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Senior Data Scientist | San Francisco | Nexus Analytics

Nexus Analytics
San Francisco
Salary Estimate
USD 150.000 – USD 220.000
Latest
Live Update
28 Mei 2026
Deadline
28 Mei 2027

Job Description

Are you a visionary data scientist looking to shape the future of artificial intelligence? Nexus Analytics is seeking a Senior Data Scientist to join our elite R&D team in the heart of San Francisco.

We are on a mission to leverage cutting-edge machine learning to solve complex global challenges. In this role, you won't just analyze data; you will architect the algorithms that drive our flagship products. If you thrive in a fast-paced, high-performance environment and possess a deep understanding of statistical modeling, we want to meet you.

Why Join Nexus Analytics?

  • Work with the brightest minds in the tech industry.
  • Access to the latest hardware and cloud infrastructure.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote and hybrid work options.

Ready to transform raw data into actionable intelligence? Apply now.

Responsibilities

  • Design, develop, and deploy end-to-end machine learning pipelines and predictive models to drive business growth.
  • Collaborate with cross-functional teams of engineers, product managers, and stakeholders to translate complex business requirements into technical solutions.
  • Perform exploratory data analysis (EDA) to uncover hidden trends and anomalies within massive datasets.
  • Optimize algorithms for scalability, speed, and accuracy using modern cloud technologies.
  • Communicate complex data insights and model performance metrics to non-technical audiences through clear visualizations and reports.
  • Stay abreast of the latest research in Deep Learning and Natural Language Processing to innovate our product roadmap.

Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5+ years of professional experience in data science, machine learning, or statistical modeling.
  • Strong proficiency in Python (Pandas, NumPy, Scikit-Learn) and SQL.
  • Expertise in at least one deep learning framework (TensorFlow, PyTorch, or Keras).
  • Proven track record of deploying models into production environments.
  • Exceptional problem-solving skills and the ability to work independently in a dynamic setting.

Required Skills

Python Machine Learning SQL TensorFlow PyTorch Deep Learning Data Visualization A/B Testing Statistics Cloud Computing (AWS/GCP/Azure)

Ready to Take on This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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