Senior Data Scientist

  • Comunidad Partners
  • San Diego, CA, USA
  • Jul 19, 2019
Full-time Azure Business Intelligence (BI) Data Analysis Data Architecture Data Integration Data Modeling Data Visualization ETL Machine Learning Predictive Analytics

Job Description


Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.


  • Competitive Salary + Bonus
  • Medical, Dental, and Vision Insurance
  • Life Insurance
  • 401k with Employer Match
  • On-site Gym
  • Downtown location near diverse mix of restaurants, amenities, etc.
  • Parking and Cell Phone Stipend
  • Employee Self-Service Portal with Specialized Perks
  • Volunteer / Philanthropic Opportunities


  • Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
  • Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
  • Define and scope related project tasks, goals and deliverables with proper timelines and schedule. 
  • Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
  • Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
  • Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets. 
  • Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
  • Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
  • Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
  • Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
  • Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
  • Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
  • Assist with administering the company SharePoint environment.
  • Support a series of data governance activities for the enterprise.
  • Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
  • Performs other duties as reasonably requested.

Qualitative Skills

  • Able to translate strategic business requirements into specific detailed technical requirements and tasks.
  • Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
  • Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
  • Able to project manage, prioritize activities, and diligently adhere to project deadlines
  • Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
  • Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
  • Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
  • Fanatical attention to detail and is process-oriented, methodical, and systematic.
  • Experience in an investment management or real estate organization is strongly preferred.

Quantitative Skills

  • Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
  • Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
  • Experience in IT controls and data governance practices desired.
  • Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
  • One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
  • Quantitative educational background with professional data analytics experience.
  • Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
  • Proficiency with a statistical analysis tool such as R and/or Python
  • Machine Learning experience strongly desired


Required Education

  • Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field. 

Preferred Education

  • Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field