Job Description

Description

MRI Software offers enterprise software applications and hosted solutions that support real estate property owners, investors, and managers in operating their real estate property management businesses and maximizing the returns on their diverse global business portfolios. Our client base ranges from small- and mid-size property managers to Fortune 500 companies.

MRI is the leader in PropTech, with a mission to connect communities through the first AI-first, open and connected platform. Contract Intelligence is a marquee AI product of MRI, and we are working to infuse AI features across our entire suite of Products. We are looking for a Data Scientist to help us accomplish this mission.

Responsibilities

• As a Data Scientist, you will be collaborating closely with product managers, AI scientists and engineers to design, prototype, implement and test descriptive and predictive analytics, ML, and forecasting models
• Partner with teams to identify and explore opportunities for the application of machine learning, predictive analytics, and forecasting
• Prepare database queries and visualizations for use in data analysis and statistical modeling
• Work with engineers to architect and develop operational models that run at scale
• Build and deploy AI/ML models including data preparation/processing pipelines, machine learning orchestrations, deployments, scalability, improvements of services performance and reliability.
• Communicate with technical and non-technical audiences, and contribute modeling and programming expertise as a team player
• Keep track of emerging tech and trends, research the state-of-art statistical and deep learning models, prototype new modelling ideas, and conduct offline and online experiments.

• Bachelor\xe2\x80\x99s/Master\'s degree in Statistics/Math/Computer Science, or a similar technical field of study or equivalent practical experience.
• 4+ years of industry work experience in SQL, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) preferably in a big data environment
• 2+ years of industry experience in building production-grade software applications
• 2+ years of industry experience with AI/ML frameworks, with all aspects of model training, tuning, deploying, serving, and monitoring. PyTorch, Keras, Tensorflow are a plus.
• 2+ years of industry experience with database query, visualization, and analysis tools such as Power BI and Google Colabs/Jupyter notebooks
• Exceptional written and verbal communication to educate and work with cross functional teams
• Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data
• Be motivated, self-driven in a fast-paced environment with a proven track record demonstrating impact across several teams and/or organizations.
• Experience in both SQL and NoSQL databases such as MySQL, SQL Server, Cosmos
• Experience in big data systems such as Hadoop, MapReduce, Spark
• Experience in software engineering roles and development experience in Java, C#, or similar programming languages is a plus.
• Solid understanding in software engineering best practices, with Agile methodologies, DevOps practices, CI/CD pipelines, GitLab/GitHub, Shell scripting etc.
• Experience with Azure cloud services, AKS, Cognitive services, MLOps, Azure Data Framework is a big plus.