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

About the Role

Deltek is building its first internal data science capability, and we're looking for a Data Scientist to help us develop and deploy machine learning models that drive real business decisions. You'll work within our Snowflake-native stack, partnering with a small, talented team to turn business questions into models and analytical insights that stakeholders can act on.

This role is a great fit for someone with a solid foundation in machine learning and Python who is comfortable working hands-on in a cloud data platform. Some exposure to ML Engineering or the operational side of model deployment is a plus, but the core of this role is doing good data science work in Snowflake.

What You'll Do Data Science & Modeling

Develop and validate supervised learning models, including customer health scoring, churn prediction, upsell/cross-sell propensity, and lead scoring using Snowflake's ML platform capabilities.
Perform feature engineering within the Snowflake Feature Store, building reusable feature sets that serve multiple models.
Conduct exploratory data analysis and statistical validation to support modeling decisions and evaluate data readiness.
Write clean, maintainable Python code and contribute to shared libraries and internal tooling.
Work within our Snowflake data platform, writing SQL to explore, extract, and prepare data for modeling.

Deployment & Engineering

Support the operationalization of models from development through production deployment within the Snowflake stack
Contribute to model versioning and reproducibility practices as the team establishes standards
Collaborate with the Enterprise Data & Intelligence team to ensure ML work integrates cleanly with the broader data platform, including dbt and Fivetran.

Communication & Collaboration

Translate modeling results and analytical findings into clear, accessible presentations for technical and non-technical audiences.
Partner with senior data scientists and the director to support end-to-end analytical workstreams.
Contribute to team documentation, knowledge sharing, and internal standards as the function grows.
Support the team's engagement with Deltek's AI Center of Excellence on model governance and integration opportunities.

Qualifications

Required

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field
Solid Python skills, including hands-on experience with core ML libraries (scikit-learn, pandas, numpy)
Understanding of machine learning concepts: supervised learning, model evaluation, feature engineering, training vs. scoring
Foundational statistical fluency: hypothesis testing, regression, correlation, confidence intervals
SQL proficiency sufficient for data exploration, feature extraction, and pipeline development
Experience with Snowflake or other cloud data platforms; Snowpark ML or Snowflake Feature Store experience is a strong plus
Familiarity with software engineering fundamentals including version control (Git) and modular code design
Strong communication skills and ability to work collaboratively across technical and non-technical teams
Comfort operating in a greenfield environment where practices are still being established

Preferred

Exposure to model deployment, experiment tracking, or pipeline orchestration in any environment
Familiarity with ML Engineering or MLOps concepts such as versioning, reproducibility, or model lifecycle management
Experience with SaaS business models and customer analytics use cases
Familiarity with Power BI
Exposure to CI/CD concepts and pipeline automation in a data or ML context

Position Type

FT

Travel Requirements

No

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Senior Data Scientist

GDS Consulting_Senior Data Scientist