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Lead a data science team at Starbucks building models and experiments to optimize store operations, personalization, supply chain, and customer experience across the global coffee and retail business.
The Senior Data Scientist will build and deploy machine learning models to optimize Starbucks' global store performance, menu mix, loyalty engagement, and supply chain efficiency. The role involves partnering with business leaders to translate large-scale retail and mobile data into actionable insights.
Senior Data Scientist designing, building, and deploying production-grade Generative AI and machine learning solutions end-to-end within Westpac's Data, Digital & AI team.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Job Description THE FUTURE IS WHAT WE MAKE IT. Senior Advanced Artificial Intelligence Machine Learning Data Scientist Changi, Singapore Start your career by making an impact and real connections with some of the most…
Develops AI-driven solutions for financial forecasting, pricing, and risk management in global markets using generative and agentic AI on cloud platforms.
Build and deploy ML models to predict credit risk for Carvana’s auto loans, using structured and unstructured data to improve decision accuracy and scalability.
Leads data-driven strategy for private equity clients, blending analytics and business insight to identify growth opportunities and shape high-impact decisions using Python, R, and SQL.
Manages end-to-end data projects, designs pipelines, and interprets blockchain data to drive actionable insights. Core tech: blockchain data systems and analysis.
Senior Data Scientist specializing in computational biology to analyze multimodal biological data (omics, imaging) for drug discovery, target identification, and biomarker development using ML and statistical rigor.
Design and build data pipelines, quality frameworks, and tooling that turn multi-modal surgical robotics data into research-ready datasets for AI/ML teams, using Python, SQL, and distributed processing frameworks like Spark and Airflow.
Design and deploy AI/ML models—including generative AI and agentic systems—on the C3 AI Platform for enterprise clients in a client-facing, travel-required role.
Data Scientist at a national security contractor in Camp Lejeune, NC, analyzing complex datasets and building ML models to support Marine Corps Special Operations Command's data-driven decision-making.
Senior Data Scientist developing statistical analysis methods for blood-based cancer detection assays using Python, supporting assay development, analytical validation, QC, and regulatory submissions in a regulated diagnostics environment.
Senior Data Scientist on Plaid's Network Value (Credit) team, performing product analytics, experimentation, and data modeling using SQL, Python, Redshift, Databricks, dbt, and Airflow to shape Credit product strategy and grow the consumer financial network.
Builds and refines credit-risk models for Zopa Bank’s lending platform, using Python and statistical methods to analyze ambiguous business questions and drive better consumer-credit decisions.
Builds AI-driven demand forecasting and promotion optimization models for CPG brands, using messy retail/supply-chain data to improve sales predictions, pricing, and promotional strategies. Works closely with ML engineers to deploy models into Confido’s unified CPG platform.
The Senior Data Scientist will design and implement evaluation methodologies for AI models and agentic workflows, including creating metrics and ground-truth datasets. The role focuses on analyzing model performance and developing automated and human-feedback-based evaluation systems.
As a Senior Data Scientist, you will lead high-impact AI projects for clients in the energy and sustainability sectors, designing technical architectures and mentoring team members. You will use Python, deep learning frameworks, and core data science methodologies to deliver bespoke, measurable AI solutions.
Senior Data Scientist automating operational processes at an insurance company using Python, APIs, GenAI, and No-Code/Low-Code tools, integrating solutions into the existing IT landscape.
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