ICA, Inc.

Data Science, Machine Learning Engineer

ICA, Inc.

full-time

Posted on:

Location Type: Remote

Location: Remote • Virginia • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudHadoopPythonSparkSQL

About the role

  • 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

  • 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
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata modelingpredictive modelingmachine learningstatistical techniquesPythonRSQLNLP techniquesdata mining
Soft skills
collaborationpresentation skillscommunicationinnovationstrategic thinking