Equity Residential is looking to solve complex and ambiguous business challenges by leveraging advanced analytical techniques to provide innovative solutions, guide decision-making, and drive strategic initiatives.
Requirements
- 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
Responsibilities
- 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
Other
- 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
- Effective communication and collaboration skills
- Adaptability to learn new technologies and tools
- Time management and organizational abilities
