What are the responsibilities and job description for the Data Scientist position at Berkshire Residential Investments?
Company Overview
Berkshire Residential Investments is a people-first real estate investment company who values not only the impact we make as a company, but the time we spend together in our high-performing teams. We value individual skills and perspectives to allow us to best serve our employees, investors, residents, and other stakeholders.
If you’re interested in a workplace where everyone feels empowered to bring their full, authentic selves to work each day, come join our talented and growing team at Berkshire Residential Investments. Our environment of entrepreneurial spirit, culture of expertise and our people-first approach will allow you to thrive while continuing to grow in your career.
Position Summary
As a Data Scientist, you will be responsible for leveraging data to extract actionable insights that optimize investment strategies, improve operational efficiency, and enhance resident experience. You will collaborate with various departments, including research, acquisitions, portfolio management, property operations, and marketing, to identify key business challenges and develop data-driven solutions.
Responsibilities include, but are not limited to:
- Develop and implement statistical models, machine learning algorithms, and generative AI solutions to analyze large datasets related to market trends, property performance, resident behavior, and financial data.
- Identify and collect relevant data from internal and external sources, ensuring data quality and integrity.
- Conduct exploratory data analysis (EDA) to uncover patterns, trends, and anomalies.
- Create visualizations and reports to communicate findings and recommendations to stakeholders in a clear and concise manner.
- Explore and evaluate the potential of generative AI solutions for tasks such as market forecasting, property valuation, and content creation.
- Collaborate with cross-functional teams to translate data insights into actionable strategies.
- Stay up to date with the latest advancements in data science, including generative AI and large language models, and real estate analytics.
- Contribute to the development of our data science infrastructure and best practices.
- Research and evaluate new data sources and technologies to improve our analytical capabilities.
- Proactively identify opportunities to leverage data science and generative AI to improve business outcomes.
- Consistently demonstrate use of tact and discretion.
Knowledge/Experience:
- Minimum 3-5 years or more years of experience as a Data Scientist, preferably in the real estate or related industry.
- An understanding of U.S. economic, demographic, and real estate data and working knowledge of related public/private data providers is a plus.
- An understanding of U.S. real estate metrics and financial modeling is a plus.
- Strong statistics background, including optimization techniques, hypothesis testing, multivariate linear regression, and related methods to isolate root causes and causal relationships.
- Proficiency in statistical data analysis and visualization using Python, R, or similar tools.
- Experience using Power BI or other similar data visualization platforms.
- Experience with cloud computing platforms (e.g., Azure, AWS, GCP) is a plus.
- Experience with generative AI models, frameworks, and prompt engineering is a plus.
- Demonstrated success in translating business needs into data analytics concepts and vice versa.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Strong problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Passion for real estate and data-driven decision making.
- Aptitude for organizing, prioritizing, and managing multiple priorities, using critical thinking and problem solving.
- Demonstrated multi-modal communication style that reaches every stakeholder, specifically excellent verbal, and written communications.
- Ability to communicate with and manage up to senior management.
- Collaborative working style with inclusive work and thinking behaviors, commitment to excellence in teams and work product, with a strong work ethic.
- Proficiency and willingness to adopt new systems and processes.
- Demonstrate emotional intelligence in high pressure and sensitive situations.
- Demonstrated ability to make independent decisions and apply critical thinking on business matters when appropriate.
- Tenacity, patience, and perseverance to work with business deals from beginning to end of process.
- Represent the Berkshire employment brand well to candidates by seeking to understand the capabilities and insights of people with unique backgrounds, cultures, styles, and abilities.
- Maintain confidentiality of sensitive information and communications of information.
- Develop productive working relationships with all team members including JV partners, property managers, project managers and third parties.
- Demonstrated high level of ethics and integrity with a straightforward and honest approach.
Technical/Educational Requirements:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
- Demonstrated ability to use and learn new technology (e.g., computers/hardware, mobile, software, cloud-based programs).
- Proficiency with computers, keyboards, monitors and telephone headsets.
- Proficiency in Microsoft Suite of Products (e.g., Word, Outlook, Excel, Teams, Power Point).