We are seeking a Senior Data Scientist to join the Business Application and Data Science team at The RMR Group. The Senior Data Scientist must have experience in generative model training, data sampling techniques and natural language processing (NLP). As a Senior Data Scientist, you will be responsible for leading the development and implementation of advanced analytical models and algorithms to support decision making and strategic planning within the organization.

Design, develop and implement advanced generative models for various business use cases.
• Utilize tools like Dataiku, Datarobot, Databricks for data preparation, exploration and modeling.
• Experience with Azure ML and AI tools and platform.
• Experience with data sampling techniques for training and validating models.
• Experience with natural language processing (NLP) techniques and tools.
• Collaborate with cross-functional teams to identify business problems and opportunities for data-driven solutions.
• Communicate findings and insights to stakeholders in a clear and actionable manner.
• Stay up to date with the latest trends and technologies in the field of data science.

• 5+ years of experience in data science with a focus on generative model training, NLP and Azure ML and AI tools.
• Bachelor's degree in Advanced degree in a quantitative field such as statistics, mathematics, computer science or a related field.
• Strong understanding of statistical and machine learning concepts.
• Strong experience with Agile methodology and practices, backlog management and PI/release planning.
• Experience working with Azure DevOps for creating and managing project backlog and release scope.
• Strong analytical and problem-solving skills, with the ability to work with data and make data-driven decisions.
• Experience with programming languages such as Python and R.
• Strong communication and presentation skills.
• Experience working with large, complex datasets and SQL proficiency.
• Experience with cloud platforms such as Azure, GCP and AWS.
• Strong business acumen and ability to apply data science to solve real-world business problems.
• Experience in real estate industry is a plus.

The RMR Group (Nasdaq: RMR) is a leading U.S. alternative asset management company, unique for its focus on commercial real estate (CRE) and related businesses. RMR's vertical integration is strengthened by over 1,100 real estate professionals in more than 30 offices nationwide who manage over $41 billion in assets under management and leverage more than 35 years of institutional experience in buying, selling, financing and operating CRE. RMR benefits from a scalable platform, a deep and experienced management team and a diversity of real estate strategies across its clients. RMR has been recognized by The Boston Globe as a "Top Place to Work", by the Environmental Protection Agency (EPA) as an "ENERGY STAR Partner of the Year" and ranked by the Building Owners and Managers Association (BOMA) as having one of the highest number of BOMA 360 designated properties in its portfolio. RMR is headquartered in Newton, MA and was founded in 1986.

RMR's mission is to create long term value for our clients by managing their investments and assets "like we own it" - an approach that consistently and repeatedly generates opportunities for all our employees, investors and stakeholders. We are guided by six core values:

• Integrity at Our Core.
• Perform Passionately and Effectively.
• Inspired Thinking.
• Like We Own It.
• Power of We.
• Mutual Respect.

Visit our website to learn more about what makes The RMR Group a rewarding place to build a career.

Follow RMR on LinkedIn, on Instagram @thermrgroup and on Twitter @The_RMR_Group.

The RMR Group is an equal opportunity employer. Qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.