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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics Labs
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to transform complex datasets into strategic business advantages? Nexus Analytics Labs is seeking a visionary Senior Data Scientist to join our high-impact AI division. You will work at the intersection of predictive modeling, machine learning, and business strategy to solve real-world challenges for global clients.

We offer a collaborative, cutting-edge environment where innovation is the standard, not the exception. If you are passionate about data-driven storytelling and algorithmic optimization, we want to meet you.

Responsibilities

  • Develop and deploy advanced machine learning models to solve complex business problems.
  • Translate business objectives into analytical frameworks and clear, actionable insights.
  • Collaborate with cross-functional product and engineering teams to integrate models into production systems.
  • Perform deep-dive exploratory data analysis on massive, unstructured datasets.
  • Mentor junior data scientists and contribute to the technical growth of the department.
  • Communicate findings through intuitive data visualizations and high-level stakeholder presentations.
  • Establish best practices for data science methodology, A/B testing, and model validation.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or statistical modeling.
  • Expert-level proficiency in Python and SQL; experience with R or Scala is a plus.
  • Strong command of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven ability to architect end-to-end data pipelines and model deployment strategies (MLOps).
  • Deep understanding of cloud platforms such as AWS, GCP, or Azure.
  • Excellent communication skills with the ability to explain technical concepts to non-technical audiences.

Required Skills

Python SQL Machine Learning Deep Learning MLOps AWS Data Visualization Predictive Modeling

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