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Senior Data Scientist

About Mainstay

Are you ready to be a part of something groundbreaking? Mainstay is the leading market intelligence platform purpose-built for buying, managing, and selling homes in the single-family rental industry. We empower informed decision-making and unlock opportunities for owners, operators, and residents by aggregating and standardizing data from over 50 unique sources. Originally founded within Opendoor, Mainstay launched as an independent company in 2024, driven by our mission to simplify the complex and bring clarity and trust to the single-family rental ecosystem. Join us as we reshape the future of the industry!

About the team

At Mainstay, we’re focused on transforming the single-family rental industry by providing cutting-edge market intelligence solutions. Our Data team plays a key role in this mission, driving data-driven decisions across the company. They work closely with Product, Engineering, and Leadership to shape strategy and fuel product development. The team takes pride in tackling complex challenges, fostering innovation, and helping each other succeed as they develop insights that make a real impact on the business.

What you'll do

As a Senior Data Scientist, you will play a key role in driving business outcomes through advanced statistical and machine learning techniques. You'll develop data products, conduct in-depth analyses, and deliver insights to inform decision-making. This role allows you to collaborate across teams, solve complex business problems, and make a meaningful impact on the company's strategic direction. 

You are expected to:

  • Model Development: Build and refine statistical and machine learning models to drive business outcomes.

  • Data Products: Develop self-service data products providing insights into market dynamics and competitive benchmarks.

  • Business Insights: Conduct analyses to identify growth opportunities and drive data-driven recommendations.

  • Cross-Functional Collaboration: Partner with leadership, product, and engineering teams to execute experiments and scale platform strategies.

  • Tool Development & Visualization: Build analytical tools and dashboards to communicate findings to both technical and non-technical stakeholders.

What we're looking for

  • 5+ years of industry experience post-academia, with an advanced degree in a quantitative field.

  • Expertise in statistical inference, study design, and machine learning modeling.

  • Proficiency in Python, SQL, and numeric programming languages.

  • Ability to manage, clean, and transform evolving datasets to derive accurate insights.

  • Ability to create compelling dashboards and visual narratives for communicating insights.


Bonus points if you have:

  • Experience in real estate or financial services.

  • Background in optimization, causal inference, or macroeconomic modeling.

  • Analytic Engineering: Experience in transforming raw data into accessible, actionable insights for business decision-makers.

Compensation and Benefits

Mainstay’s compensation varies by U.S. geographic market to align with local labor costs. For most locations, the annual pay range for this position is $152,960–$215,100, while the base salary range for roles based in the SF Bay Area, Seattle, and New York City Metro area is $191,000–$239,000. Pay is based on location, skills, and experience, and your recruiter will confirm the specific range for your job location. Please note that remote roles are available in all U.S. states except Hawaii, Alaska, Montana, and U.S. Territories.

Benefits Package (for full-time employees only):

  • Paid time off and 12 paid holidays annually

  • Medical, dental, and vision insurance

  • Basic life insurance

  • 401(k) retirement plan

#LI-AW

Mainstay Built on Trust

At Mainstay, trust is at the core of everything we do. We build trust with everyone -- from candidates to employees to partners. We believe in fairness and openness throughout our hiring process, evaluating candidates based on qualifications without regard to race, color, religion, national origin, age, gender, marital status, disability, veteran status, sexual orientation, gender identity, or any other protected status. Our privacy practices describe how we handle applicant information, you can find the policy details for California residents here.

We are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at mainstay-recruiting@opendoor.com

Average salary estimate

$184030 / YEARLY (est.)
min
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$152960K
$215100K

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What You Should Know About Senior Data Scientist, Mainstay Labs Inc.

Join Mainstay as a Senior Data Scientist and be a pivotal part of reshaping the single-family rental industry! At Mainstay, we're on a mission to simplify complex market dynamics through our cutting-edge market intelligence platform. Our Data team is at the heart of this transformation, driving insights that empower decision-making and create opportunities for our clients. In this role, you will leverage advanced statistical and machine learning techniques to develop data products that offer critical insights into market trends. Your work will directly influence the strategic direction of the company. You'll collaborate closely with cross-functional teams, tackling complex challenges and delivering actionable insights to stakeholders at all levels. Your expertise will shine as you build and refine predictive models, perform in-depth analyses, and create user-friendly dashboards that visualize vital findings. With over 5 years of experience and a strong background in quantitative fields, you're excited to dive into the intricacies of the rental market, analyze evolving datasets, and derive insights that fuel business growth. If you're looking for an opportunity to make a meaningful impact in a dynamic environment, we want you to bring your skills and passion to the Mainstay team!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Mainstay Labs Inc.
What responsibilities does a Senior Data Scientist have at Mainstay?

As a Senior Data Scientist at Mainstay, your primary responsibilities include building and refining statistical and machine learning models to drive business outcomes, developing self-service data products, and conducting deep analyses to uncover growth opportunities. You'll work collaboratively with various teams to scale platform strategies and create visualization tools that communicate your findings effectively.

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What qualifications are required for the Senior Data Scientist position at Mainstay?

To succeed as a Senior Data Scientist at Mainstay, candidates should have 5+ years of industry experience, preferably in quantitative fields, along with proficiency in statistical inference and machine learning techniques. A strong command of Python and SQL, as well as the ability to clean and manage evolving datasets, is also crucial. Bonus points are awarded for experience in real estate or financial services!

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How does the Senior Data Scientist contribute to decision-making at Mainstay?

The Senior Data Scientist at Mainstay plays a vital role in decision-making by conducting analyses that drive data-driven recommendations. This involves developing models that predict market trends, offering insights that help shape strategies, and assisting leadership in making informed choices that impact both operational and strategic directions.

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What types of tools and technologies does a Senior Data Scientist at Mainstay use?

In the role of Senior Data Scientist, you will work primarily with Python and SQL for data analysis and model development. You’ll also utilize various analytical tools and visualization software to create dashboards, providing meaningful insights to both technical and non-technical stakeholders.

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What can a Senior Data Scientist expect in terms of compensation and benefits at Mainstay?

At Mainstay, Senior Data Scientists can expect a competitive compensation package that ranges from $152,960 to $215,100, depending on location and experience. Additional benefits for full-time employees include medical, dental, and vision insurance, retirement plans, generous paid time off, and various holidays throughout the year.

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Common Interview Questions for Senior Data Scientist
Can you describe a project where you successfully applied machine learning techniques?

When answering this question, outline the project details, the machine learning techniques you employed, and the results you achieved. Focus on how your approach solved a specific problem or improved decision-making processes.

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How do you handle missing data in your analysis?

Discuss various techniques you might use for handling missing data, such as imputation, deletion, or using algorithms that support missing values. Emphasize your ability to choose the most suitable method depending on the context of the dataset.

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What experience do you have with developing dashboards for stakeholder communication?

Share specific examples of dashboards you’ve created, what tools you used (like Tableau or PowerBI), and how those dashboards helped drive insights for stakeholders. Highlight your focus on usability and clarity in visual communication.

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Explain how you choose which statistical model to apply in a given situation.

Provide insight into your decision-making process when selecting a model, including factors such as data characteristics, the specific problem you’re addressing, and the goals of your analysis. Elaborate on how you validate your choice.

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How do you ensure your models are interpretable and actionable?

Discuss strategies you employ to ensure model interpretability, such as including feature importance scores and using simpler models when appropriate. Be ready to explain how you communicate model findings to stakeholders.

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Describe a challenging data set you worked with and how you approached the analysis.

Detail the specific challenges related to the data (e.g., size, complexity, noise) and the steps you took to analyze it. Mention techniques like data cleaning, transformation, and the analytical methods you applied.

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How do you stay updated with the latest trends and developments in data science?

Share specific resources you use such as journals, online courses, or professional organizations you engage with. Highlight any particular communities or events you participate in.

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What role does collaboration play in your data science projects?

Emphasize the importance of collaboration by discussing how you interact with cross-functional teams to enhance project outcomes, share insights, and gather diverse perspectives during analysis.

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Can you give an example of a time when your analysis helped shape a business decision?

Provide a concrete example where your data insights directly influenced business strategies or decisions. Describe the analysis process and the outcome as a result of your recommendations.

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What are the biggest challenges facing data scientists today?

Share your perspective on current trends and challenges in the data science field, such as data privacy concerns, model bias, or the rapid pace of technological change. Discuss how you address these challenges in your work.

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Full-time, remote
DATE POSTED
January 7, 2025

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