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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nebula Analytics
San Francisco
Salary Estimate
USD 150.000 – USD 220.000
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

The Opportunity: Nebula Analytics is at the forefront of transforming raw data into actionable intelligence. We are seeking a visionary Senior Data Scientist to lead our advanced modeling initiatives and drive data-informed decision-making across the organization. You will be instrumental in architecting scalable machine learning solutions that impact millions of users.


Why Join Us?
• Work with cutting-edge technology and high-impact datasets.
• Collaborate with cross-functional teams of engineers, product managers, and designers.
• Competitive compensation package and equity opportunities in a high-growth tech environment.


Your Mission:
To unlock the potential of our data by developing robust algorithms, improving model accuracy, and deploying production-ready systems that solve complex business problems.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and statistical algorithms.
  • Perform exploratory data analysis (EDA) to uncover hidden patterns and drive business strategy.
  • Collaborate with engineering teams to integrate data models into production environments and ensure scalability.
  • Communicate complex technical findings and model performance metrics to non-technical stakeholders effectively.
  • Continuously research and implement new techniques in NLP, Computer Vision, or Predictive Analytics.
  • Optimize existing data pipelines to improve speed and efficiency.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or a related role.
  • Expert proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Strong experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Proven track record of deploying models to production and monitoring their performance.

Required Skills

Python SQL Machine Learning Deep Learning TensorFlow PyTorch AWS Data Visualization Statistical Analysis A/B Testing

Ready to Take on This Challenge?

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