Senior Data Scientist
Denver, CO · On-site
... IoU, perplexity) based on the use case. Collaborate with product managers and engineers to ... Proven track record of building, evaluating, and deploying machine learning models at scale in ...
Senior Data Scientist
Denver, CO · On-site
... IoU, perplexity) based on the use case. Collaborate with product managers and engineers to ... Proven track record of building, evaluating, and deploying machine learning models at scale in ...
At VF, we strive to foster a culture of belonging based on respect, connection, openness, and ... Perplexity). Architect and evolve a composable, headless commerce frontend leveraging modern ...
At VF, we strive to foster a culture of belonging based on respect, connection, openness, and ... Perplexity). Architect and evolve a composable, headless commerce frontend leveraging modern ...
At VF, we strive to foster a culture of belonging based on respect, connection, openness, and ... Perplexity). • Architect and evolve a composable, headless commerce frontend leveraging modern ...
At VF, we strive to foster a culture of belonging based on respect, connection, openness, and ... Perplexity). • Architect and evolve a composable, headless commerce frontend leveraging modern ...
Content Manager - Marketing
Denver, CO · On-site
$100K/yr
At TrackVia, you'll join a collaborative, innovative team focused on helping businesses transform ... Perplexity, and other large language model (LLM) tools. * Conduct keyword research and implement ...
Quick apply
Content Manager - Marketing
Denver, CO · On-site
$100K/yr
At TrackVia, you'll join a collaborative, innovative team focused on helping businesses transform ... Perplexity, and other large language model (LLM) tools. * Conduct keyword research and implement ...
... at the edge of the Internet. The platform is designed to take advantage of the modern internet, to ... Gemini, Perplexity, and Google AI Overviews easily index and cite our technology. * Execute ...
... at the edge of the Internet. The platform is designed to take advantage of the modern internet, to ... Gemini, Perplexity, and Google AI Overviews easily index and cite our technology. * Execute ...
At Peaksware, we don't just build products. We build communities of motivated people chasing ... Perplexity, and emerging platforms * Audit and optimize structured data (schema.org markup) to make ...
Quick apply
At Peaksware, we don't just build products. We build communities of motivated people chasing ... Perplexity, and emerging platforms * Audit and optimize structured data (schema.org markup) to make ...
At Peaksware, we don't just build products. We build communities of motivated people chasing ... Perplexity, and emerging platforms * Audit and optimize structured data (schema.org markup) to make ...
At Peaksware, we don't just build products. We build communities of motivated people chasing ... Perplexity, and emerging platforms * Audit and optimize structured data (schema.org markup) to make ...
At Peaksware, we don't just build products. We build communities of motivated people chasing ... Perplexity, and emerging platforms * Audit and optimize structured data (schema.org markup) to make ...
At Peaksware, we don't just build products. We build communities of motivated people chasing ... Perplexity, and emerging platforms * Audit and optimize structured data (schema.org markup) to make ...
At Perplexity information
What is the difference between At Perplexity vs Data Analyst?
| Aspect | At Perplexity | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in Data Science, Statistics, or related field | Bachelor's in Data Science, Statistics, or related field |
| Work Environment | Tech company, collaborative teams, fast-paced | Corporate or agency settings, analytical teams, office or remote |
| Employer & Industry Usage | Tech startups, AI companies, data-driven firms | Business, finance, healthcare, marketing sectors |
| Common Search & Comparison | At Perplexity vs Data Analyst | At Perplexity vs Data Analyst |
Both roles require similar educational backgrounds and work in data-driven environments. However, At Perplexity may focus more on AI and machine learning applications, while Data Analysts typically handle broader data interpretation and reporting across various industries.
How does working at Perplexity foster collaboration between engineering and product teams?
At Perplexity, collaboration between engineering and product teams is central to the company's workflow. Cross-functional teams participate in regular stand-ups, sprint planning, and design reviews to ensure alignment on project goals and priorities. This structure encourages transparent communication and rapid iteration, allowing team members to share insights and address challenges proactively. As a result, employees gain exposure to diverse perspectives and enjoy opportunities to contribute to both technical and strategic decision-making.
What are 'At Perplexity' jobs?
'At Perplexity' jobs refer to positions available at Perplexity AI, an artificial intelligence company focused on developing advanced search and information retrieval tools. Employees at Perplexity work on cutting-edge AI technologies, including natural language processing, machine learning, and user experience design. Roles may include engineering, research, product management, and customer support. Working at Perplexity often involves collaborating with a talented team to build innovative products that help users find information more efficiently. The company is known for fostering a culture of curiosity, innovation, and continuous learning.
What are the key skills and qualifications needed to thrive as an employee at Perplexity, and why are they important?
To thrive at Perplexity, you need a strong background in fields such as artificial intelligence, machine learning, or software engineering, often backed by relevant degrees or industry experience. Expertise with programming languages like Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and cloud platforms is typically required. Strong problem-solving abilities, collaboration, and a passion for innovation are essential soft skills for contributing to a fast-moving tech environment. These skills and qualities are crucial for driving product development and maintaining Perplexity’s competitive edge in AI-driven solutions.
What are popular job titles related to At Perplexity jobs in Colorado? For At Perplexity jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching At Perplexity jobs in Colorado look for? The top searched job categories for At Perplexity jobs in Colorado are:
Job description
Overview:
Job Title: Senior Data Scientist - Knowledge Domain: Product (Job ID: 2099)
Location: Work From Home - USA, Denver, Colorado 80237 - look for locals
Duration: July 15, 2025 - February 27, 2026
Company: Western Union
Hire Type: Contractor (Contract Only)
Standard Hours per Week: 40
JOB DESCRIPTION
Senior Data Scientist - Knowledge Domain: Product
We are seeking a technically advanced and product-oriented Senior Data Scientist to lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally to create and scale real-world AI applications that have direct impact on users and business performance.
Role Responsibilities:
Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.
Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.
Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.
Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.
Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.
Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).
Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.
Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services formulating AI data solutions that allow us to leverage our data to know our customers better and target our resources for better market penetration and focused attention and education.
Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.
Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.
Experience with customer data enrichments.
Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.
Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.
Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.
Hands-on experience with real-world applications of deep learning, such as recommendation engines, fraud detection, customer segmentation, document summarization, image recognition, or speech processing.
Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).
Experience with CI/CD for ML, feature stores, and real-time inference systems.
Contributions to academic research, open-source ML projects, or ML/AI patents.
Skills:
Knowledge Domain
Job Title: Senior Data Scientist - Knowledge Domain: Product (Job ID: 2099)
Location: Work From Home - USA, Denver, Colorado 80237 - look for locals
Duration: July 15, 2025 - February 27, 2026
Company: Western Union
Hire Type: Contractor (Contract Only)
Standard Hours per Week: 40
JOB DESCRIPTION
Senior Data Scientist - Knowledge Domain: Product
We are seeking a technically advanced and product-oriented Senior Data Scientist to lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally to create and scale real-world AI applications that have direct impact on users and business performance.
Role Responsibilities:
Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.
Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.
Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.
Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.
Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.
Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).
Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.
Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services formulating AI data solutions that allow us to leverage our data to know our customers better and target our resources for better market penetration and focused attention and education.
Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.
Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.
Experience with customer data enrichments.
Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.
Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.
Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.
Hands-on experience with real-world applications of deep learning, such as recommendation engines, fraud detection, customer segmentation, document summarization, image recognition, or speech processing.
Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).
Experience with CI/CD for ML, feature stores, and real-time inference systems.
Contributions to academic research, open-source ML projects, or ML/AI patents.
Skills:
Knowledge Domain