Data Scientist (AI/ML)

TL;DR

Senior Data Scientist (AI/ML): Building and optimizing AI/ML solutions for understanding customers, markets, and operations with an accent on predictive modeling, advanced analytics, and experimental design. Focus on translating complex findings into strategic business recommendations and collaborating with ML engineers to transition models into production.

Location: On-site in Omaha, NE

Company

hirify.global is a company focused on adaptive innovation to support national security missions through advanced technologies, elite minds, and unparalleled agility.

What you will do

• Conduct deep-dive analyses and design sophisticated experiments for business insights.
• Build predictive models to forecast business outcomes and identify growth opportunities.
• Lead analytics strategy by partnering with business leaders and influencing strategy.
• Develop machine learning models for segmentation, recommendation systems, and risk assessment.
• Collaborate with ML engineers to transition research models into production systems.
• Establish statistical rigor and foster a data-driven culture across the organization.

Requirements

• 3+ years of experience in regression analysis and building predictive models for business applications.
• Advanced statistical knowledge including experimental design, hypothesis testing, and causal inference.
• Strong programming skills in Python or R with experience in data analysis libraries and platforms like Databricks.
• Business acumen with proven ability to translate complex analytical findings into strategic business recommendations.
• Machine learning expertise with experience building and validating models using scikit-learn, TensorFlow, or similar frameworks.
• Data analysis and visualization abilities using advanced analytics tools and BI platforms (Tableau, PowerBI, Qlik).
• Database and analytical platform experience with SQL and modern data analysis environments.
• DoD Active Top Secret Clearance is required.
• Work is required on-site in Omaha, NE.

Nice to have

• Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments.
• Strong data engineering skills in Databricks, Python, PySpark, and Spark SQL with medallion architecture.
• Data architecture expertise with experience designing scalable data processing systems.
• Experience integrating with platforms such as Advana, Qlik, Tableau, PowerBI, or MAVEN Smart System.

Culture & Benefits

• Employee-centric culture focused on values: Happy, Helpful, Honest, Humble, Hungry, Hustle.
• Opportunity to contribute to national security and critical civilian missions.
• Collaborative environment that values teamwork and continuous learning.
• Competitive and comprehensive benefits package to support employees.
• Work in an environment where individual contributions are valued and celebrated.