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Staff Data Scientist Jobs (On-site work)

17 Job Offers

Member Of Technical Staff (Data Scientist)
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Join Perplexity as a Member of Technical Staff (Data Scientist) in San Francisco. We seek 6-8+ years of experience in data science or analytics engineering, with deep SQL expertise and a builder mentality. You'll build AI agents that autonomously conduct full analyses—from hypothesis to recommend...
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United States , San Francisco
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Salary
175000.00 - 330000.00 USD / Year
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Perplexity
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Senior Staff Data Scientist (AI Solutions - Machines)
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Senior Staff Data Scientist (AI Solutions - Machines) at CyberArk in Petah Tikva, Israel. Drive innovation in identity security and Agentic AI by designing and deploying advanced LLM, RAG, and Agentic AI models. Requires 2-4 years of hands-on Data Science experience, an MSc with a thesis, and str...
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Israel , Petah Tikva
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Not provided
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Palo Alto Networks
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Staff Data Scientist, Commercial Analytics
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Join 10x Genomics as a Staff Data Scientist in Pleasanton, CA, to own commercial analytics and rebuild sales forecasting from spreadsheets to production ML pipelines. You’ll deploy churn risk and territory performance models using Python, SQL, and AWS, driving impact in a high-growth life science...
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United States , Pleasanton
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Salary
198500.00 - 268500.00 USD / Year
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10x Genomics
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Member of Technical Staff, Data Scientist
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Join Microsoft AI as a Data Scientist to shape the future of Copilot. You will develop metrics, drive product insights, and lead A/B experimentation for personal AI. Requires a PhD/MS/BS in Data Science or related field with 1-7+ years experience. Based in Mountain View, CA, this role offers the ...
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United States , Mountain View
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119800.00 USD / Year
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Microsoft Corporation
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Member of Technical Staff - Data Scientist
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Join Microsoft AI in Zurich to shape the next generation of frontier models. As a Data Scientist, you'll design evaluations, build scalable data pipelines, and run post-training experiments like RLHF. Apply your hands-on LLM experience to turn raw capability into reliable, real-world performance.
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Switzerland , Zürich
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Microsoft Corporation
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Staff Data Scientist, Analytics (Product)
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Singapore , Singapore
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Airwallex
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Staff Data Scientist, Analytics (Revenue Strategy)
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Singapore , Singapore
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Airwallex
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Staff Data Scientist, GTM Analytics
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Singapore , Singapore
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Airwallex
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Staff Data Scientist, Analytics
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Singapore , Singapore
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Airwallex
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Staff Data Scientist, Sales Analytics
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Singapore , Singapore
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Airwallex
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Staff Data Scientist, Revenue
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Singapore , Singapore
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Airwallex
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Staff Data Scientist
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Singapore , Singapore
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Airwallex
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Staff Data Scientist, Analytics (Payments)
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Singapore , Singapore
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Airwallex
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Staff Data Scientist
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Singapore , Singapore
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Airwallex
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Staff Data Scientist
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Canada , Calgary
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Neo Financial
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Member of Technical Staff - Data Scientist
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Join Microsoft AI as a Data Scientist to shape the next generation of frontier models. You will design evaluations, build scalable data pipelines, and produce high-quality training data in Mountain View. This role requires a strong engineering background and expertise in Python to turn raw model ...
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United States , Mountain View
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Salary
119800.00 - 234700.00 USD / Year
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Microsoft Corporation
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Senior or Staff Data Scientist, Recommendations
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Join Suno as the founding Recommendation Data Scientist in San Francisco. Build music discovery systems from the ground up, using Python, SQL, and ML to shape how millions engage with music. Enjoy equity, unlimited PTO, and great benefits while collaborating cross-functionally in a creative, impa...
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United States , San Francisco
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200000.00 - 300000.00 USD / Year
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Suno
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About the Staff Data Scientist role

Discover the pinnacle of data-driven careers with Staff Data Scientist jobs. This senior-level role represents a critical leadership position within technology and data science teams, where professionals translate complex data into transformative business strategy and scalable machine learning solutions. Staff Data Scientists operate at the intersection of advanced analytics, engineering, and cross-functional leadership, driving innovation and measurable impact across entire organizations.

Typically, individuals in this profession are entrusted with end-to-end ownership of high-stakes data science initiatives. Common responsibilities include architecting and deploying sophisticated machine learning models into production environments, ensuring they are robust, scalable, and deliver continuous value. They conduct deep exploratory data analysis to uncover hidden insights and identify new opportunities for growth, optimization, or product enhancement. A key aspect of the role involves defining key performance indicators and north-star metrics, then designing and analyzing A/B tests and experiments to directly influence business outcomes. Furthermore, Staff Data Scientists are expected to provide technical mentorship, establish best practices in MLOps and data CI/CD, and collaborate closely with executive stakeholders, product managers, and engineering teams to align data science roadmaps with overarching company goals.

The typical skill set for these senior roles is both deep and broad. A strong advanced degree (MS or PhD) in a quantitative field like Computer Science, Statistics, or Applied Mathematics is commonly expected. Candidates must possess expert-level proficiency in programming languages such as Python and SQL, along with mastery of machine learning libraries and frameworks for everything from classical statistics to cutting-edge neural networks and, increasingly, Generative AI and LLMs. Beyond technical acumen, successful Staff Data Scientists demonstrate exceptional business acuity, with the ability to communicate complex findings to non-technical audiences and influence strategic decisions. They exhibit a proactive, hypothesis-driven mindset, excelling in problem-solving, project leadership, and navigating ambiguity to deliver results.

For seasoned data scientists seeking to leverage their expertise at a strategic level, Staff Data Scientist jobs offer a challenging and rewarding path to shape the future of data-driven enterprises. Explore opportunities where you can lead innovation, build production-grade AI systems, and drive tangible business value at scale.