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Junior Data Scientist

Analytica Remote 🌍 Remote

Remote

Today

Full time Artificial Intelligence Azure Data Analysis

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Job Description

Analytica is seeking a Junior Data Scientist to support a defense health mission-critical program in a consulting and delivery capacity. The role focuses on building and deploying data-driven analytics and AI/ML solutions for military healthcare analytics tasks, including ETL, predictive modeling, NLP, dashboard development, and documentation support, under a Secret clearance requirement.

Responsibilities

Apply experience working with military or veteran healthcare systems (for example, DHA, VA), including an understanding of healthcare data, regulatory compliance, and mission-driven care delivery.
Perform ETL and exploratory data analysis (EDA) alongside data wrangling to develop and present innovative machine learning algorithms.
Use machine learning and time series methods for predictive analytics to support faster and more accurate healthcare outcomes.
Design, develop, and deploy NLP and AI/ML models with unit testing, performance validation, and post-deployment monitoring to support reliability and scalability.
Create interactive dashboards and visualizations using Python and Power BI and/or Tableau for real-time healthcare analytics and decision-making.
Partner with clinical and operational stakeholders to gather requirements and translate them into data-driven visual solutions.
Maintain work products using version control systems such as Git, Gitlab, and related tooling.
Carry out quality control procedures to ensure high reliability, data integrity, and optimized performance of ML algorithms and dashboard solutions.
Produce documentation covering business requirements, technical specifications, and user training materials tailored to AI/ML and dashboard solutions.
Develop presentation materials (for example, PowerPoint summaries and technical briefs) to support algorithm approval and stakeholder communication.
Maintain versioned documentation to support compliance, reproducibility, and knowledge transfer across teams.
Investigate, report, and justify algorithm results, and present insights in the context of organizational business challenges.

Required Qualifications

Bachelor’s or master’s degree in data science, data analytics, statistics, computer science, health policy, or public health.
Ability to maintain a Secret security clearance.
1-3 years of experience with Python and/or SQL for programming, ETL, and data analysis.
Strong knowledge of statistical programming concepts and best practices.
Experience developing machine learning solutions, including work with training/testing sets, validation sets, target definition, and algorithm evaluation criteria.
Experience delivering analytic dashboard products using Tableau and/or Power BI is required.
Demonstrated SQL development, including writing queries, procedures, and performing query optimization.
Excellent written and verbal communication skills to convey technical concepts to a range of audiences.
Ability to manage multiple tasks within time constraints and meet critical deadlines.

Technologies

Python, SQL, Power BI, Tableau
Git, Gitlab, GitHub
AWS, Azure, Amazon Redshift, SSMS
NLP, AI/ML, machine learning, time series
Databricks, JavaScript

Benefits

Opportunities for bonuses
Employer-paid health care
Training and development funds
401k match

Role Location / Work Arrangement

The role may be Hybrid, either in San Antonio, TX or Falls Church, VA, or potentially remote with periodic travel for meetings.

Preferred Qualifications

Skills in JavaScript for accessing APIs and developing front-ends.
Experience with Databricks is a plus.
Familiarity with large language models (LLMs), chatbots, and recommendation systems to improve decision-making.

Additional Notes

Share best practices and promote continuous learning in AI/ML methodologies and tools aligned with business goals.
Implement automated testing frameworks and monitoring tools to maintain consistent deployment quality across data applications.
Experience with the Department of Defense or a Federal health care entity.
Experience in the private sector of health care.
Experience building and maintaining client relationships.
Execute thorough quality control procedures to ensure high reliability, data integrity, and optimized performance of ML algorithms and dashboard solutions.

Equal Opportunity / Hiring Process Notes

Analytica LLC is an Equal Opportunity Employer and provides reasonable accommodations to applicants and employees with disabilities in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of its hiring process (application review and interview support).
All hiring decisions are made by Analytica recruiters and hiring managers.
When receiving email communication from Analytica, verify authenticity by ensuring the email domain is analytica.net.

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