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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus AI Labs
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
9 Mei 2026
Deadline
9 Mei 2027

Job Description

We are seeking a visionary Senior Data Scientist to join Nexus AI Labs, a pioneer in the generative AI space. In this role, you will lead the design and deployment of advanced machine learning models that drive product innovation and solve complex business challenges.

Our team thrives on curiosity and rigor. You will work in a collaborative environment where your insights directly influence product strategy and user experience. If you are passionate about turning raw data into actionable intelligence, we want to hear from you.

Responsibilities

  • Model Development: Design, train, and optimize deep learning and statistical models using Python and modern frameworks.
  • Data Strategy: Lead the end-to-end data pipeline, from ETL processes to data warehousing and large-scale data analysis.
  • Cross-Functional Collaboration: Partner with product managers and engineers to translate business requirements into technical solutions.
  • MLOps: Implement robust MLOps pipelines to ensure model scalability, monitoring, and continuous integration.
  • Innovation: Explore cutting-edge research in Natural Language Processing (NLP) or Computer Vision to maintain our competitive edge.

Qualifications

  • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Technical Skills: Proficiency in Python (PyTorch, TensorFlow), SQL, and distributed computing (Spark, Hadoop).
  • Experience: Minimum of 5+ years of experience in a data science or machine learning engineering role.
  • Problem Solving: Strong ability to deconstruct ambiguous problems and derive scalable solutions.
  • Communication: Excellent verbal and written communication skills for presenting complex findings to stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow SQL Spark NLP Statistics Data Mining

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