• As a Data Scientist (m/f/d), you drive data-driven decision making across the company. • You design and develop new data products for our service division, with a focus on group-wide reporting. • In the longer term, you will also support organizational development through the introduction and use of process mining tools for process analysis and optimization. • In addition, you will be responsible for further data-related development initiatives and provide valuable decision-making insights through your analyses. • Your work strengthens a culture of data thinking and makes data-driven services actionable, giving you a direct impact on the success of the entire company.

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 Job Summary As a Data Scientist at Deltek, you will leverage advanced analytics and machine learning techniques to solve complex business challenges. You will work with large, diverse datasets to uncover actionable insights, build predictive models, and communicate findings through compelling visualizations and reports. This role requires strong technical expertise, a collaborative mindset, and the ability to translate data-driven results into strategic recommendations for stakeholders. Key Responsibilities: - Build predictive models using classification, regression, clustering, and time series techniques to address business needs. - Perform exploratory data analysis to identify patterns, anomalies, and insights in large datasets from multiple sources. - Create features from structured and unstructured data; apply feature engineering to enhance model performance. - Develop and validate models using train/test splits, cross-validation, and appropriate evaluation metrics. - Conduct A/B tests and analyze experiments to measure the impact of product changes or new features. - Build dashboards and reports to communicate findings; create data visualizations that tell compelling stories. - Collaborate with data engineers on data pipeline requirements to ensure data quality and availability. - Document analyses thoroughly, including methodology, assumptions, and limitations to ensure reproducibility. - Support production models by monitoring performance, investigating issues, and recommending improvements. Qualifications Required Qualifications: - 3-5 years of hands-on data science experience, including model building and statistical analysis. - Strong understanding of hypothesis testing, regression, classification, and clustering methods. - Proficiency in Python (pandas, scikit-learn, matplotlib/seaborn) and SQL. - Practical experience building and evaluating predictive models; familiarity with common algorithms. - Ability to clean, transform, and prepare real-world data for analysis. - Experience creating visualizations and dashboards using Tableau, Power BI, or Python libraries. - Ability to present findings clearly to both technical and business audiences. - Experience with Jupyter notebooks, Git, and collaborative data science workflows. - Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. - This position requires US Citizenship Preferred Qualifications: - Master’s degree in a relevant field. - Exposure to NLP, recommendation systems, or optimization problems. - Experience with cloud platforms such as AWS, Azure, or OCI. Why Join Deltek? At Deltek, you will be part of a forward-thinking team that values innovation, collaboration, and continuous learning. Our company culture fosters professional growth and encourages creative problem-solving. You will have the opportunity to work on impactful projects, leverage cutting-edge AI capabilities, and contribute to a dynamic environment where your expertise is valued. Deltek’s commitment to flexibility, development opportunities, and advanced technology makes it an ideal place for data science professionals to thrive. Compensation Info The U.S. salary range for this position is $76,000.00-$134,000.00. 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.

State of Location: Pennsylvania Position Summary: Join Ivy Rehab’s dedicated team where you’re not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient. Job Description: Ivy Rehab Network is seeking a Data Scientist with a focus on People and Workforce Analytics to join our New Jersey/New York team. This role is designed for a technical innovator who can leverage Ivy’s data ecosystem to build predictive models and deploy cutting-edge AI tools—including LLMs and AI Agents—to transform how we manage our 7000+ teammates, improve the teammate experience, operational performance, and workforce efficiency. The Analytics & Insights department provides data-driven strategies across the organization. In this HR-focused role, you will: - Optimize the Teammate Experience: Use data to improve recruitment, retention, and engagement. - Solve Complex Workforce Problems: Address challenges such as turnover prediction, compensation equity, and productivity. - Drive Actionable Insights: Query our Snowflake Data Lake to join large HR datasets (e.g., payroll, ATS, engagement surveys) to uncover trends. - Full Lifecycle Projects: Lead People Analytics projects from initial hypothesis to final executive presentation. - Deploy Predictive Solutions: You will be responsible for the end-to-end development, deployment, and maintenance of machine learning models in production environments to solve complex workforce problems. - Drive Self-Service AI: You will develop and implement AI Agents and LLM-based tools that allow non-technical HR partners to query workforce data and receive actionable insights through natural language. - Scale People Strategy: By joining large datasets from our Snowflake Data Lake, you will uncover trends in recruitment, retention, and teammate engagement to inform executive-level strategy. How You’ll Spend Your Day - Advanced Modeling: Develop statistical models and machine learning pipelines to predict workforce trends, such as "likelihood to leave" or hiring success. - Hypothesis Testing: Perform rigorous testing on HR initiatives to determine their impact on teammate performance and satisfaction. - ML Engineering: Build and maintain machine learning pipelines that automate the delivery of critical business metrics and pattern recognition in large HR datasets. - AI Innovation: Identify and implement use cases for Generative AI, specifically developing agents that accelerate data cleaning and feature engineering - Integration: Seamlessly integrate predictive outputs and AI-driven insights into Power BI dashboards to promote a culture of self-service analytics - Diagnostic Analysis: Run model diagnostics (VIFs, correlation coefficients) to ensure the fairness and accuracy of people-related models. - Visualization & Reporting: Design Power BI dashboards that allow HR leadership to track critical metrics like headcount, diversity, and turnover in real-time. - Collaboration: Partner with HR stakeholders to translate business questions into technical requirements. What You’ll Need - Education: Master’s Degree in Data Science, Statistics, Economics, Industrial-Organizational Psychology, or a related field. - ML/AI Expertise: * Demonstrated experience deploying machine learning models into production environments. - Experience with Python, R, and SQL, including libraries used for LLM orchestration or AI agent development. - Proficiency in automating data processing tasks through scripting and Snowflake/Snowpark. - Experience: 3+ years of experience querying data lakes (Snowflake preferred) and manipulating large datasets to perform advanced and predictive analytics - Communication: Ability to present results using professional formatting and graphical representations that clearly communicate insights to non-technical business partners. - Analytical Rigor: Demonstrated experience in data cleaning, feature engineering, and model diagnostics. - Soft Skills: Ability to communicate technical findings to non-technical HR business partners effectively. What will help you excel? - Ability to identify data irregularities, perform quality assurance checks, and present findings and proposed solutions to leadership. - Ability to work in a fast-paced environment while maintaining a positive attitude.  - Flexible positive attitude: Hungry to solve problems and grow within the organization. - Self-motivated with the willingness to exceed expectations, learn and grow. - Excellent written and verbal communication and presentation skills - Ability to prepare written analysis and summarize results using graphical representations and professional formatting. - Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners - Ability to work with end users and translate business requirements into technical requirements/solutions. - Outstanding time management skills and ability to multitask - Self-starter, able to work with limited supervision - Demonstrates curiosity and a creative approach to problem-solving - Comfort and confidence in working within a rapidly developing data lake and warehouse environment - Proficient in Microsoft Word, Excel, and PowerPoint Why choose Ivy? - Best Employer: A prestigious honor to be recognized by Modern Healthcare, signifying excellence in our industry and providing an outstanding workplace culture. - Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes. - Incentives Galore: Eligibility for full benefits package beginning within your first month of employment. Generous PTO (Paid Time Off) plans and paid holidays. - Empowering Values: Live by values that prioritize teamwork, growth, and serving others. #LI-ST1 #LI-remote We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits. ivyrehab.com

• Design, build, and deploy production-grade ML models with end-to-end pipelines and MLOps best practices to ensure scalability, reproducibility, and continuous improvement. • Lead the design and deployment of GenAI solutions leveraging LLMs, RAG, prompt engineering, and fine-tuning to build intelligent assistants, conversational agents, and knowledge retrieval tools. • Analyze large-scale datasets using statistical methods and advanced analytical frameworks to uncover actionable patterns and measure AI/ML impact. • Partner cross-functionally to deliver high-impact AI/ML use cases—including predictive analytics, anomaly detection, and workflow automation—across enterprise digital workplace platforms. • Serve as a subject matter expert in ML and GenAI, mentoring team members, driving actionable business recommendations, and contributing to responsible AI governance frameworks.