Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Web Services
Apache Hadoop
Apache Spark
Banking
Big Data
Cloud Computing
Collaboration
Data Science
Financial Services
Good Clinical Practice
Google Cloud Platform
Machine Learning (ML)
Microsoft
Microsoft Azure
Microsoft Power BI
Predictive Analytics
PyTorch
Python
R
SOW
Statistics
Tableau
TensorFlow
Visualization
scikit-learn
Job Details
Role: Data Scientist
Location: San Francisco, CA- (Hybrid)
Duration: Long Term Contract
Statement of Work:
Design, implement, and optimize data models and predictive analytics solutions for enterprise banking applications.
Task Description:
A Data Scientist will perform statistical analysis, build machine learning models, generate actionable insights, and collaborate with engineering and business teams to drive data-informed strategies.
Required Skills / Level of Experience:
- Bachelor s or master s degree in computer science, Statistics, Data Science, or related field
- 5 9 years of experience in data science or analytics
- Proficiency in Python, R, and SQL
- Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Strong experience with cloud platforms (AWS, Azure, Google Cloud Platform) for data workloads
- Data visualization skills with Power BI, Tableau, or similar tools
Nice to Have Skills:
- Certifications: Microsoft Certified: Azure Data Scientist Associate, AWS Machine Learning Specialty
- Experience with Big Data tools (Spark, Hadoop)
- Knowledge of financial services domain
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.