Data Scientist

Chipton-Ross is seeking a Data Scientst for a hybrid contract opportunity in Huntsville, AL.

Hybrid schedule: 2-3 days onsite, then work from home.

• 2+ years experience working with relational database management systems (Oracle).
• 2+ years experience with Snowflake, Palantir, and/or Alteryx.

• Lead and manage analytics and BI‑related project activities, ensuring deliverables align with program schedules, stakeholder requirements, and operational priorities.
• Develop, maintain, and enhance Power BI dashboards, standardized reports, KPI frameworks, and data visualizations to support leadership decision–making.
• Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other enterprise platforms to support business operations, supply chain visibility, program performance, and financial analysis.
• Utilize project management tools such as Azure Dev Ops or Jira for coordinating and prioritizing tasks across the BI organization. Support self‑service analytics initiatives by defining data requirements, creating documentation, and establishing data‑quality and governance practices.
• Identify analytics gaps, process bottlenecks, and improvement opportunities; recommend solutions that enhance efficiency across programs and functional organizations.
• Coordinate with IT, data engineering, and other technical teams to ensure BI tools, datasets, and data pipelines meet business needs without requiring deep data‑architecture ownership.
• Present findings and recommendations to executives and cross‑functional audiences in clear, business‑oriented language.
• Stay current on BI, analytics, visualization, and data‑driven program management best practices.

• Strong critical thinking and problem‑solving skills.
• Experience working across cross‑functional teams to influence outcomes.
• Ability to analyze large datasets, uncover trends, and present data‑driven insights.
• Experience with project management tools (ADO, Jira).
• Knowledge of cloud platforms (AWS, Azure, GCP) and data warehousing best practices.
• Experience in Aerospace & Defense, Manufacturing, or Supply Chain industries.
• Experience utilizing SQL for data extraction and database management.
• Experience with programming languages, such as JavaScript and Python.
• Experience with full‑stack application development.

• Accredited Bachelor’s Degree and minimum 6 years of prior relevant data analytics experience;
  Graduate Degree and a minimum of 4 years of prior related data analytics experience; or in lieu of a degree, minimum of 10 years of prior related data analytics experience.

• Full‑Time
• 9/80 work schedule
• 1st Shift HYB