-grade machine learning models.
  • Collaborate with cross-functional teams to identify and translate business needs into technical solutions.
  • Design and implement A/B testing frameworks to validate model performance.
  • Maintain and optimize scalable data pipelines using cloud-based infrastructure.
  • Communicate complex analytical findings to non-technical stakeholders through data storytelling.
  • Mentor junior data scientists and contribute to architectural decision-making.
  • Stay current with industry advancements in NLP, Computer Vision, and Predictive Modeling.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, predictive modeling, or machine learning engineering.
  • Expertise in Python, R, and SQL; proficiency in modern deep learning frameworks (PyTorch or TensorFlow).
  • Deep understanding of statistical concepts and their application in real-world scenarios.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
  • Strong background in distributed computing (Spark, Dask, or Kubernetes).
  • Excellent communication and problem-solving skills with a focus on business impact.

Required Skills

Python Machine Learning SQL PyTorch AWS Data Modeling Statistics Big Data A/B Testing

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