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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist - AI & Machine Learning

Nebula Analytics
San Francisco
Salary Estimate
USD 140.000 – USD 190.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to lead the next generation of intelligent solutions? Nebula Analytics is revolutionizing the industry with cutting-edge data science, and we need a Senior Data Scientist to drive our AI initiatives.

As a Senior Data Scientist at Nebula Analytics, you will own the data strategy for key product features, building models that not only predict outcomes but also actively shape user experiences. You will work in a dynamic environment where your insights directly impact business growth and product innovation.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote-first policy with a co-working hub in San Francisco.
  • Continuous learning opportunities and access to the latest tech stack.

We are looking for a visionary thinker who combines technical excellence with business acumen.

Responsibilities

  • Develop and implement end-to-end machine learning pipelines, from data ingestion to model deployment.
  • Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions.
  • Perform exploratory data analysis (EDA) to uncover hidden patterns and insights within complex datasets.
  • Optimize existing algorithms to improve accuracy, speed, and scalability of our predictive models.
  • Mentor junior data scientists and contribute to the team's technical growth and best practices.
  • Communicate complex technical findings to non-technical stakeholders through clear visualizations and reports.

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 a similar technical role.
  • Proficiency in programming languages such as Python (Pandas, NumPy, Scikit-learn) or R.
  • Strong experience with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of statistical modeling, A/B testing, and experimental design.
  • Excellent problem-solving skills and the ability to work independently in a fast-paced, agile environment.

Required Skills

Python SQL Machine Learning TensorFlow PyTorch NLP A/B Testing Data Visualization AWS GCP

Ready to Take on This Challenge?

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