Talent.com
R&D Senior Data Scientist

R&D Senior Data Scientist

Division5Palo Alto, CA, United States
30+ days ago
Job type
  • Full-time
Job description

We are seeking an R&D Senior Data Scientist to drive innovation at the intersection of research and applied machine learning.

In this role, you’ll own the end-to-end lifecycle of advanced ML / DL systems—from research and data strategy to deployment—while shaping our technical roadmap and mentoring peers.

If you are passionate about transforming cutting-edge research into production-ready solutions, this is your opportunity.

Key Responsibilities :

  • End-to-End Model Development : Architect, design, and implement novel ML / DL systems from research to deployment, supporting ML and software engineering teams.
  • Innovation and Research : Proactively explore state-of-the-art algorithms, frameworks, and tools, and translate academic research into practical, impactful applications.
  • Influence Technical Strategy : Shape the AI / ML roadmap through key decisions on model selection, data representation, and MLOps tooling.
  • Mentor and Evangelize : Share knowledge, mentor team members, and promote best practices to elevate the company’s AI / ML capabilities.

Mandatory Skills :

  • 5+ years of applied AI / ML research or senior data science experience.
  • Expert-level Python skills with strong knowledge of the data science ecosystem (Pandas, NumPy, Scikit-learn, Jupyter).
  • Deep hands-on expertise with PyTorch or TensorFlow.
  • Proficiency in at least one OOP language (C#, C++, Java).
  • Strong applied knowledge of statistics, probability, and experimental design.
  • Solid understanding of ML algorithms (regression, classification, clustering, dimensionality reduction) and DL architectures (CNNs, RNNs, Transformers, Diffusion, Generative AI).
  • Strong problem-solving skills for tackling ambiguous and complex research challenges.
  • Comfortable working in international teams.
  • Proactive self-starter with excellent organizational and communication skills.
  • Fluent in English, with curiosity and a continuous learning mindset.

    • Nice to Have

  • Background in Computer Science / Engineering.
  • Familiarity with Agile (Scrum) methodologies.
  • Understanding of cloud concepts and hands-on experience with Azure AI Foundry, Google Vertex AI, or AWS SageMaker.
  • Knowledge of low-level ML programming (CUDA, OpenCL, ROCm).
  • Experience with the full ML lifecycle, including version control (Git, DVC) and MLOps principles.
  • Familiarity with data engineering tools and orchestrators (Apache Spark, Airflow, Kubeflow Pipelines).
  • Public speaking experience and / or contributions to the AI community.
  • A public portfolio (GitHub, Kaggle), academic publications, or experience presenting at conferences / meetups.

    • #J-18808-Ljbffr

    Create a job alert for this search

    Senior Data Scientist • Palo Alto, CA, United States