Data Scientist I, Data Science (New College Graduate)

The RRS Group & Company, and its affiliated entities (collectively, “RRS”) have provided real estate development and related services to investment-grade clients for decades. Our expertise encompasses site acquisition, architectural design, and development management for commercial office and industrial properties.

Through an integrated service model, RRS delivers comprehensive enterprise solutions that address every phase of the building lifecycle. In addition to technical excellence, we offer strategic consulting in marketing, financial planning, and facility management ensuring that every project achieves its highest potential in performance, value, and sustainability.

Commitment to Community

For over two decades, RRS has maintained a strong commitment to the communities we serve. This commitment is further advanced through the RRS Making Lives Better Foundation, which provides meaningful support and resources to individuals and families in need. The Foundation reflects our belief that corporate success carries a responsibility to contribute positively to society and to improve the quality of life in the regions where we operate.

Our Core Values

Integrity | doing the right thing when no one is watching and acting with uncompromising honesty. We believe in maintaining lasting relationships based on honesty, consistency and the highest ethical standards. This creates credibility in our personal and professional relationships.

Caring | showing concern, empathy and compassion for others, ourselves, and our environment. Our care shows itself in our commitment to “safety first” in all we do. We encourage each other to be the best and hold each other accountable. We help those in need, contribute to the communities in which we work and develop creative ways to be responsible with our resources.

Integration | working unselfishly toward common goals across disciplines, teams, departments and regions. Our collective contributions are greater than our skills. We will be transparent and understand each other’s expertise to provide the most value when delivering our services to one another and our clients.

Innovation | developing new ideas and applying the solutions that differentiate us in valuable ways. We are not comfortable with the status quo. We remain accountable for continuous improvements in our results because we do not consider innovation an end in itself. We maintain an environment where we foster new ideas and encourage changes that help us improve.

            If you share these core values, we have the right opportunity for you

We anticipate the application window for this opening will close on: 12/20/2025

Job Description

As a Data Scientist I, Data Science, you will be responsible for collecting and processing data from various sources, develop and deploy machine learning models and AI agents, and use generative AI to enhance data analysis. You’ll work closely with cross-functional teams to solve business problems and ensure clear communication with stakeholders. The role also involves thorough documentation to support reproducibility and system maintenance.

Job Responsibilities and Role Accountabilities:

• Collect and extract large sets of structured and unstructured data from various sources such as databases, APIs, and web scraping.
• Develop predictive models using machine learning algorithms to forecast trends and future outcomes.
• Develop and integrate AI agents to automate data collection, preprocessing, and analysis tasks, enhancing efficiency and scalability.
• Utilize generative AI models to create synthetic data, augment data sets, and generate insights. 
• Deploy models, systems, and AI agents developed; monitor and maintain them to ensure they are working effectively.
• Document processes and methodologies to ensure that work is reproducible and can be audited. 
• Work with cross-functional teams such as product managers, software engineers, and business analysts to identify business problems and develop solutions.
• Explain complex technical concepts to non-technical stakeholders in a clear and concise manner. 

Qualifications

Education Requirement:

• Bachelor's  Degree in Data Science, Computer Science, Statistics, or a related field of study.

Skills and Competency Requirements:

• Knowledge of the AI/ML lifecycle management and tools, including EDA, Modeling, Integration/Deployment, Data/Model drift detection, Model retraining, etc. 
• Knowledge in web crawling, natural language processing, and visualization. 
• Familiarity with core techniques in statistical and machine learning, e.g., regularized regression, time series analysis, decision trees, boosting algorithms, neural networks, clustering, and collaborative filtering. 
• Familiar with collaborative solutions, model & code versioning (Github), solution packaging (Docker), model deployment (Dataiku). 
• Proficient in programming languages such as Python, R, and SQL (for data manipulation, cleaning, and analysis), Tableau, PowerBI or Spotfire, NumPy, Pandas, and Matplotlib for visualization. 
• Experience in developing and deploying generative AI models and large language models (LLMs). 
• Skills in Robotic Process Automation (RPA) and automation software development. 
• Knowledge of UI and UX design principles to enhance user interaction and experience in data-driven applications. 
• Ability to define problems, generate hypotheses, develop and test solutions, and effectively communicate complex technical concepts to non-technical stakeholders. 
• Ability to collaborate effectively with others to achieve project goals.

Additional Information

#TransformingSpacesBuildingFutures

RRS Company is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

RRS Company participates in the U.S. Department of Homeland Security (DHS) E-Verify Program to confirm the employment eligibility of all newly hired employees.