Equity Residential (NYSE:EQR) is a leading multi-family REIT with premier apartment communities in top urban markets across the U.S. We’re committed to innovation, exceptional service, and a collaborative culture where employees can make an impact and help residents Live Remarkably.
The Senior Data Scientist holds a leadership role within the data team, bringing extensive experience to bear on complex and ambiguous business challenges. They play a pivotal role in shaping and executing the organization's analytical strategy, utilizing advanced analytical techniques to provide innovative solutions. Collaborating seamlessly with members of the DNA team, cross-functional teams, and key stakeholders across the enterprise, the Senior Data Scientist contributes valuable insights to guide decision-making and drive strategic initiatives. With a focus on delivering heightened value, they navigate ambiguous problem domains, leading the team in tackling sophisticated analytical tasks. In addition to their analytical prowess, Senior Data Scientists actively mentor and guide junior team members, fostering a culture of continuous learning and excellence. Their overarching goal is to elevate the data science capabilities of the organization, ensuring impactful contributions to business objectives.
Please note: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.
Who You Are:
- A Builder and Problem Solver: You thrive in ambiguous environments, shaping structure out of complexity. You’re motivated by solving hard, high-impact problems — from modeling resident behavior to optimizing pricing systems — and take pride in seeing your work move from prototype to production.
- Scientifically Rigor and Pragmatic: You pair strong statistical and machine learning foundations with the judgment to choose the right level of complexity. You care about sound experimentation and model validity but know that elegant, deployable solutions matter most.
- Business-Curious and Insight-Driven: You’re as comfortable digging into the data as you are discussing trade-offs with business leaders. You ask sharp questions, produce clear narratives, and connect analytical outcomes to decisions that drive measurable results.
- Results-Driven: You are committed to achieving high standards, continually driving improvements and fostering a culture of excellence.
- Collaborative and Technical Mentor: You enjoy working alongside data engineers and analysts to bring models to life, and you naturally elevate those around you — sharing code practices, explaining modeling choices, and helping others see the “why” behind the work.
- Execution-Focused: You move fast, communicate clearly, and take ownership from research through deployment. You care about impact, not just analysis.
What You’ll Do:
- Spearhead the development of innovative analyses, leveraging diverse data sets to significantly impact decision-making and propel the evolution of product features
- Apply advanced analytical techniques with a depth of experience to architect scalable solutions that address complex business challenges
- Lead collaboration with cross-functional partners, ensuring seamless integration of machine learning models into operational workflows to drive strategic initiatives
- Assume a pivotal role as a thought leader, providing expert guidance on data science methods to stakeholders and team members, particularly in navigating complex and ambiguous problem domains
- Drive the establishment of efficient, automated processes for large-scale data analyses, model development, validation, and implementation, emphasizing a senior-level perspective on optimization and performance
- Collaborate closely with Data Engineering and CloudOps teams, contributing senior-level expertise to seamlessly integrate successful models into production systems at scale
- Translate intricate business questions into analytical problems solvable with advanced data science techniques, emphasizing a nuanced approach to problem-solving
- Lead initiatives to strengthen and scale analytics infrastructure and processes, aligning with senior-level strategic objectives for enhanced efficiency and impact
- Act as a seasoned communicator, effectively conveying technical concepts and insights to audiences with varying levels of technical expertise, embodying the senior perspective in articulating complex ideas with clarity and impact
Previous Experience & Requirements:
- Master’s degree or PhD in Computer Science, Software/Computer Engineering, Mathematics or related discipline
- 4-8+ years of relevant experience in data analytics roles
- Expert in Python and SQL, competency in Scala/Java/C++ also considered
- Significant experience with supervised and unsupervised machine learning methods
- Experience with natural language processing, computer vision, and deep learning
- Experienced with data platforms like Databricks of Snowflake or processing frameworks like Apache Spark
- Hands on experience with one of the major cloud platforms preferred, Azure experience a plus
- Effective communication and collaboration skills
- Adaptability to learn new technologies and tools
- Time management and organizational abilities
Salary: $150,000 - $184,000 per year; in addition to base salary, a discretionary 13% annual bonus is provided.
The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.
Highlights of the wellbeing benefits for Full-time employees include:
- Physical Wellbeing: Medical, dental, vision care and wellness programs
- Social Wellbeing: Paid holidays, annual vacation time, paid sick leave, new parent benefits, adoption assistance
- Financial Wellbeing: Competitive Compensation, 401(k) Retirement Savings Plan, Rent Discounts, FSA/HSA, and company-paid life & disability insurance
- Community Wellbeing: Paid Community Service Hours
- Career Wellbeing: Leadership Development, Tuition Assistance
Learn more about our Total Wellbeing program here.
Equity Residential is an Equal Opportunity Employer. We are committed to equal employment opportunities for all job applicants and employees. No job applicant or employee will be discriminated against because of race, religion, color, sex, sexual orientation, gender, sexual/gender identity, age, disability, pregnancy, national origin, military or veteran status, or any other characteristic protected by applicable law. Equity Residential is committed to hiring a diverse workforce. Equity Residential has a smoke-free workplace environment.
