Sorry, this job has expired.
Job Description
Looking for an opportunity with a dynamic, fun, and goal-oriented company? Were growing quickly and were looking for some not-so-typical talent to join our team.
Progress Residential is the largest providers of high-quality, single-family rental homes in the United States. With more than 90,000 homes across some of the fastest-growing markets, our residents appreciate the flexibility, freedom, and convenience of living in a single-family home without the obligations of home ownership.
Progress is committed to making the home rental process easy and enjoyable for the residents we serve by empowering our team members and investing in innovative systems and technology. Our portfolio has continued to grow substantially the past few years and we see increasing demand for professionally managed single-family rental homes and anticipate continued growth.
Employment with Progress Residential is conditional on a satisfactory background and drug screen.
Text ProgressJobs to 25000 and you can chat with our Recruiting Assistant Kate who can help you find jobs, apply for jobs and answer your questions.
Position Summary:
As a member of the Analytics team, the Data Scientist will be focused on improving the single-family rental (SFR) customer experience, increasing occupancy rates, and reducing costs on home repairs and renovations. This is a high visibility role with exposure to multiple functions within the organization. Day to day partnerships include working with his/her team and cross-functionally to understand Progresss business challenges and recommend data-driven solutions.
The right candidate is naturally curious, has excellent quantitative analysis and creative problem-solving skills, an ability to collaborate with a team, strong communication skills, and likes working in a fast paced environment. Additionally, this person must have demonstrated the ability to execute tasks in support of larger projects with their leadership teams support. This role will require articulating technical concepts to non-technical peers across the organization.
ESSENTIAL FUNCTIONS:
Use SQL to gather and aggregate data from multiple internal and external sources. Reconcile data with known sources of truth.
Manage and test model performance for models developed within the team, identify opportunities for improvement and proactively flag risks for managements review
Support the implementation of pilot programs through extensive UAT processes, hypothesis testing, report development, and recommending performance KPIs
Assist with analyses by preparing data and using a variety of techniques under managements supervision, ranging from machine learning (ex: XGBoost, CatBoost, Random Forest) to research-driven root cause. These tools will be used to highlight opportunities with Progresss key business drivers. For example, likelihood to renew, collectability scoring, predicted costs for renovations, building decision trees to support operating efficiencies for home repairs.
Segment data using techniques such as Clustering (ex: k-means, KNN) and Decision Trees
Develop predictive models for these segments; conduct quantitative research and back-testing to evaluate model assumptions and develop confidence in results
Uncover patterns, identify root causes, and accurately interpret operational and financial impact
Develop professional and trusting relationships with stakeholders
Support project execution by assisting in intake sessions, project sizing, and solution design
Create compelling stories with data in PowerPoint
REQUIRED QUALIFICATIONS:
Bachelors Degree required in a mathematics-based discipline such as engineering, math, statistics, economics or similar discipline; Masters degree preferred
3-6 years of relevant data science, analytics, predictive analytics or advanced risk modeling with large-scale data and project management experience
Expert in SQL experienced with writing complex, highly optimized queries across large volumes of structured and unstructured data in preparation for analyses; experience with Snowflake a plus
Proficient with Python and building predictive models, time series, regression and/or segmentation analyses on large data sets
Experience building insightful PowerPoint slides that use data to create compelling cases for change
Can quickly extract insights from various forms of data and succinctly guide the business on how to use them
Mastery of statistics fundamentals including probability theory, sampling, test vs. control, hypothesis testing, model performance monitoring, and applying these methods to solve real-world problems
Proven ability to collaborate in a team environment, and build rapport with stakeholders that do not have analytical expertise
Ability to balance multiple priorities and deliver results within compressed timelines
Self-starter, very resourceful, a quick learner with a high degree of agency, integrity and ownership
Ability to work at a fast pace, both independently and as a team, without sacrificing attention to detail
Must be comfortable hunting for, aggregating, cleaning, and validating data from multiple sources
Masters degree in quantitative discipline such as engineering, math, statistics, economics or similar discipline is Preferred
Experience in portfolio/risk management and/or quantitative analysis of capital assets
Experience with credit bureau data
Direct knowledge or experience with advanced loan or credit scoring and predictive modeling
Experience working as a data scientist (or equivalent role/function) in a regulated industry such as financial services, healthcare, real estate, etc., where predictive models must undergo stress testing and scrutiny by a 3rd party auditor and abide by SR 11-7 guidelines
Experience with the AWS computing environments and storage services such as s3
What you can expect from us:
Progress Residential offers all the financial and non-financial incentives you would expect from an innovative real estate investment and management firm:
In addition to outstanding training, we host quarterly summits and town hall meetings to encourage growth, knowledge sharing and a good time. After all, its about progress, not perfection.
We offer competitive compensation, including a performance-based bonus.
Our generous benefits package includes comprehensive healthcare coverage for you and your family, parental leave, paid time off, 401k match, 10 paid holidays and much more.
Closing Statement:
This summary is not an all-inclusive description of job duties. Other job duties and responsibilities may also be assigned by the incumbents supervisor at any time based upon Company need.
Progress Residential is a proud Equal Opportunity employer, m/f/d/v.