R&D Senior Data ScientistDivision5 • Palo Alto, CA, United States
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R&D Senior Data Scientist
Division5 • Palo Alto, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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. 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.
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 :
Nice to Have
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