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AVP, Data Scientist

Summary

Build and deploy statistical models, ML algorithms, and generative AI to analyze real-estate data, forecast market trends, and optimize investment strategies for a multifamily property firm.

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

Berkshire Residential Investments is a leading multifamily real estate investment and management company with a strong track record of success. We are seeking a highly motivated and talented Data Scientist to join our growing team and play a crucial role in driving data-informed decisions across the company. This role offers the opportunity to work with a variety of datasets, develop innovative analytical solutions, including generative AI applications, and inform our business strategy.

As AVP, 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 8 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, SharePoint, Stream etc.).
  • Proficiency with remote/virtual meeting technology and how to conduct online meetings/training.

Berkshire Residential offers an excellent benefits package, focusing on our employees’ total health and wellness. We offer programs and incentives that promote physical, mental, financial, and behavioral wellbeing both within and beyond our workplace. Current anticipated annual base salary range: $150,000 - $200,000. Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications. Please visit our Careers page for full details – and to learn more about how we value our employees.

We believe

Berkshire Residential values diversity, equity, inclusion and belonging. Berkshire is committed to providing equal opportunity in all practices, including employees and applicants for employment. We ensure that decisions affecting employees are made without regard to their race, color, creed, national origin, age, disability, gender, gender identity, sexual orientation, or any other protected status.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Preferred First Name optional
  • LinkedIn Profile optional
  • Website optional
  • Are you legally eligible to work in the United States on a permanent basis? (If hired, verification will be required consistent with US law) choose one
  • Do you now or in the future require visa sponsorship to continue working in the United States? choose one
  • How did you hear about this opportunity? choose one
  • Were you referred by a current employee? choose one
  • If yes, what is the name of the employee? optional
  • Have you previously been employed by Berkshire or any of its subsidiaries? choose one
  • If yes, please provide your dates of employment. optional
  • Do you have any relatives or household members that work or have worked at Berkshire or any of its subsidiaries? For purposes of this question, family members include: child, spouse, domestic/civil union partner, parent, sibling, grandchild, or grandparent of the team member or the team member's spouse or domestic/civil union partner, any other individual related by blood to the team member, and any other individual whose close association with the team member is the equivalent of a family relationship. Family members include biological relatives and also include step, foster, adoptive, half relations, in-laws and those who stand in loco parentis and legal guardians. choose one
  • If yes, what is the name of the employee? optional
  • What is your desired salary?
  • What is your desired Bonus?
  • Pursuant to federal pay-to-play rules and our internal procedures, we are required to ask you the following questions before considering you for any employment opportunity. Failure to provide this information will be viewed as an incomplete application. During the past two years did you, or any member of your Family/Household, either directly or indirectly, make any contributions to foreign, federal, state and/or local public officials or candidates for public office or make any payments to a political action committee or a political party? choose one
  • If yes, did you, or any member of your Family/Household, contribute more than $150 to (i) a foreign, federal, state and/or local public official or candidate for public office in any single (primary or general) election campaign or (ii) to any political action committee or a political party during any single election cycle? If yes, Berkshire may request further information as necessary to satisfy the requirements of its procedures and applicable regulations. Applicants are advised that any offer of employment is conditioned upon complete and accurate disclosure by the applicant and satisfaction of due diligence by Berkshire. optional

See also