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Lead Data Scientist - Machine Learning & AI | San Francisco, CA

Apex Predictive Systems
San Francisco
Salary Estimate
USD 140.000 – USD 190.000
Latest
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

We are seeking a visionary Lead Data Scientist to join our elite analytics team in San Francisco. At Apex Predictive Systems, we don't just analyze data; we engineer the future of decision-making. You will spearhead complex machine learning initiatives, bridging the gap between theoretical research and scalable product deployment.

Our ideal candidate is a technical heavyweight with a passion for innovation, capable of leading high-impact projects that redefine industry standards. You will be responsible for building robust models that drive revenue growth and enhance user experiences.

Why join us? We offer a competitive compensation package, stock options, and a remote-first culture that prioritizes continuous learning.

Responsibilities

  • Architect and implement scalable machine learning pipelines using Python, PyTorch, and TensorFlow.
  • Lead a team of data scientists and engineers, conducting code reviews and fostering a culture of technical excellence.
  • Collaborate cross-functionally with product managers and engineering teams to translate business requirements into technical solutions.
  • Conduct deep-dive statistical analysis and A/B testing to validate hypotheses and optimize user acquisition.
  • Stay at the forefront of AI research, identifying and integrating emerging technologies into our stack.
  • Communicate complex data insights to non-technical stakeholders through compelling data visualization.

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 statistical modeling.
  • Strong proficiency in programming languages, specifically Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Experience deploying models into production environments using cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of deep learning architectures and natural language processing (NLP) is a major plus.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

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

Ready to Take on This Challenge?

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