Aera Technology

Principal Data Scientist

Aera Technology

full-time

Posted on:

Location Type: Hybrid

Location: Mountain ViewCaliforniaUnited States

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Salary

💰 $225,000 - $240,000 per year

Job Level

About the role

  • Lead the end-to-end design, development, and deployment of advanced machine learning and statistical models that deliver measurable business outcomes.
  • Collaborate with cross-functional teams — including Product, Engineering, and Client Success — to define data-driven solutions, influence product strategy, and ensure seamless model integration within the Aera platform.
  • Drive experimentation and innovation by exploring new algorithms, techniques, and technologies that enhance model performance, scalability, and interpretability.
  • Translate complex analytical results into clear, actionable insights for technical and non-technical stakeholders, shaping business and product decisions.
  • Define best practices for model governance, versioning, and monitoring to ensure reliability and compliance in production environments.
  • Act as a subject matter expert and thought leader within Data Science, mentoring senior team members and fostering a culture of rigor, innovation, and continuous learning.
  • Partner with leadership to define and refine Aera’s long-term data science roadmap, ensuring alignment with overall organizational and product strategy.
  • Contribute to the evolution of Aera’s Data Science platform through experimentation, evaluation of new tools, and collaboration with Engineering teams.

Requirements

  • Master’s or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
  • 10+ years of experience in applied machine learning, statistical modeling, or AI solution development, with proven success deploying models in production.
  • Strong expertise in Python, R, or similar languages, and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Deep understanding of statistical methods, optimization, and data-driven experimentation.
  • Experience leading large-scale projects and influencing product or platform-level decisions.
  • Excellent communication skills with the ability to translate complex technical concepts into business value.
  • Demonstrated leadership in mentoring, peer development, and cross-functional collaboration.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningstatistical modelingPythonRTensorFlowPyTorchscikit-learnstatistical methodsoptimizationdata-driven experimentation
Soft Skills
communicationmentoringleadershipcollaborationinnovationproblem-solvinginfluencecross-functional teamworkanalytical thinkingcontinuous learning
Certifications
Master’s degreePh.D.