Sr Data Scientist

03-Dec-2025

US Remote

10571BR

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

• Lead data science initiatives from problem definition through production deployment; drive business impact through advanced analytics and predictive modeling
• Develop predictive models for forecasting, optimization, and risk assessment using statistical and machine learning techniques
• Design and execute experiments (A/B testing, multivariate testing) to measure feature impact and validate model performance
• Analyze complex business problems across project management, resource planning, financial forecasting, and operational efficiency domains
• Develop advanced predictive analytics models for project cost overruns, resource optimization, cash flow prediction, and bid/win probability.
• Communicate insights effectively to technical and non-technical stakeholders including executives; create compelling visualizations and presentations
• Mentor junior data scientists and analysts; establish best practices for statistical analysis, model development, and reproducible research
• Partner with engineering teams to ensure smooth transition of models from research to production; define monitoring metrics and success criteria
• Stay current with industry trends in data science, ML, and AI; evaluate new techniques and tools for potential application

Qualifications

• 5-7 years of data science experience with demonstrated business impact through analytics and modeling in enterprise or SaaS environments
• Statistical expertise: Strong foundation in statistics, probability, experimental design, hypothesis testing, and regression analysis
• Machine learning: Proficiency in supervised/unsupervised learning, ensemble methods, time series forecasting, and model evaluation
• Programming skills: Expert Python (pandas, scikit-learn, statsmodels) and SQL; experience with R is a plus
• Data visualization: Strong skills in creating insightful visualizations using Tableau, Power BI, matplotlib, or Plotly
• Big data tools: Experience with Spark, distributed computing, or processing large-scale datasets
• Business acumen: Ability to translate business problems into analytical frameworks; track record of driving measurable business outcomes
• Communication: Excellent presentation skills; ability to explain complex concepts to diverse audiences including senior leadership
• Bonus: Domain expertise in professional services, project-based businesses, government contracting, construction, or architecture/engineering
• Education: MS/PhD in Statistics, Data Science, Economics, Operations Research, or quantitative field preferred; exceptional BS candidates considered

Compensation Information

The U.S. salary range for this position is $81500.00 - $142750.00. 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.