Develop and evaluate time series and machine learning forecasting models to predict parcel volumes and operational demand. Collaborate with cross-functional teams to turn data analysis into actionable business recommendations for C-level decision making.
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Search = Data Scientist
Design and deploy clustering and attribution heuristics to transform raw on-chain blockchain activity into actionable intelligence. Build and maintain end-to-end data pipelines that scale across billions of transactions on multiple blockchain networks.
Design and deploy clustering and attribution heuristics to transform raw on-chain blockchain activity into actionable intelligence. Build and maintain end-to-end data pipelines to process billions of transactions across multiple blockchain networks.
Lead technical projects to solve complex marketing data challenges using AI, machine learning, and data engineering. Partner with clients to implement strategic proof of concepts and mentor junior team members to ensure high-quality delivery.
Lead the design and development of an advanced multi-agent AI platform for enterprise knowledge environments. Architect agent frameworks, optimize RAG pipelines, and establish best practices for model evaluation and observability.
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Utilize statistical and predictive modeling techniques to analyze complex clinical and biological datasets to support research initiatives. Develop algorithms, perform data validation, and communicate research findings through visualizations and manuscript preparation.
Leverage consumer data to prioritize product and growth investments while identifying opportunities to improve acquisition, retention, and subscriber growth. Partner with cross-functional teams to turn ambiguous business questions into actionable analyses and experimentation plans.
Lead the design and development of digital twins and AI-driven decision systems to optimize warehouse operations within Stord Labs. Translate experimental results from a micro-fulfillment environment into enterprise-level operational strategies and collaborate with external AI and academic partners.
Define and lead the evaluation strategy for conversational and agentic search to improve chat quality and groundedness. Partner with engineering to productionize evaluation pipelines and influence the product roadmap through data-driven insights.
Define and lead the evaluation strategy for conversational and agentic search, focusing on RAG quality, model selection, and agent routing. Partner with engineering to productionize evaluation pipelines and influence the product roadmap through data-driven insights.
Define and lead the evaluation strategy for conversational and agentic search, focusing on RAG quality, model selection, and agent routing. Partner with engineering to productionize evaluation pipelines and influence the product roadmap through data-driven insights.
Define and lead the evaluation strategy for conversational and agentic search, focusing on RAG quality, model selection, and agent routing. Partner with engineering to productionize evaluation pipelines and influence the product roadmap through data-driven insights.
Define and lead the evaluation strategy for conversational and agentic search, focusing on RAG quality and model performance. Partner with engineering to productionize evaluation pipelines and influence the product roadmap for AI agents.
Design and deploy automated end-to-end processes for quota and incentive lifecycles while leveraging AI to eliminate manual workflows. Translate complex technical data outputs into strategic recommendations and performance metrics for executive leadership.
Lead the end-to-end development and validation of advanced statistical and machine learning models to solve complex healthcare business challenges. Partner with data engineering teams to operationalize models and communicate analytical insights to diverse stakeholders.
You will own the analytical function for a core business area, defining problems, running analyses, and driving outcomes. This includes surfacing insights that inform key decisions and metrics.
You will own the analytical function for a core business area, defining problems, running analyses, and driving outcomes. This includes surfacing insights that inform key decisions and metrics for the team.
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You will be embedded in one of Jerry's core business areas and own the analytical function for that unit end-to-end. This includes defining the right problems, driving outcomes, and surfacing data insights that impact key metrics.
You will be embedded in one of Jerry's core business areas and own the analytical function for that business unit end-to-end. This includes defining the right problems, driving outcomes, and surfacing analytical insights to inform decisions.
You will own the analytical function for a core business area, defining problems, driving insights, and making recommendations to influence key decisions. Your role will involve collaborating with various teams to ensure data-driven outcomes.
You will own the analytical function for a core business area, defining problems, driving insights, and making recommendations. This role involves both analysis and execution to influence key business decisions.
Translate business needs into actionable data insights to optimize product performance and user experience. Develop and maintain scalable analytics infrastructure while fostering a data-driven decision-making culture across cross-functional teams.
The role involves tracking model performance KPIs to detect drift and executing retraining pipelines to maintain accuracy. It also requires deploying models to cloud environments and collaborating with cross-functional teams to ensure compliance and quality.
Analyze complex datasets using Databricks to identify trends and patterns for a high-visibility online product. Leverage statistical methods and AI solutions to provide meaningful interpretations and support client decision-making through dashboards.
The Sr. Data Scientist executes statistical analyses and manages the full lifecycle of AI/ML models from inception to production deployment. They mentor junior data scientists and collaborate with cross-functional stakeholders to solve business problems using machine learning.
The Sr. Data Scientist executes statistical and mathematical analyses to support business decision-making and manages the full lifecycle of AI/ML models from inception to production. They mentor junior data scientists and collaborate with cross-functional stakeholders to translate business problems into technical ML solutions.
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Collaborate with clients and internal teams to solve complex marketing data challenges using data engineering and science solutions. Implement predictive models, audit datasets for accuracy, and develop applications for analytics pipelines to drive business outcomes.
Develop and improve generative models for recommendation systems using LLM structures. Contribute to the creation of APIs and ETLs to optimize user experience and explore new recommendation opportunities within the app.
Lead the technical machine learning area by building an agentic architecture from scratch and managing promotional investment structures. Implement guardrails, monitoring, and risk management for production agents while ensuring low latency and high responsiveness.
Develop and own end-to-end scalable machine learning models for risk assessment, forecasting, and anomaly detection within finance operations. Create Gen-AI applications and collaborate with strategic finance teams to enhance forecasting and data-driven decision-making.
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