Data Scientist

SROA Capital is a vertically integrated private equity real estate investment firm and global asset manager focused on self-storage investments. The Data Scientist will apply statistical analysis, predictive modeling, machine learning, and AI-enabled analytics to transform company data into insights, predictions, recommendations, and reusable analytics products. This early-career role supports analytics initiatives across revenue management, customer behavior, operations, marketing, investment analysis, and customer experience.

What you'll do:

• Assist in developing, testing, and maintaining predictive models, statistical analyses, and machine learning solutions for business use cases
• Explore and analyze structured data to identify trends, relationships, anomalies, and opportunities that can improve business performance
• Partner with business stakeholders and Data Intelligence team members to understand business questions, define analytical approaches, and translate findings into actionable insights
• Prepare, clean, validate, and transform data for analysis in collaboration with analytics engineering and data engineering resources
• Build reproducible analytical workflows using SQL, Python, or similar tools and document assumptions, methods, model inputs, and results
• Evaluate model performance using appropriate statistical and machine learning techniques and communicate limitations, risks, and expected business impact
• Support experimentation, forecasting, segmentation, optimization, and other advanced analytics initiatives as assigned
• Create clear visualizations, summaries, and presentations that explain analytical findings to technical and non-technical audiences
• Contribute analytical outputs and model results to dashboards, reports, and other data products in partnership with business intelligence resources
• Follow Data Intelligence standards for metric consistency, data quality, governance, documentation, version control, and analytical reproducibility
• Research emerging data science, machine learning, and AI techniques and help evaluate practical applications within SROA
• Contribute to a collaborative Data Intelligence operating model focused on trusted data, reusable assets, consistent analytics, and measurable business value

What they're looking for:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent practical experience
• 0-2 years of professional, internship, academic, or project experience applying data science, statistical analysis, machine learning, or advanced analytics techniques
• Working knowledge of Python and common data analysis libraries such as pandas, NumPy, scikit-learn, or similar tools
• Working knowledge of SQL and the ability to query, join, aggregate, and validate data from relational data sources
• Foundational understanding of statistics, probability, regression, classification, model evaluation, and experimental or analytical design
• Ability to clean, explore, analyze, and visualize data and explain findings in a clear, business-oriented manner
• Strong analytical reasoning, problem-solving, attention to detail, and intellectual curiosity
• Ability to learn business processes and translate business questions into structured analytical problems
• Strong written and verbal communication skills and the ability to work effectively with both technical and non-technical team members
• Ability to manage multiple assignments, document work clearly, and operate effectively in a fast-paced and evolving environment
• Internship, academic, or project experience with predictive modeling, forecasting, customer analytics, optimization, segmentation, or recommendation techniques
• Exposure to cloud data platforms, modern data warehouses, notebooks, Git, or other collaborative analytics development tools

Benefits:

• Bonus potential
• UKG Wallet – on-demand pay option
• 100% paid medical coverage options for employee-only
• Dental and vision plans for optimal care
• Eight (8) paid holidays
• Generous Paid Time Off (PTO), increasing with years of service
• Paid Maternity and Parental Leave for growing families
• 401(k) with substantial employer match and 100% immediate vesting
• Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and Dependent Care Flexible Spending Accounts (DCFSA) for tax-advantaged savings
• GAP Insurance for added financial protection