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Senior Data Scientist - Machine Learning

Apex Data Systems
San Francisco
Salary Estimate
USD 150.000 – USD 220.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are seeking a visionary Senior Data Scientist to join our elite R&D team in San Francisco. At Apex Data Systems, we are pushing the boundaries of artificial intelligence to solve complex, real-world problems. If you thrive in a fast-paced, high-tech environment and have a passion for turning raw data into actionable insights, this is the role for you.

Why Join Us?
We offer a competitive compensation package, comprehensive benefits, and the opportunity to work on cutting-edge projects that impact millions of users globally.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and predictive algorithms.
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
  • Collaborate with cross-functional teams (Software Engineering, Product Management) to define data requirements and drive technical solutions.
  • Optimize existing data pipelines to improve efficiency and reduce latency.
  • Communicate complex technical findings to non-technical stakeholders through clear visualization and reporting.
  • Stay abreast of the latest research in AI/ML to integrate new methodologies into our stack.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field; Master’s or PhD is preferred.
  • 5+ years of professional experience in data science, machine learning, or a similar technical role.
  • Strong proficiency in programming languages such as Python and R.
  • Deep understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with big data technologies (Spark, Hadoop, SQL databases).
  • Proven track record of delivering production-ready models.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch SQL Spark Data Visualization Predictive Modeling

Ready to Take on This Challenge?

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

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