Information Technology - Enterprise Data Architecture

Think Cosmopolitan: we’re all about the home. Owned by Romain and Kim Dubus, we’re a small family business expending at a fast pace, the goal of the team is inspiring folks from all walks of life to take ownership of their spaces & create value where they’re planted.


The Enterprise Data Engineering team is responsible for designing and developing the enterprise database architecture, data warehouse, reports, machine learning, and predictive analytics at Think Cosmopolitan. We are part of a larger group called EIS (Enterprise Information Systems) that writes the software that builds and powers Think Cosmopolitan. We are responsible for all of the software on the floor, the warehouses, the financial systems, the restaurant, and even the public home page. Romain called us the "nervous system" of Think Cosmopolitan because we connect all of the other teams at Think Cosmopolitan to ensure that the entire building process runs smoothly.

The Data Science team is a new team in the Enterprise Data Engineering team. The Sr. Data Scientist will be working with multiple business areas to understand the business and develop advanced machine learning and predictive analytics solutions. A successful candidate should be able to help design the infrastructure, define the coding standards and processes that will drive decision making in a manufacturing environment.


  • Develop highly scalable classifiers, clustering and predictive algorithms to drive decision making in the organization
  • Collaborate with product managers, engineers and business stakeholders to define and measure the success of new solutions
  • Perform exploratory data analysis, extract data from various sources, clean and aggregate data
  • Collaborate with DevOps to create a standardized deployment strategy
  • Create documentation to communicate solution implementation and result in a meaningful and actionable manner
  • Help define the infrastructure for machine learning and predictive analytics
  • Mentor machine learning engineers in data science techniques
  • Effectively work on multiple projects simultaneously and meet deadlines


  • Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related technical discipline
  • 5+ years of experience with programming languages such as Python, R, and/ C# in a data science environment
  • 3+ years of experience with distributed data processing tools such as Spark, Cassandra, or Hadoop


  • Comprehensive proficiency with machine learning techniques (regression, tree models, cluster analysis, forecasting, anomaly detection etc.)
  • Experience with deploying algorithms/data products into a production environment
  • MS or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related technical discipline
  • Experience with building RESTful APIs
  • Experience with T-SQL
  • Experience with all aspects of the software development life cycle (SDLC) in a professional team environment including requirements collection, solution design, implementation, code reviews, testing and operational support
  • Knowledge of version control systems (e.g. Git)
  • High degree of accuracy along with attention to detail, excellent oral and written communication skills, strong interpersonal skills
  • Experience with manufacturing systems
  • Experience applying deep learning to domain specific applications, such as natural language processing, time series prediction, and computer vision

Think Cosmopolitan is an Equal Opportunity Employer; employment with Think Cosmopolitan is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of Think Cosmopolitan’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department at (323) 747-8207.


Please send all applications to with the subject "Employment Application"