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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
28 Mei 2026
Deadline
28 Mei 2027

Job Description

Are you passionate about turning raw data into actionable business intelligence? Nexus AI Solutions is seeking a visionary Senior Data Scientist to join our elite analytics team in the heart of San Francisco. We are on a mission to revolutionize the fintech landscape through cutting-edge AI and deep learning.

As a Senior Data Scientist, you will not just analyze data; you will architect the future of our predictive platforms. You will work alongside world-class engineers and product managers to build robust algorithms that drive key business decisions. If you thrive in a fast-paced, innovative environment and possess a deep understanding of statistical modeling, we want to meet you.

Responsibilities

  • Design, develop, and deploy end-to-end machine learning pipelines and models to solve complex business problems.
  • Collaborate cross-functionally with product managers, engineers, and stakeholders to translate business objectives into technical requirements.
  • Perform exploratory data analysis (EDA) to uncover hidden trends and patterns within massive datasets.
  • Optimize and tune machine learning algorithms to improve accuracy, precision, and recall.
  • Communicate complex analytical findings to non-technical audiences through clear visualizations and reports.
  • Stay current with the latest research and technologies in Deep Learning, NLP, and Computer Vision.
  • Mentor junior data scientists and conduct code reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or analytics.
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven track record of deploying models into production environments.
  • Excellent problem-solving skills and ability to work independently in a dynamic environment.
  • Strong communication skills with the ability to present technical concepts to diverse audiences.

Required Skills

Python SQL Machine Learning Deep Learning TensorFlow PyTorch Data Visualization A/B Testing Predictive Modeling

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