Junior Data Scientist

Junior Data Scientist / Performance Data Analyst I

Location: Washington DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 13 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect clean validate analyze and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python R SQL Tableau machine learning NLP and statistical analysis skills who is ready to progress from research healthcare or academic data work into federal mission analytics.

Key Responsibilities

• Collect clean validate and analyze structured and semi-structured program data.

• Build SQL Python and R scripts to extract data run calculations automate recurring analysis and reduce manual reporting effort.

• Develop and maintain Tableau dashboards visual reports charts and performance summaries.

• Support data quality reviews by identifying anomalies missing values inconsistent records and reporting defects.

• Assist senior analysts with statistical modeling machine learning trend analysis and performance measurement.

• Translate complex datasets into clear summaries for non-technical stakeholders.

• Document data sources business rules transformation logic assumptions and analytical methods.

• Support recurring weekly monthly quarterly and ad hoc reporting requirements.

• Review model outputs and error patterns to recommend improvements to analytical workflows.

• Collaborate with senior data scientists program analysts project managers and government stakeholders.

Required Qualifications

• Bachelors degree in Data Science Statistics Computer Science Mathematics Information Systems Neuroscience Public Health Analytics or a related quantitative field.

• 13 years of data science data analytics research analytics BI or machine learning project experience.

• Hands-on Python experience using pandas NumPy scikit-learn matplotlib spaCy Keras or similar libraries.

• R experience using tidyverse tidymodels ggplot2 Shiny or equivalent packages.

• SQL experience for querying joining filtering and preparing datasets.

• Tableau Power BI R Shiny or similar dashboard/data visualization experience.

• Experience with machine learning classification NLP model evaluation or predictive analytics.

• Ability to inspect model errors validate outputs and communicate improvement opportunities.

• Strong Excel and Microsoft Office skills.

• Ability to explain technical findings to non-technical stakeholders.

• U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications

• Active Secret clearance or prior federal suitability.

• Experience with federal public sector law enforcement financial healthcare biomedical or large statistical datasets.

• Experience supporting performance metrics KPI reporting operational reporting or program evaluation.

• Experience building client-facing dashboards or interactive data applications.

• Experience with BERT NLP unstructured text topic segmentation or terminology data.

• Familiarity with data governance data privacy PII handling CUI or secure data environments.

• AWS Git Jupyter Notebook or cloud analytics exposure.

Tools / Technologies

Python R SQL Tableau Excel Jupyter Notebook Git AWS pandas NumPy scikit-learn spaCy Keras tidyverse tidymodels ggplot2 Shiny NLP BERT dashboards data visualization statistical modeling.