1 to 25 of 80 Permanent Sentiment Analysis Jobs

organizational effectiveness. As the advanced analytics arm of People Intelligence, the People Data Science team applies statistical modeling, machine learning, and AI-driven analysis to uncover trends and patterns across the employee lifecycle - from hiring to engagement to retention. By transforming people data into meaningful insights, we help DoorDash … e.g., scikit-learn, statsmodels). Proven experience building or applying large language models (LLMs) and NLP-based systems for text summarization, sentiment analysis, or insight extraction. Strong foundation in statistical modeling, causal inference, and experimental design (e.g., regression, clustering, A/B testing, time-series). Experience ...

functional teams to help build sales tools that highlight various outputs from large datasets - including, but not limited to, sales and rebate incentives, competitive analysis, product inventory & location, service & quality data, etc. Looks for opportunities within the business to use their skillsets to improve processes within the team Ability … consumer products reviews and consumer insights analysis. Proficiency in web scraping tools and techniques (e.g., Beautiful Soup, Scrapy, Selenium). Strong experience with data analysis and visualization tools (e.g., Python, R, Tableau, Power BI). Knowledge of social media analytics tools (e.g., Brandwatch, Sprinklr, Talkwalker) and sentiment ...

ROLE Customer Science Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis Create sophisticated customer segmentation using behavioural, transactional, and demographic data Design and build predictive models to enhance personalized customer experiences across all channels Collaborate ...

influence future innovations, and ensure a unified go-to-market strategy. Measure & optimise impact: Use Zendesk analytics and AI performance metrics (sentiment analysis, ticket deflection, time-to-resolution) to demonstrate ROI and inform continuous improvement. Champion AI adoption: Collaborate with Customer Success to drive AI adoption through ...

influence future innovations, and ensure a unified go-to-market strategy. Measure & optimise impact: Use Zendesk analytics and AI performance metrics (sentiment analysis, ticket deflection, time-to-resolution) to demonstrate ROI and inform continuous improvement. Champion AI adoption: Collaborate with Customer Success to drive AI adoption through ...

Rank Adaptation Experience applying machine learning and deep learning methods to a range of NLP-related tasks, such as Text Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction A proven track record of research excellence and a deep understanding of machine learning ...

concise writing skills. Example Data Annotation Potential Scope Field of Study Agent Task Specialty Machine Learning Model training/explanation, bias detection, evaluation metric analysis Deep Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling … regression diagnostics, p-value calculation Data Engineering Data pipeline logic, cleaning steps, schema validation Feature Engineering Variable selection, encoding/normalization strategies Time Series Analysis Forecast modeling, anomaly detection Recommender Systems User/item embedding design, collaborative filtering support Explainable AI (XAI) SHAP/LIME interpretation, fairness flagging Data ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...