Junior Data Scientist

Analytica•Bethesda, MD

11d•Hybrid

About The Position

Analytica is seeking a Jr. Data Scientist to support a defense health mission critical program. The ideal candidate will be comfortable working directly with clients in a consulting and delivery capacity to provide solutions that tackle complex problems. The role may be Hybrid, either in San Antonio Tx or Falls Church VA or potentially remote with periodic travel for meetings. Analytica is looking for bright, motivated professionals who want to continue their careers in the data analytics field. The data scientist will support a variety of military healthcare tasks including advanced statistical analytics, data collection and processing, statistical, AI, and machine learning model building, and other analytics tasks as assigned in a fast-paced, dynamic environment. The ideal candidate will work across different project workstreams to help analyze and improve quality of care on a range of special topics.

Requirements

Bachelor’s or master’s degree in data science, data analytics, statistics, computer science, health policy, or public health.
Must be able to maintain a Secret security clearance.
1-3 years of experience in Python and/or SQL for programming, ETL, and data analysis.
Strong knowledge of statistical programming concepts and best practices.
Experience with machine learning development, including creating training/testing sets, validation sets, target definition, and algorithm evaluation criteria.
Experience delivering analytic dashboard products (Tableau and/or Power BI) is required.
Demonstrated experience with SQL development, including writing queries, procedures, and performing query optimization.
Proven ability to investigate, report, and justify algorithm results, and present insights in the context of organizational business challenges.
Excellent written and verbal communication skills; able to convey technical concepts to a wide range of audiences and maintain effective interpersonal relationships.
Ability to manage multiple tasks within time constraints and meet critical deadlines.
Proficient in Python and SQL for ETL, data analysis and ML development.
Skilled in data visualization and business intelligence tools (e.g., Power BI, Tableau).
Experienced with git version control systems (e.g., Github and Gitlab).
Experience with cloud platforms such as AWS, Azure and a variety of DBMS that are primarily analytic databases, like Amazon Redshift and SSMS for scalable ML solutions

Nice To Haves

Skills in Javascript for accessing APIs and developing front-ends.
Experience with Databricks is a plus.
Familiar with large language models (LLMs), chatbots, and recommendation systems to improve decision-making.
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 a private sector of health care.
Experience with building and maintaining client relationships.

Responsibilities

Demonstrate experience working with military or veteran healthcare systems (e.g., DHA, VA), with a deep understanding of healthcare data, regulatory compliance, and mission-driven care delivery.
Conduct ETL, exploratory data analysis (EDA), data wrangling to develop and present innovative ML algorithms to enhance healthcare system and collaboration.
Apply ML techniques and time series for predictive analytics to support faster and more accurate healthcare outcomes.
Design, develop, deploy NLP and AI/ML models incorporating unit testing, performance validation, and post-deployment monitoring to ensure reliability and scalability.
Develop interactive, user-friendly dashboards and visualizations in Python, Power BI, and/or Tableau to support real-time healthcare analytics and decision-making.
Work with clinical and operational stakeholders to gather requirements and translate them into meaningful, data-driven visual solutions.
Utilizing version control systems (Git, Gitlab, etc.) to maintain work products.
Execute thorough quality control procedures to ensure high reliability, data integrity, and optimized performance of ML algorithms and dashboard solutions.
Produce clear and comprehensive documentation, including business requirements, technical specifications, and user training materials tailored to AI/ML and dashboard solutions.
Develop presentation materials (e.g., PowerPoint summaries, technical briefs) to support algorithm approval processes and facilitate stakeholder communication.
Maintain versioned documentation to support compliance, reproducibility, and knowledge transfer across teams.