Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist - AI & Machine Learning

Nebula Data Solutions
San Francisco
Salary Estimate
USD 140.000 – USD 200.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you a visionary data scientist ready to shape the future of AI?

Nebula Data Solutions is seeking a highly skilled Senior Data Scientist to join our elite analytics team in the heart of San Francisco. In this role, you will drive innovation by designing, developing, and deploying cutting-edge machine learning models that power our core business products. You will work closely with cross-functional teams to translate complex business problems into scalable data solutions, directly impacting millions of users.

Why Join Us?

• Competitive salary and equity package
• Top-tier healthcare benefits
• Flexible remote-first culture with a vibrant SF office
• Continuous learning and development budget

Responsibilities

  • Design, build, and maintain end-to-end machine learning pipelines and scalable data architectures.
  • Perform exploratory data analysis (EDA) to uncover actionable insights and drive strategic decision-making.
  • Collaborate with product managers and engineers to define data requirements and integrate models into production environments.
  • Experiment with state-of-the-art algorithms (NLP, Computer Vision, Predictive Analytics) to solve complex business challenges.
  • Communicate complex technical findings to non-technical stakeholders through clear visualizations and reports.
  • Ensure model scalability, reliability, and performance through rigorous testing and monitoring.
  • Mentor junior data scientists and contribute to a culture of technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5 years of professional experience in data science, machine learning, or a similar analytical role.
  • Proficiency in programming languages such as Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Strong experience with deep learning frameworks (TensorFlow, PyTorch) and MLOps tools (Docker, Kubernetes, MLflow).
  • Experience deploying models to cloud platforms (AWS, GCP, or Azure) is highly preferred.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Excellent written and verbal communication skills.

Required Skills

Python SQL Machine Learning TensorFlow PyTorch NLP Data Visualization AWS MLOps Statistics

Ready to Take on This Challenge?

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

Apply Now

Related Job Openings

Job recommendations similiar to you

View All