Data Scientist

Why AIS?

When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

• Employee Ownership
  :
  Your contributions directly impact the company’s success, and you share in its achievements.

• Continuous Learning
  :
  Access to resources, training, and mentorship to support your professional growth.

• Inclusive Culture
  : A workplace where diversity is celebrated, and everyone’s voice is valued.

• Mission-Driven Work
  :
  Engage in projects that make a meaningful difference for our clients and communities.

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

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.

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.

• 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.

• 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

• Experience working with law enforcement, investigative, or similarly structured datasets

• Familiarity with ETL pipeline development and data engineering…