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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus AI Solutions
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you a visionary Data Scientist looking to make a tangible impact on the future of artificial intelligence? Nexus AI Solutions is seeking a world-class Senior Data Scientist to join our elite R&D team.

We are at the forefront of revolutionizing how industries leverage data. You will work on cutting-edge projects involving Natural Language Processing (NLP), Computer Vision, and predictive analytics. If you thrive in a fast-paced, collaborative environment and love solving complex problems, this is your opportunity to shine.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and statistical algorithms to solve real-world business problems.
  • Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights that drive strategic decision-making.
  • Collaborate with product managers and engineers to translate business objectives into technical data solutions.
  • Optimize data pipelines and infrastructure to ensure high performance and scalability of ML systems.
  • Present complex findings and model performance metrics to non-technical stakeholders in a clear and compelling manner.
  • Stay abreast of the latest advancements in AI/ML research and implement cutting-edge techniques.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field (PhD preferred).
  • Minimum of 5+ years of professional experience in Data Science, Machine Learning, or AI.
  • Expert proficiency in programming languages such as Python, R, or Scala.
  • Strong understanding of ML frameworks (TensorFlow, PyTorch, Scikit-learn) and deep learning architectures.
  • Experience with big data technologies (Spark, Hadoop) and SQL databases.
  • Excellent communication skills, with the ability to translate technical jargon into business value.

Required Skills

Python Machine Learning Deep Learning SQL Data Analysis TensorFlow PyTorch Natural Language Processing Spark Data Visualization Statistics

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