Manager, Applied Science Jobs

About the team

StreetEasy is reimagining the way people buy, sell, and rent homes across New York City and New Jersey. Used more than any other local real estate platform, StreetEasy’s website and mobile apps provide vetted and verified listings, plus intuitive search tools and data-driven guides to help people unlock the opportunity of living here.
We are a technology driven group who constantly strive to use the best engineering methods available to build groundbreaking products. The creative and innovative solutions we build are used by millions of people in New York and across the country.

About the role

We are looking for a senior leader who will lead the data product & engineering team to support the business by providing data-driven insights and recommendations.

In this role, you’ll:

• Lead a team of applied scientists and data engineers
• Work in an Agile and fast paced environment
• Recognize patterns and emerging trends and communicate impact and strategic recommendations
• Mentor, develop, and coach team members
• Communicate (verbal + written) results and impact to broad audience
• Ensure an inclusive work environment and develop your team’s professional growth
• Manage and prioritize data requests based on business value
• Develop a clear data architecture & Machine Learning product vision and strategy by collaborate with key partners such as Product, Marketing, Sales, Finance, Data Engineering, Software Development, Applied Science, UX Design
• Collaborate with larger Zillow AI and Applied Science teams

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.

In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $157,100.00 - $250,900.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.

Who you are

We are looking for a leader in the Data Analytics and Data Science space that has a love for solving problems through engineering and data science. You ideally should have:

• 2 years or more of experience as data product and machine learning leader in a team environment.
• Have strong data modeling skills and data architecture knowledge
• Knowledge of Machine Learning foundational, ML models & AI data platform
• Proficient in Python and/or Java, SQL
• Skills to clearly articulate strategic, customer, competitive and/or prioritization trade-offs and how it relates to others in the company. Demonstrable bias toward action.
• Strong relational database and data integration experiences with third party tools like Salesforce and Iterable

Nice to Have:

• Undergraduate or graduate degree in a quantitative field (e.g. science, engineering, mathematics) or equivalent experience.
• Experience with data management tools and services such as, Apache Airflow, Kafka, , DBT, Snowflake,
• Work in agile methodology and familiar with Jira tool
• Experience with Real Estate or online marketing and transaction data analysis

Get to know us

Zillow is reimagining real estate to make home a reality for more and more people.

As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].

Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.