

Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Denver, Colorado, for 6+ months, offering remote work. Requires a Bachelor's degree, 5+ years in applied machine learning (2+ in deep learning), proficiency in Python and ML libraries, and banking or financial services experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 17, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Denver, CO
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π§ - Skills detailed
#AI (Artificial Intelligence) #Python #Deep Learning #Computer Science #Neural Networks #Data Science #Azure #Keras #GCP (Google Cloud Platform) #PyTorch #Customer Segmentation #Statistics #ML (Machine Learning) #TensorFlow #Data Enrichment #Cloud #AWS (Amazon Web Services) #Libraries #SageMaker #Airflow #MLflow
Role description
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Position : Senior Data Scientist
Location : Denver, Colorado (Need Locals)
Duration : 6+ Months
Remote
JD
β’ Bachelorβs degree in Computer Science, Statistics, Applied Math, or related field (Masterβs or PhD strongly preferred).
β’ 5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
β’ 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.
β’ Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.
β’ Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.
β’ Experience with customer data enrichments.
β’ Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.
β’ Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.
β’ Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.
β’ 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.
β’ Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).
β’ Experience with CI/CD for ML, feature stores, and real-time inference systems.
β’ Contributions to academic research, open-source ML projects, or ML/AI patents.
Thanks & Regards...
G Naveen Kumar
Email : GavvalaN@suryasys.com
Surya Systems, Inc