About ICA, Inc.
International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!
We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.
At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.
We are looking for a Senior Data Scientist to join our growing team.
About the Role
Are you passionate about leveraging advanced analytics to drive organizational transformation? In today's data-driven landscape, we're seeking a Senior Data Scientist who can both architect sophisticated machine learning solutions and provide strategic leadership in the implementation of cutting-edge AI technologies.
As a Senior Data Scientist, you'll shape how organizations like the FDA approach their most critical challenges through data science. Working closely with executive stakeholders, you'll translate complex business problems into innovative technical solutions, mentor team members, and serve as a technical authority in machine learning and artificial intelligence.
Your role combines technical expertise with strategic vision – you'll design advanced analytical models, establish best practices, and communicate insights to diverse audiences. You'll have the opportunity to make a significant impact at the intersection of public health and regulatory science, working with forward-thinking organizations to solve challenging problems through innovative data science solutions.
About You
You are inquisitive by nature, detail oriented, creative, patient, and a results-focused problem solver who enjoys collaboration with your team. You use critical reasoning, are open-minded and enjoy the steps involved when confronted with a complex challenge. You have a high standard of accountability and can influence others by creating effective presentations that communicate complex analytics to non-technical senior management and executives.
If you have a passion for leveraging data science, machine learning, and especially cutting-edge LLM techniques to solve real-world problems, we encourage you to apply. Come grow with us and make a meaningful impact!
Qualifications:
- Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field
- Experience - 7 to 8 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).
- Ability to obtain a Public Trust Clearance (Required for the role)
- Must be authorized to work in the United States
- Technical Proficiency:
- Coding knowledge and experience with at least one of the following languages: Python, C, R, Java, Scala, with strong proficiency in Python being highly preferred.
- Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development.
- Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, Social Media Analysis, etc.).
- Familiarity with AWS services (Athena, S3, Glue, SageMaker, Comprehend, Bedrock) for scalable model development.
-Preferred: exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services.
- LLM-Focused Skills (Desired, not all required):
- PEFT (LoRA/QLoRA) for efficient model fine-tuning.
- Instruction Fine-tuning, Retrieval-Augmented Generation (RAG), Chain-of-Thought (CoT)/Tree-of-Thought (ToT).
- Quantization, Pruning, and Knowledge Distillation strategies for model optimization.
- Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks.
- Familiarity with LLM evaluation, interpretability, and best practices. - Soft Skills:
- Excellent written and verbal communication skills, with the ability to translate complex data insights into clear, concise narratives.
- A strong problem-solver who is adaptable, motivated, and has a passion for continuous learning.
- Collaborative mindset, demonstrating the ability to work across teams and partner effectively with various stakeholders
Responsibilities:
- Data Analysis & Modeling
- Client-Facing Presentations
- Predictive Modeling & Optimization
- Model Monitoring
- Identify Opportunities
- Innovation & Strategy
- LLM-Focused Development
What We Offer
- Competitive salary
- Comprehensive benefits including health, dental, vision, disability, and life insurance
- Flexible time off with paid vacation, plus sick time
- Paid time off for observance of federal holidays
- 401k plan with company match
- Tuition reimbursement program
- Professional Development
- Remote work from anywhere in the continental United States
Location and Telework
This is a remote position. Candidates must be willing to travel to the office, in Arlington, VA, for the occasional team/client meetings. Five percent travel can be expected. Flexibility is expected of the employee to be available for client/team meetings if the employee lives outside the Eastern Time Zone.
Additional Information
ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
