Senior Data Science/Machine Learning Engineer

ICA, Inc.

Senior Data Science/Machine Learning Engineer at ICA utilizing machine learning techniques to solve complex problems and enhance products/services. Collaborating with cross-functional teams to advance AI capabilities.

Posted 5/14/2026full-timeRemote • Virginia • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudHadoopPythonSparkSQL

About the role

Key responsibilities & impact

Identify Opportunities: Collaborate with internal and external stakeholders to uncover and define data-driven opportunities that align with strategic business goals.
Data Analysis & Modeling: Mine and analyze complex datasets from company and client databases to drive product and business optimization strategies, using both traditional statistical techniques and state-of-the-art machine learning approaches.
Assess the effectiveness and accuracy of new data sources and data gathering techniques, including evaluating and implementing methods for acquiring and processing large volumes of text data.
Perform data processing using State of the Art LLM Models and technologies
Innovation & Strategy: Assess the effectiveness of new data sources and data gathering techniques, identifying ways to enhance the organization’s data strategy with novel ML and AI methods.
Client-Facing Presentations: Develop compelling presentations and demos to showcase analytical solutions and insights to both technical and non-technical audiences, including clients and senior management.
Predictive Modeling & Optimization: Use advanced statistical and machine learning approaches to drive improvements in customer engagement, product performance, and business processes.
Model Monitoring: Establish processes and tools to track model performance, data accuracy, and reliability over time. Continuously iterate on models to meet evolving business needs and industry best practices.

Requirements

What you’ll need

5+ years of overall professional experience in data science, analytics, or a related field
At least 2–3 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering)
Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field
Technical Proficiency: Coding knowledge and experience with Python
Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development
Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks
Familiarity with LLM evaluation, interpretability, and best practices
Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, etc.)
Familiarity with AWS services (Athena, S3, Glue, SageMaker, Bedrock) for scalable model development
NLP Techniques (NER, Information Extraction, Text Categorization, Document Parsing)
Preferred: exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services.
Preferred: experience with Document Processing
Ability to obtain a Public Trust Clearance

Benefits

Comp & perks

Health Insurance - 100% employer-paid premiums – ICA covers the full cost of one of three offered medical plans
Dental Insurance
Vision insurance
Health Spending Account
Flexible Spending Account
Life and Disability insurance
401(k) plan with company match
Paid Time Off (Vacation, Sick Leave and Holidays)
Education and Professional Development Assistance
Remote work from anywhere within the continental United States

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisdata modelingmachine learninglarge language modelsPythonRSQLstatistical techniquespredictive modelingdata mining

Soft Skills

collaborationpresentation skillscommunicationinnovationstrategic thinking