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Staff Data Scientist Jobs

67 Job Offers

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Staff Data Scientist, Watchlist
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Socure seeks a Staff Data Scientist in Sacramento to lead NLP and entity resolution for its Watchlist team. Requires 7+ years in ML, Python expertise, and AML or sanctions screening experience.
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Socure
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Staff Data Scientist, Applied ML
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Staff Data Scientist, Applied ML role in Canada for a hands-on ML practitioner to own production models end-to-end, build RAG systems on a Neo4j knowledge graph, and drive evaluation, monitoring, and retraining. Requires deep ML, SQL, and Python expertise.
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Jobber
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Staff Data Scientist
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Staff Data Scientist role in Berlin with high ownership at Almedia, Europe's #3 fastest-growing company. Lead causal inference, experimentation infrastructure, and pricing models to drive unit economics at scale.
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Almedia
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Staff Data Scientist - Paid Marketing Optimization
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Staff Data Scientist role in London to own creative analytics, bidding signal optimization and causal inference. Requires Python, SQL, Spark and advanced modelling skills. Join Preply's unicorn team with equity, health insurance and learning budget.
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Preply
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Staff Data Scientist
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Lead data science at Airwallex in London as Staff Data Scientist. Requires 8+ years experience, advanced quantitative degree, and expertise in SQL, Python, or R. Mentor teams and drive strategic decisions.
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Airwallex
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Staff Data Scientist, Algorithm, Growth
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Lead data science at Airwallex in Seattle, driving growth through ML, causal inference, and LLM-powered systems. Requires 7+ years experience, advanced quantitative degree, and strong Python/SQL skills.
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Airwallex
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Staff Data Scientist, Forward Deployed
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Lead strategic customer engagements as a Staff Data Scientist in San Francisco. Requires 10+ years deploying ML models in production, strong Python/SQL skills, and forward-deployed or consulting experience with messy customer data.
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6sense
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Staff Data Scientist, Marketing Analytics
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Lead marketing analytics for a 9-figure paid media budget at Chime in San Francisco. Own attribution, incrementality, MMM and experimentation strategy, guiding budget decisions across Marketing, Growth and Finance teams.
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Chime Financial, Inc
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Staff Data Scientist, Dmarts - Quick Commerce
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Lead forecasting and ML innovation as a Staff Data Scientist at Delivery Hero's Dmarts in Berlin. Requires 9+ years in data science, Python, cloud, and LLM expertise to mentor teams and scale production models.
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Delivery Hero
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Staff Data Scientist
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Lead AI innovation as a Staff Data Scientist in Tel Aviv, building production-grade LLM and ML systems for cybersecurity. Requires 5+ years Python, 2+ years LLM expertise, and strong ML foundations.
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Armis
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Staff Data Scientist (Armis/Veza)
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Lead AI innovation in cybersecurity as a Staff Data Scientist at ServiceNow in Tel Aviv. Drive LLM-powered solutions for vulnerability management with Python, AWS, and Spark. Apply your ML expertise to protect the attack surface.
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Armis
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Senior Staff Data Scientist, Flagship
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Senior Staff Data Scientist role at LinkedIn in Mountain View. Requires 7+ years in data science, SQL/Python expertise, A/B testing, and statistical modeling. Lead data-driven strategy and mentor junior team members.
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LinkedIn
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Staff Data Scientist
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Israel, Mulebbis
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Armis
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Sr Staff Data Scientist
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Israel, Mulebbis
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Armis
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Staff Data Scientist
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LinkedIn
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Staff Data Scientist – AI/ML, Generative AI & Agentic Systems
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Sandisk
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Staff Data Scientist (Armis)
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Armis
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Staff Data Scientist – AI/ML, Generative AI & Agentic Systems
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Sandisk
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Staff Data Scientist – AI/ML, Generative AI & Agentic Systems
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Sandisk
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Staff Data Scientist - Experience
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Spotify
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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.