NuStar Technologies · 13 hours ago
Data Scientist
Newark, DE
Full-time
Onsite
Senior Level, Lead/Staff
$120K/yr - $135K/yr
10+ years expNuStar Technologies is seeking a Data Scientist with expertise in artificial intelligence and machine learning. The role involves developing and implementing machine learning models for banking and finance, analyzing large datasets, and collaborating with cross-functional teams to deliver data-driven solutions.
AnalyticsConsultingEnterprise Resource Planning (ERP)IT ManagementStaffing Agency
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
Qualification
Required
Must Have Technical/Functional Skills
Primary: Artificial intelligence, ML, LLM
Secondary: Data science, Python, NLP, Agile tools
Experience: 10+
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
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
Preferred
Experience with cloud platforms (AWS, Azure, or GCP) is a plus
Company
NuStar Technologies
NuStar Technologies provides staffing, recruiting, cloud enablement, ERP implementation, analytics, web solution, and managed services.
11-50 employees
H1B Sponsorship
NuStar Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (3)
2022 (1)
2020 (3)
Funding
Current Stage
Early StageCompany data provided by crunchbase