Sr Data Scientist

03-Feb-2026

US Remote

10684BR

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. www.deltek.com

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 lifecycles 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 junior data science team members as the team grows
• Contribute to team practices, documentation, and knowledge sharing

Qualifications

Technical Skills

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Analytics, Machine Learning, or related quantitative field (or Bachelor's with 5+ years relevant experience)
• Strong practical experience building and deploying supervised learning models (classification, regression) in production environments
• Solid foundation in statistical analysis including hypothesis testing, confidence intervals, and experimental design
• Deep understanding of model evaluation metrics, cross-validation techniques, and avoiding common pitfalls (leakage, overfitting)
• Proficiency with Python and ML libraries (scikit-learn, XGBoost, pandas, numpy)
• Strong SQL skills for feature engineering and working with data warehouses

Professional Skills

• Proven ability to translate ambiguous business problems into well-defined analytical and machine learning tasks
• Strong communication skills to explain complex technical concepts, statistical trade-offs, model limitations, and analytical findings to diverse audiences
• Experience creating presentations and visualizations that effectively communicate technical work to non-technical stakeholders
• Track record of delivering ML projects from conception through production deployment
• Experience collaborating across teams (data engineering, product, business stakeholders)
• Demonstrated ability to work independently while contributing to team knowledge and practices

Compensation Info

The U.S. salary range for this position is $91,000.00-$160,750.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity.

Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement.

Position Type

FT

Travel Requirements

No

Compliance Requirements

Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings.

EEO Statement

Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

E-Verify Statement

Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security.

Applicant Privacy Notice

Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.