Data Scientist

AIS (Applied Information Sciences)•Washington, DC

18d•$94,000 - $141,000

About The Position

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded. At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Data Scientist. As your initial project assignment, you will support the unique needs of our client as a Data Scientist. Project Summary The Data Scientist will support data-driven decision-making by collecting, integrating, analyzing, and visualizing complex datasets. This role focuses on developing analytical models, producing performance metrics, and delivering actionable insights to stakeholders. The ideal candidate will apply statistical techniques, data engineering practices, and visualization tools to improve organizational performance, enhance reporting capabilities, and support operational initiatives.

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
3+ years of experience in data science, data analytics, or a related discipline
Proficiency in Python, R, SQL, and Excel
Experience with data visualization tools such as Tableau (or equivalent)
Strong analytical, problem-solving, and critical thinking skills
Experience working with large, complex datasets
Ability to communicate technical concepts clearly to diverse audiences
Active Secret clearance (minimum requirement); higher clearances may be required

Nice To Haves

Experience working with law enforcement, investigative, or similarly structured datasets
Familiarity with ETL pipeline development and data engineering practices
Experience with predictive modeling and machine learning techniques
Knowledge of data governance, data quality frameworks, and audit processes
Experience developing executive-level dashboards and performance reporting frameworks
Familiarity with network analysis or relational data modeling

Responsibilities

Collect, validate, process, and analyze large and complex datasets from multiple sources.
Participate in data evaluation and review processes; document, track, and monitor data issues through resolution.
Develop reports, dashboards, charts, and other data products to support leadership decision-making.
Produce statistical summaries, trend analyses, and performance metrics.
Maintain and update datasets and data sources to ensure accuracy of reporting and dashboards.
Respond to data inquiries using advanced statistical methods and research techniques.
Identify trends, anomalies, and performance improvement opportunities.
Construct queries and scripts using Python, R, SQL, or similar tools to support data extraction and analysis.
Develop and maintain ETL pipelines to support regular data ingestion and transformation.
Perform exploratory data analysis and statistical modeling.
Develop predictive models and algorithms to support prioritization, forecasting, and decision-making.
Support briefings and presentations with analytical findings and supporting data products.
Design and deliver interactive dashboards and visual analytics using tools such as Tableau or equivalent.
Translate complex datasets into clear, concise, and actionable insights for both technical and non-technical audiences.