Design, build, and deploy scalable machine learning and AI solutions, specifically focusing on NLP, LLMs, and Agentic AI workflows. Own the end-to-end ML lifecycle from data exploration and feature engineering to deployment and monitoring in production environments.
Remote Data Scientist Jobs (782)
Search = Data Scientist
Lead the analytical strategy and experimentation frameworks to solve complex business problems across product, growth, and monetization. Partner with senior leadership to translate data findings into actionable recommendations that drive company growth.
Build, deploy, and iterate on production machine learning models for ranking, personalization, and marketplace optimization. Own the end-to-end lifecycle from problem framing and feature engineering to A/B testing and production monitoring.
Build a customer identity and personalization layer to create a unified view of members across insurance and subscription products. Develop recommendation, personalization, and predictive models to drive member engagement and business triggers.
Lead the design, development, and deployment of AI/ML models to enhance educational experiences for the Higher Education business unit. Collaborate cross-functionally with Product, Engineering, and Learning Design teams while guiding junior colleagues on shared projects.
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Partner with cross-functional teams to deliver data-powered tools, automations, and success metrics. Balance speed and rigor to build scalable data products while championing data adoption across the company.
The role involves identifying strategic opportunities to enhance the delivery experience through rigorous experimentation and geospatial data analysis. You will develop statistical models and simulations to guide the product roadmap and democratize data via dashboards.
Lead end-to-end AI risk assessments for Generative AI and LLM use cases to ensure safe and compliant deployment. Partner with cross-functional stakeholders to operationalize AI governance principles and monitor the evolving regulatory landscape in banking.
Design and implement advanced NLU systems to interpret complex clinical text and support medical decision-making. Collaborate with clinical experts and ML engineers to deploy deep learning models into cloud environments.
The role involves owning analytical frameworks to guide the product roadmap and designing rigorous experiments to optimize the delivery experience. You will develop statistical models and simulations to predict performance and democratize data through dashboards for leadership decision-making.
The Data Scientist will deliver data analytics projects and implement high-impact strategies for Visa clients in the Asia Pacific region. Key duties include driving credit card portfolio strategies and acting as an analytics advocate to unlock business value.
Lead the development of data-driven healthcare products by enhancing algorithms and translating model outputs into actionable patient outcomes. Act as a strategic advisor to clients, driving product implementation and aligning capabilities with business needs.
Design and deploy AI-powered internal applications, copilots, and scalable workflow accelerators using Generative AI. Build reusable AI components and retrieval pipelines while maintaining statistical models to support organizational automation and optimization.
Develop and implement AI and data science models to solve industrial use cases in manufacturing and operations. Collaborate with stakeholders and data engineers to translate business challenges into scalable, data-driven solutions.
Senior Data Scientist, Long Island City, New York
Bloomingdale's
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Full Time
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2 Weeks Ago
Bloomingdale's
Design and implement advanced data science models and machine learning solutions to solve business problems across marketing, merchandising, and store operations. Collaborate with cross-functional teams to derive actionable insights and develop scalable AI solutions using big data environments.
Own marketing measurement and attribution to improve the efficiency of paid marketing investments across various channels and markets. Build scalable reporting frameworks and dashboards to turn data into actionable business decisions for growth.
Develop and implement end-to-end data science and machine learning strategies to solve complex business problems. Collaborate with cross-functional teams and communicate technical insights to both technical and non-technical stakeholders.
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The intern will collect, validate, and label text data to improve the quality and effectiveness of an in-house Large Language Model. They will collaborate with data science and engineering teams through daily standups and production projects.
Data Scientist, Forecasting and Energy Storage System Optimization
Stem, Inc.
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Full Time
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2 Weeks Ago
Stem, Inc.
Develop and deploy machine learning models and statistical analyses to optimize energy storage and solar asset performance. Build data pipelines and create visualizations to communicate insights to stakeholders within the PowerTrack platform.
Architect systems to measure, validate, and optimize GenAI systems for player-facing game experiences and internal agentic tools. Build robust evaluation pipelines using automated metrics, human-in-the-loop grading, and safety protocols to ensure immersive and safe AI interactions.
Senior Real-World Data Analytics Consultant/Senior Data Scientist Consultant (Remote)
ClinChoice
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Full Time
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2 Weeks Ago
ClinChoice
Lead the development of analysis specifications and programs for Real-World Data research across diverse therapeutic areas. Ensure methodological rigor through patient cohort development and the validation of key variables.
Serve as the technical authority on relevance metrics and evaluation for feeds, search, and recommendations. Partner with ML and product teams to translate model performance into user impact and influence long-term product strategy.
Serve as the technical authority on relevance metrics and evaluation for feeds, search, and recommendations. Partner with ML and product teams to translate model performance into user impact and influence long-term product strategy.
Serve as the technical authority on experimentation methodology to solve complex causal inference problems involving network effects and spillovers. Influence product strategy by designing rigorous experimental frameworks and mentoring other data scientists on statistical rigor.
Serve as the technical authority on experimentation methodology to solve complex causal inference problems involving network effects and spillovers. Influence product strategy by designing rigorous experimental frameworks and mentoring other data scientists across the Consumer organization.
Lead data science initiatives to drive business profitability and improve customer experience through the development of advanced analytics infrastructure. Responsibilities include designing algorithms, mentoring junior data scientists, and collaborating with cross-functional partners to implement data-driven solutions.
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Design and implement AI-native agentic systems and multi-agent workflows to extract structured knowledge from historical and genealogical records. Innovate using state-of-the-art AI for tasks like OCR, NER, and relation extraction while collaborating with ML Ops for cloud deployment.
The role involves cleaning and analyzing large datasets to develop predictive models and machine learning algorithms. The Data Scientist will communicate findings to stakeholders through data visualizations and collaborate with cross-functional teams to drive data-driven initiatives.
Drive RAG retrieval relevance and LLM answer quality by defining evaluation datasets and tuning hybrid search and embedding models. Collaborate with cross-functional teams to translate user feedback into actionable metrics and improve model performance.
Lead the definition of product strategy through measurement, metrics design, and causal analyses to drive user and revenue growth. Develop action-oriented insights and mentor junior data scientists to improve overall data literacy and decision-making.
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