Red Oak Technologies
This range is provided by Red Oak Technologies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$85.00/hr - $100.00/hr Direct message the job poster from Red Oak Technologies Sr. Technical Recruiter at Red Oak Technologies
Red Oak Technologies is a leading provider of comprehensive resourcing solutions across a variety of industries and sectors including IT, Marketing, Finance, Business Operations, Manufacturing and Engineering. Our client is a
financial services
company.
They are looking for a
Sr. Data Scientist - Product
to join their team. This role is a
CONTRACT
position. Position will be
REMOTE
.
Candidates must be residing within commutable distance to
Denver, CO. **Remote** **Contract** Position Summary: 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. Position Duties: 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. Position 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 Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it’s like to be at the top; connect with one of our recruiters and apply today. Red Oak Tech: Quality | Talent | Integrity Note: Compensation rates are based on years of experience and/or level of skills relevant to the opportunity. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Contract Job function
Job function Information Technology and Engineering Industries Financial Services, Banking, and Consumer Services Referrals increase your chances of interviewing at Red Oak Technologies by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Disability insurance Get notified when a new job is posted. Sign in to set job alerts for “Data Scientist” roles.
Highlands Ranch, CO $160,000.00-$170,000.00 1 day ago Denver, CO $150,000.00-$186,000.00 3 days ago Denver, CO $184,000.00-$250,000.00 4 weeks ago Denver, CO $150,000.00-$220,000.00 5 days ago Denver, CO $175,000.00-$225,000.00 1 month ago Denver, CO $100,000.00-$165,000.00 3 days ago Software Engineer, Devices - United States
Denver, CO $74,000.00-$140,000.00 2 days ago Denver, CO $150,000.00-$180,000.00 4 weeks ago Software Engineer, Infrastructure Automation
Denver, CO $85,000.00-$105,000.00 5 months ago Denver, CO $70,880.00-$106,320.00 2 weeks ago Denver, CO $180,000.00-$220,000.00 1 month ago Denver, CO $140,000.00-$180,000.00 3 days ago Denver, CO $80,000.00-$105,000.00 7 months ago Denver, CO $175,000.00-$250,000.00 5 hours ago Denver, CO $140,000.00-$165,000.00 1 month ago Denver, CO $150,000.00-$180,000.00 2 weeks ago Senior Software Engineer, Device Management - United States
Denver, CO $150,000.00-$200,000.00 4 hours ago Denver, CO $90,000.00-$110,000.00 2 weeks ago Broomfield, CO $77,618.50-$97,023.13 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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$85.00/hr - $100.00/hr Direct message the job poster from Red Oak Technologies Sr. Technical Recruiter at Red Oak Technologies
Red Oak Technologies is a leading provider of comprehensive resourcing solutions across a variety of industries and sectors including IT, Marketing, Finance, Business Operations, Manufacturing and Engineering. Our client is a
financial services
company.
They are looking for a
Sr. Data Scientist - Product
to join their team. This role is a
CONTRACT
position. Position will be
REMOTE
.
Candidates must be residing within commutable distance to
Denver, CO. **Remote** **Contract** Position Summary: 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. Position Duties: 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. Position 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 Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it’s like to be at the top; connect with one of our recruiters and apply today. Red Oak Tech: Quality | Talent | Integrity Note: Compensation rates are based on years of experience and/or level of skills relevant to the opportunity. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Contract Job function
Job function Information Technology and Engineering Industries Financial Services, Banking, and Consumer Services Referrals increase your chances of interviewing at Red Oak Technologies by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Disability insurance Get notified when a new job is posted. Sign in to set job alerts for “Data Scientist” roles.
Highlands Ranch, CO $160,000.00-$170,000.00 1 day ago Denver, CO $150,000.00-$186,000.00 3 days ago Denver, CO $184,000.00-$250,000.00 4 weeks ago Denver, CO $150,000.00-$220,000.00 5 days ago Denver, CO $175,000.00-$225,000.00 1 month ago Denver, CO $100,000.00-$165,000.00 3 days ago Software Engineer, Devices - United States
Denver, CO $74,000.00-$140,000.00 2 days ago Denver, CO $150,000.00-$180,000.00 4 weeks ago Software Engineer, Infrastructure Automation
Denver, CO $85,000.00-$105,000.00 5 months ago Denver, CO $70,880.00-$106,320.00 2 weeks ago Denver, CO $180,000.00-$220,000.00 1 month ago Denver, CO $140,000.00-$180,000.00 3 days ago Denver, CO $80,000.00-$105,000.00 7 months ago Denver, CO $175,000.00-$250,000.00 5 hours ago Denver, CO $140,000.00-$165,000.00 1 month ago Denver, CO $150,000.00-$180,000.00 2 weeks ago Senior Software Engineer, Device Management - United States
Denver, CO $150,000.00-$200,000.00 4 hours ago Denver, CO $90,000.00-$110,000.00 2 weeks ago Broomfield, CO $77,618.50-$97,023.13 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr