Sr Data Scientist

03-Feb-2026

Senior Data Scientist

US (Remote)

10684

Company Summary

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work.

Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress.

Position Responsibilities

We're seeking a Senior Data Scientist to join our newly established Data Science team as we build Deltek's first internal advanced analytics capability. Reporting to the Director of Data Science, you'll translate business opportunities into production machine learning solutions and rigorous statistical analyses on our Snowflake intelligent data platform.

This position requires someone who combines strong technical machine learning skills with the ability to conduct thoughtful statistical analysis and communicate findings effectively. You'll work on everything from exploratory analysis to model development to deployment, building predictive capabilities and analytical insights that directly impact business outcomes.

You'll partner closely with our Enterprise Data & Intelligence team, leveraging the modern data stack we've built (Snowflake, dbt, Fivetran) and collaborating across the organization to understand business context, requirements, and stakeholder needs. This is an opportunity to build a data science practice from the ground up at an established B2B SaaS company, tackling the unique analytical challenges of enterprise software customers with long life cycles and complex product relationships.

Model Development & Deployment

• Design, develop, and deploy machine learning models for customer health scoring, churn prediction, upsell/cross-sell propensity, expansion revenue opportunities, and other business-critical use cases
• Build end-to-end ML pipelines including feature engineering, model training, evaluation, and scoring in production
• Implement proper model validation techniques including cross-validation, holdout testing, and business metric evaluation
• Account for B2B SaaS-specific challenges including long sales cycles, account hierarchies, and multi-product customer journeys
• Create reusable, maintainable code following software engineering best practices
• Develop monitoring and alerting for model performance degradation and data drift

Statistical Analysis & Exploration

• Conduct exploratory data analysis to understand patterns, anomalies, and relationships in business data
• Perform statistical tests to validate hypotheses and quantify uncertainty in findings
• Analyze model behavior to understand what drives predictions and identify potential biases
• Provide statistical rigor in problem framing, methodology selection, and results interpretation

Communication & Business Partnership

• Translate complex model results and statistical findings into clear, actionable business insights
• Create compelling visualizations and presentations that make technical work accessible to stakeholders
• Explain model predictions, confidence intervals, and limitations to non-technical audiences
• Present findings to leadership with clear recommendations and articulation of uncertainty
• Document analytical approaches, assumptions, and results in ways that build organizational trust
• Partner with business stakeholders to frame analytical questions and define success metrics

Cross-Functional Collaboration

• Partner with business stakeholders to understand requirements and translate them into technical approaches
• Work across teams to validate model outputs and iterate on solutions
• Collaborate with Deltek's AI Center of Excellence on integration opportunities
• Mentor…