Data Intelligence - Data Scientist

Ampcus Inc; Washington (District of Columbia); On-site; USD 100,000 - 130,000; Full time

Job summary

Ampcus Inc. is seeking a highly motivated Data Scientist to join their team in Washington, DC. The ideal candidate will have experience in machine learning and predictive modeling, and be skilled in using AWS SageMaker for developing generative AI solutions.

This role involves developing algorithms, providing insights from data, and creating automated systems to enhance decision-making. A Master's degree or Ph.D. in STEM is preferred, along with at least 2 years of relevant experience.

Qualifications

• Master's or Ph.D. in a relevant STEM field with 2 years, or Bachelor's with 7 years of experience.
• Proficiency in predictive modeling and machine learning.
• Experience with Generative AI solutions.

Responsibilities

• Develop algorithms and build predictive analytics.
• Provide insights to the team about data interpretation.
• Create automated anomaly detection systems.

Skills

AWS SageMaker

Machine Learning

Data Mining

Predictive Modeling

Generative AI

Education

Master's Degree or Ph.D. in STEM

Bachelor's Degree in STEM

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Scientist - 49417-1

Job Location: Washington, DC

Position Details

• Position: Data Scientist - 49417-1
• Duration: 12 Months

Additional Skills

• AWS SageMaker / AI & ML / Model development / Gen AI development.

Business Justification

FEP Local systems provides Machine Learning service to FEP Client plans to improve claim processing, provider prediction, and automation that reducing human intervention process. As extension of ML/AI service to other business cases and additional plans joined to this service, we need additional resources to help to development ML program with FEP Local development team.

Responsibilities

• Develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.
• Provide the team with a deep understanding of their data, what it all means, and how they can use it.
• Help with discovering the information hidden in vast amounts of data, and help with making smarter decisions to deliver even better products.
• Applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with products.
• Development new ML model(s) as well as maintaining existing ones and their processes.
• Development Gen AI solution using AI platform like AWS SageMaker, AWS Bedrock, AWS AgentCore.
• Select features, building and optimizing classifiers using machine learning techniques, data mining using state-of-the-art methods, and, enhancing data collection procedures to include information that is relevant for building analytic systems.
• Responsibilities will also include processing, cleansing, and verifying the integrity of data used for analysis and doing ad-hoc analysis and presenting results in a clear manner.
• Creating automated anomaly detection systems and constant tracking of its performance.

Requirements

• Master's Degree or Ph.D. in STEM with 2 years preferred OR Bachelor’s Degree in STEM with 7 years.
• Experience in predictive modeling, data science, machine learning, or user and entity behavior analytic development.
• Experience in developing predictive, prescriptive, optimization, and forecasting models, including the use of contemporary techniques such as and not limited to support vector machines, neural networks, and gradient boosting.
• Experience in developing of Generative AI solution with LLM and custom model to provide AI solution to business.
• Experience in interpreting results from statistical and mathematical models.