Get new jobs for this search by email

Senior Data Scientist (Product) at Eliassen Group in Boise, Idaho, United States Job Description Senior Data Scientist (Product) Anywhere Type: Contract Category: Data Industry: Financial Services Workplace Type: Remote Reference ID: JN -072025-102822 Date Posted: 07/10/2025 Shortcut: + Description + Recommended Jobs Description: 100% Remote Our client, an industry leader in financial services and money transfers, has an excellent opportunity for a Senior Data Scientist (Product) to work on a 6+ month contract. Work will be remote, candidates local to Denver preferred. The Senior Data Scientist will 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 a direct impact on users and business performance. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $75 - $87 / hr. w2 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. Experience Requirements: + 5+ To view full details and how to apply, please login or create a Job Seeker account