We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
Remote New

Data Scientist

Deltek, Inc.
life insurance, tuition reimbursement, 401(k)
United States, Virginia, Herndon
2291 Wood Oak Drive (Show on map)
Dec 09, 2025

09-Dec-2025


Data Scientist

US Remote

10570BR

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

Business Summary

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities


  • Build predictive models using classification, regression, clustering, and time series techniques to solve business problems
  • Perform exploratory data analysis to uncover patterns, anomalies, and insights in large datasets from multiple sources
  • Create features from structured and unstructured data; apply feature engineering techniques to improve model performance
  • Develop and validate models using proper train/test splits, cross-validation, and appropriate evaluation metrics
  • Conduct A/B tests and analyze experiments to measure impact of product changes or new features
  • Build dashboards and reports to communicate findings to stakeholders; create data visualizations that tell compelling stories
  • Collaborate with data engineers on data pipeline requirements; ensure data quality and availability for analytics
  • Document analyses thoroughly including methodology, assumptions, and limitations; ensure reproducibility of work
  • Support production models by monitoring performance, investigating issues, and recommending improvements

Qualifications


  • 3-5 years of data science experience with hands-on model building and statistical analysis
  • Statistical knowledge: Understanding of hypothesis testing, regression, classification, and clustering methods
  • Programming proficiency: Strong Python (pandas, scikit-learn, matplotlib/seaborn) and SQL skills
  • ML experience: Practical experience building and evaluating predictive models; familiarity with common algorithms and when to use them
  • Data manipulation: Comfortable working with messy, real-world data; ability to clean, transform, and prepare data for analysis
  • Visualization: Experience creating clear visualizations and dashboards using Tableau, Power BI, or Python libraries
  • Communication: Ability to present findings clearly to both technical and business audiences
  • Tools: Experience with Jupyter notebooks, Git, and collaborative data science workflows
  • Bonus: Exposure to NLP, recommendation systems, or optimization problems; experience with cloud platforms (AWS/Azure/OCI)
  • Education: BS in Data Science, Statistics, Computer Science, Mathematics, or related field; MS preferred

Compensation Information

The U.S. salary range for this position is $68500.00 - $119750.00. 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.

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.

Applied = 0

(web-df9ddb7dc-zsbmm)