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Staff Data Scientist Jobs

44 Job Offers

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Staff Data Scientist
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Join Intercom's RAD team in Dublin as a Staff Data Scientist. Partner with GTM, Sales, and Solutions to drive growth through data analysis, modeling, and actionable insights. Leverage your 5+ years of experience, excellent SQL, and communication skills to impact commercial strategy. Enjoy competi...
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Ireland , Dublin
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Not provided
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Intercom
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Until further notice
Staff Data Scientist, Listing Understanding
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Join Airbnb's Listing Understanding team as a Staff Data Scientist. Leverage 9+ years of ML experience, specializing in Computer Vision (CLIP/ViT) and causal inference, to build multimodal models from photo data. You will define the roadmap, prototype features, and measure impact on search and bo...
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United States
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194000.00 - 240000.00 USD / Year
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Airbnb
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Until further notice
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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Staff Data Scientist
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Lead AI-driven innovation as a Staff Data Scientist in Amsterdam. Architect scalable ML systems, leveraging 7+ years' experience and expertise in NLP, Generative AI, and Recommender Systems. Guide a high-performing team, establish best practices, and shape the future of digital experiences with O...
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Netherlands , Amsterdam
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Not provided
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Optimizely
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Until further notice
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.

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