Own end-to-end data science by translating ambiguous business questions into robust analysis and reproducible internal systems. Partner with GTM, product, and finance leaders to surface opportunities and support fundraising readiness.
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Search = Data Scientist
Design and manage search and recommendation models to enhance content matching and distribution efficiency. Lead the development of core recommendation modules and collaborate with cross-functional teams to define success metrics.
Develop and own measurement frameworks, including MMM and incrementality testing, to optimize capital allocation and growth quality. Build scalable analytical systems and production-grade models to drive long-term enterprise value and customer LTV.
Lead the data science strategy for complex customer engagements by turning ambiguous business problems into scalable AI solutions. Provide technical leadership in modeling, evaluation, and productionization while mentoring other data scientists and architects.
The role involves developing AI-powered cloud solutions and operational models to solve complex business challenges for strategic customers. You will manage data acquisition, evaluate model performance, and contribute to industry thought leadership and best practices.
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Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)
Target
·
Full Time
·
1 Week Ago
Target
Provide technical leadership for machine learning systems powering digital recommendations and personalization experiences at scale. Lead the design, development, and deployment of models while mentoring other scientists and shaping the technical direction of recommendation capabilities.
Architect and own advanced modeling strategies to combat fraud, abuse, and account takeover patterns. Lead statistical innovation and partner with ML engineering to build adversarial-resistant production systems.
The role involves leveraging data science and research to solve business problems across Sales, Marketing, Finance, and HR. Key duties include building AI models, developing dashboards, and communicating insights to support business decision-making.
Own end-to-end data science projects to solve business problems across Sales, Marketing, Finance, and HR. Design and implement production-ready data pipelines and predictive models to provide actionable insights and forecasts.
Own the clinical data strategy and quality across claims, EHR, and ADT sources to ensure model accuracy. Build and deploy production-grade ML/AI models and provide technical leadership and mentorship to the data science team.
Lead the development and deployment of AI/ML models and LLM-based tools to optimize clinical workflows and healthcare decision-making. Collaborate cross-functionally to build Python-based data pipelines and provide technical leadership to junior data scientists.
Design and maintain data pipelines to analyze behavioral health datasets and implement AI/ML models to identify clinical trends. Partner with clinical teams to validate hypotheses and translate technical findings into scientific publications and visualizations.
Senior Data Scientist, Sales
Wealthsimple Technologies
·
Full Time
·
1 Week Ago
Wealthsimple Technologies
Lead high-priority initiatives to build and maintain data models and machine learning models that support the Commercial team and AI Voice Agent program. Collaborate with cross-functional stakeholders to design experiments and create reporting dashboards that impact the company's north star metrics.
The role involves developing and maintaining business-critical software systems using a full-stack approach to applied data science. Key tasks include prototyping, productionizing AI models, and designing controlled experiments for audio and video processing.
Own end-to-end analytical problems by combining statistics and machine learning to improve retail AI product performance. Partner with cross-functional teams to define metrics, build predictive models, and deliver actionable insights.
Lead the full lifecycle of AI/ML initiatives from data acquisition and model development to production deployment and operational monitoring. Collaborate with stakeholders to design predictive models and probabilistic frameworks that generate measurable business value.
Design, build, and monitor machine learning models for identity verification, focusing on document detection, classification, and fraud detection. Own the end-to-end process from prototyping to production deployment to improve verification accuracy and reduce false acceptance rates.
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Collaborate with analysts and SMEs to define business problems and develop advanced analytical solutions using predictive modeling and machine learning. Extract and integrate data from structured and unstructured sources to create scalable, automated solutions and translate technical findings for business stakeholders.
Develops scalable machine learning and optimization solutions to deliver business insights and value. Manages the full model lifecycle from data manipulation and development to deployment within risk management frameworks.
Lead the design and execution of data science projects to advance AI-driven dental products and business outcomes. Analyze complex datasets to build statistical models and partner with engineering teams to productionize ML solutions.
Design and execute terminology libraries and source-to-target mappings to ensure data integrity across clinical research products. Develop scalable models to automate data mapping and contribute to the extension of healthcare ontologies and data standards.
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.
Lead the design and deployment of advanced AI solutions, bridging predictive algorithms with generative systems to automate enterprise decision-making. Architect GenAI workflows and mentor cross-functional teams to transition prototypes into scalable production systems.
Lead the design and deployment of advanced AI solutions, bridging predictive algorithms with generative systems to automate enterprise decision-making. Architect GenAI workflows and mentor cross-functional teams to transition prototypes into scalable production systems.
Architect and implement goal-setting and decomposition mechanisms for autonomous AI agents in dynamic environments. Develop evaluation frameworks to ensure agent alignment with human intent and operational reliability.
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The role involves performing data science tasks to support the consumer side of the Reddit community. The focus is on leveraging data to improve user experience and community engagement.
Data Scientist - Production Engineering
Cordial Experience Inc.
·
Full Time
·
1 Week Ago
Cordial Experience Inc.
Operationalize, optimize, and scale data science models and systems transitioning into production. This includes improving efficiency of large datasets, maintaining production pipelines, and collaborating with research data scientists to ensure model correctness.
Act as a data science business partner to design and deliver high-impact AI/ML solutions for fraud, credit risk, and collections. Collaborate with sales and solutions consulting to shape commercial proposals and provide technical credibility to senior stakeholders.
Design, build, and deploy autonomous AI agents and advanced machine learning models to optimize pricing, sales, and customer experiences. Manage the full AI development lifecycle from research and experimentation to production deployment and monitoring.
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