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ICA.ai

Data Scientist (Remote, Continental United States)

Posted 7 days ago
$117K per year
2-5 years experience
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AI Summary

The Data Scientist will design and deliver machine learning, NLP, and generative AI solutions for complex healthcare and federal environments. They will also manage the full lifecycle of data science projects, from data preparation and model development to production monitoring and validation.

About ICA, Inc.

ICA, 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.

ABOUT THE ROLE:

ICA.ai is seeking a Data Scientist to design and deliver data science and AI solutions for complex healthcare, federal health, and regulated-data environments. This role requires strong technical depth, practical judgment, and the ability to take ownership from ambiguous problem definition through evaluation and production. A Public Trust Clearance is required for the role, and we will work with you to obtain this.

KEY RESPONSIBILITIES:

  • Build machine-learning, analytics, NLP, and generative-AI solutions using structured and unstructured data.
  • Develop and improve workflows that transform documents, free text, and other complex source data into reliable structured outputs.
  • Build downstream data-science solutions such as classification, prediction, prioritization, analytics, and decision-support workflows.
  • Perform data preparation, feature development, experimentation, model evaluation, error analysis, and validation.
  • Investigate model and data-quality issues and iterate on approaches when results do not meet expectations.
  • Contribute to production workflows, monitoring, human-review processes, and reproducible data-science practices.
  • Work with senior technical staff, domain experts, and stakeholders to translate requirements into practical technical solutions.

                  REQUIRED QUALIFICATIONS:

                    • Bachelor's Degree, or equivalent work experience in Data Science or related field
                    • Hands-on experience building data science, machine-learning, or applied-AI solutions.
                    • Strong Python and SQL skills with solid foundations in statistics, machine learning, experimentation, and data analysis.
                    • Experience working with unstructured data such as documents, free text, NLP, information extraction, document AI, or LLM-based workflows.
                    • Ability to independently execute defined projects, evaluate results, troubleshoot failures, and communicate findings clearly.
                    • Understanding of how data quality and extraction errors can affect downstream models and analytics.
                    • Experience working with production systems, sensitive data, or high-accountability environments is preferred.
                    • Experience in healthcare, life sciences, government, or regulated industries is a plus.
                    • Must be authorized to work in the United States and have lived in the US for 3 or more consecutive years.
                    • Must be able and willing to obtain a Public Trust Clearance

                      UNAUTHORIZED USE OF AI ASSISTIVE TECHNOLOGY: All application materials must be your own original work, and interviews must be completed independently. The use of AI-generated content or AI-assisted technologies during the application or interview process is prohibited unless interviewers provide explicit permission for specific activities during a live technical assessment. Any unauthorized use of AI will result in disqualification from the hiring process.

                      BENEFITS:

                      We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and 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

                      LOCATION & TELEWORK
                      This is a remote position following Eastern Standard Time (EST). Candidates residing in the DMV area preferred.

                      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.

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