Data Scientist

Job Description:

Some things you can expect to do:

• Analyze structured and unstructured project data (e.g., scheduling information, safety reports, IoT sensor data) to identify trends, risks, and operational opportunities.
• Assist in the development, training, and validation of predictive models that support safety forecasting, scheduling optimization, and project risk analysis.
• Support data preparation, feature engineering, and the evaluation of model performance using tools such as pandas, scikit-learn, or XGBoost.
• Help translate machine learning outputs into actionable insights for construction and safety teams.
• Assist in the integration of predictive analytics into dashboards and field tools used by project managers and jobsite personnel.
• Collaborate with stakeholders to ensure analytics align with operational realities and business priorities.
• Work closely with the Lead Data Scientist to refine approaches, troubleshoot issues, and enhance modeling workflows.
• Participate in agile development practices and contribute to cross-functional analytics sprints.
• Communicate results and recommendations clearly to both technical and non-technical audiences, gaining exposure to real-time decision-making in the field.

To be successful in this role you must have:

• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or a related field.
• 1–2 years of professional or academic experience applying data science methods to real-world problems.
• Proficiency in Python and SQL, with familiarity using tools such as pandas, scikit-learn, matplotlib, or XGBoost.
• Ability to work independently in a field-based environment and communicate effectively with multidisciplinary teams.
• Strong problem-solving skills, curiosity, and eagerness to learn new technologies and business processes.
• Exposure to construction or engineering project data (e.g., schedules, jobsite safety systems, field logs).
• Familiarity with cloud data platforms such as Azure, AWS, or GCP, and experience using MLflow or Databricks.
• Interest in predictive analytics and its application to safety, planning, and operational efficiency.
• Experience working with or integrating data into enterprise systems such as Procore, Power BI, or other project management tools.

Compensation:

The base pay range is $74,100-$111,100/Annually. The salary may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program.

Eligibility:

• Positions require verification of employment eligibility to work in the U.S.

Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Non-Solicitation Notice to Recruitment Agencies:

Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.