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Senior Data Scientist Job Opening In Scottsdale – Now Hiring Realtor.com


Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home.

Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

**Senior Data Scientist**

The Data Science and Analytics organization athttp://realtor.com sits at the heart of our mission.

We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals.

Our goal is to use this data to make the home buying experience a breeze for our consumers.

We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs.

**Role Description**

We are seeking a Senior Data Scientist with a strong background in experimentation, media analytics, and cross-functional stakeholder support to join our Client Analytics team.

In this role, you will analyze large-scale product and media experiments, consolidate and rebuild business-critical metrics, and deliver clear recommendations that inform high-impact decisions across product, media, and finance.

The ideal candidate is a detail-oriented executor who thrives on repeatable analytics, enjoys collaborating with partners in product and media, and brings expertise in Python, SQL, and Amplitude (or similar analytics platforms).

**Responsibilities**

+ Partner with business stakeholders to translate experiment questions and business needs into actionable analytics, providing timely and accurate answers on A/B test outcomes, media impact, and product changes.
+ Analyze and report on dozens of product and media experiments each quarter, using Python (pandas, numpy, scipy), SQL, and Excel to clean, aggregate, and interpret data from sources such as Google Ad Manager and Amplitude.
+ Apply standard statistical testing ( _e.g._ t-tests) to assess significance and produce clear, actionable recommendations (including “no effect” findings) for product, media, and business teams.
+ Set up, monitor, and analyze live experiments in Amplitude or similar product analytics platforms, ensuring correct instrumentation, sample assignment, and data quality.
+ Lead metric consolidation and calculation projects joining multiple data sources and building SQL pipelines for executive-ready business metrics.
+ Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences.
+ Respond to ad hoc and recurring requests for experiment analysis, media reporting, and metric deep-dives with precision, speed, and reliability.
+ Balance high experiment throughput with ad hoc media reporting, regularly prioritizing work across multiple stakeholders.
+ Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work.

**Minimum Qualifications**

+ Typically requires a minimum of 5 years of related experience with a Bachelor’s degree;or 3 years and a Master’s degree; or a PhD without experience; or equivalent workexperience
+ Degree in a quantitative field ( _e.g._ , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
+ Relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy).
+ Proven track record managing and delivering on high-volume experimentation, media analytics, or product analytics projects with multiple stakeholders.
+ Experience with Amplitude, Mixpanel, or similar product analytics platforms.
+ Strong SQL skills, including experience building and joining complex pipelines; ability to handle large, messy, multi-source data.
+ Proficient in Excel/Google Sheets for quick reporting and ad hoc analysis.
+ Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.).
+ Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences.
+ Self-motivated and self-managing, with strong time management, documentation, and organizational skills.

**Preferred Qualifications**

+ Master's or Ph.D. degree in a quantitative field ( _e.g._ , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
+ Experience in ad tech, media analytics, or digital advertising environments.
+ Familiarity with revenue or monetization analytics.
+ Experience with dashboarding tools ( _e.g._ , Tableau, Looker).
+ Exposure to real estate, marketplace, or consumer product analytics.

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home.

And you’ll find your way home too.

At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates.

In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law.

In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.


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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Scottsdale, United States, highlighting market share and opportunities for professionals in Senior Data roles.

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Are You Looking for Senior Data Scientist Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Realtor.com adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Senior Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Scottsdale. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Scientist?

Key qualifications for Senior Data Scientist typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Scientist Job Success

Realtor.com interview tips for Senior Data Scientist

Here are some tips to help you prepare for and ace your Senior Data Scientist job interview:

Before the Interview:

Research: Learn about the Realtor.com's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Scientist interview at Realtor.com, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Realtor.com's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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