Skills
Communication
Python
Tableau
Jira
SQL
Data Visualization
Big Data
Data Mining
Agile Methodology
Problem-solving
Machine Learning
PyTorch
Scikit-Learn
TensorFlow
Deep Learning
Databases
power bi
Azure
AWS
cloud platforms
Agile
Pandas
GCP
Data Science
Artificial Intelligence
Hadoop
OpenAI
Large Language Models
NLP
Job Specifications
Data scientist
Must Have Technical/Functional Skills
Primary: Artificial intelligence, ML, LLM
Secondary: Data science, Python, NLP, Agile tools
Experience: 10+
Roles & Responsibilities
Experience with NLP, deep learning, or time series analysis.
Experience deploying models to production environments.
Knowledge of regulatory requirements and compliance in banking and finance.
Familiarity with MLOps practices and tools.
Experience with Agile methodology and tools (JIRA or Rally)
Proven experience as a Data Scientist in Banking or a similar domain
Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering.
Strong knowledge of statistics, machine learning, and data mining techniques.
Experience with data visualization tools (e.g., Tableau, Power BI).
Experience with Big Data Platforms (Hadoop).
Familiarity with SQL and working with relational databases.
Excellent problem-solving, communication, and collaboration skills.
Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
Analyze large financial datasets to extract insights and support business decisions.
Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation).
Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance.
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
Communicate findings and recommendations through reports, dashboards, and presentations.
Work with data engineers to ensure data quality and pipeline reliability.
Salary Range- $120,000-$135,000 a year
About the Company
NuStar Technolgies is a full service IT consulting company founded in 2013, specializing in IT Training, Staffing and Consulting. NuStar helps companies achieve business objectives by combining top-tier talent with proven processes and leading technology. Our commitment to our customers is reflected throughout our approach. We are intensely selective in our hiring practices and our customer focus is reflected in all areas of our organization. We support our customers and partners with highly experienced and Certified Profess...
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