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Data Science Manager Job Opening In Austin – 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.

**About the Role**

Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers.

The Customer Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of our customer experience and to drive the company’s commercial performance.We are looking for a hands-on, experienced manager to lead a team of data scientists and business analysts, acting as a trusted partner to our sales, marketing, and product stakeholders helping them answer the most critical business questions.

Reporting to the Director of Commercial Data Science & Analytics, this role manages multiple areas of work and plays a critical part in driving key strategies and decisions on how to improve sales, customer acquisition, retention, and growth.This is a job for a full-stack data scientist with leadership skills and significant experience in stakeholder management and project management.

You are expected to not just react to needs/asks but also actively identify opportunities to move the needle in meaningful ways, in collaboration with a diverse set of cross-functional partners across product, sales, B2B Marketing, engineering, finance, and others.

**What you’ll do**

+ Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation.
+ Develop data and analytics strategies that are aligned with goals and priorities in the assigned business areas.
+ Partner closely with stakeholders to understand/clarify needs and requirements, and work with team members to conduct analysis and/or develop data science solutions to address the needs.
+ Work with large and complex data sets to solve a wide array of challenging problems using different data science methods including but not limited to regression, classification, time series, cluster analysis, and advanced machine learning algorithms.
+ Create trusted analytic data layers that serve as the single version of truth and enable wide access to key data and metrics.
+ Build and continuously improve reporting capabilities (e.g., Tableau dashboards) that provide self-serve access to valuable insights about the business and empower decision making.

Carry out deep-dive analysis to explain observations and trends.
+ Build data science models to surface actionable insights from large and complex data, predict trends or customer propensity, and optimize operations and resource allocations.
+ Design and execute experimentation to test business hypotheses, prepare test readouts, and provide data-driven recommendations.
+ Prepare deliverables and regularly present work to technical and non-technical audiences.

You will convince and influence leaders using clear insights and recommendations, and build credibility through structure and clarity.
+ Build strong partnerships with a wide range of cross-functional stakeholders and actively identify and unlock opportunities to improve business performance with data and analytics.
+ Closely collaborate across the Customer Data Science & Analytics organization to ensure broad adoption of data science and analytics initiatives to drive value across the entire customer business.

**What you’ll bring**

We are looking for a player-coach leader who’s intellectually curious, passionate about solving complex business problems using data and analytics, and is able to move fast while maintaining focus on high-impact projects.

**Minimum Qualifications**

+ Bachelor’s degree, ideally in a quantitative field ( _e.g._ , Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science, Computer Science).
+ 6+ years of professional experience in data science and analytics, with 2+ years experience managing people.
+ SQL fluency is a must, with 5+ years of experience.
+ 3+ years of experience using a scripting language like Python or R.
+ Significant experience with experimentation in a business context, including test design, execution, tracking and analysis of results, and readout/recommendations.
+ Strong communication skills for stakeholder engagement and team leadership.
+ Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities.
+ Experience in collaborating with cross-functional partners.
+ Experience managing multiple priorities and adapting to changing business needs.

**Preferred Qualifications**

+ Master's or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background.
+ Experience with cloud-based data environments such as Snowflake and AWS.
+ Experience building and managing analytic data layers.

Knowledge of ETL processes, data environments, data governance principles, etc.

Knowledge of DBT, Airflow, and Snowflake preferred.
+ Experience in leading reporting/data visualization capabilities (using Tableau or similar tools).

Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting.
+ Demonstrated ability to develop a roadmap for complex technical initiatives and effectively communicate progress against that roadmap.

**How we Reward you:**

Realtor.com® is committed to investing in the health and wellbeing of our employees and their families.

Our benefits programs include, but are not limited to:

+ Inclusive and Competitive medical, Rx, dental, and vision coverage
+ Family forming benefits
+ 13 Paid Holidays
+ Flexible Time Off
+ 8 hours of paid Volunteer Time off
+ Immediate eligibility into Company 401(k) plan with 3.5% company match
+ Tuition Reimbursement program for degreed and non-degreed programs
+ 1:1 personalized Financial Planning Sessions
+ Student Debt Retirement Savings Match program
+ Free snacks and refreshments in each office location

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 Data Science Potential: Insight & Career Growth Guide


Real-time Data Science 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 Data Science in Austin, United States, highlighting market share and opportunities for professionals in Data Science roles.

49207 Jobs in United States
49207
880 Jobs in Austin
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Download Data Science Jobs Trends in Austin and United States

Are You Looking for Data Science Manager Job?

Great news! is currently hiring and seeking a Data Science Manager to join their team. Feel free to download the job details.

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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 Data Science Manager Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Austin. 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 Data Science Manager?

Key qualifications for Data Science Manager 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.

How Can I Improve My Chances of Getting Hired for Data Science Manager?

To improve your chances of getting hired for Data Science Manager, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Science Manager Job Success

Realtor.com interview tips for Data Science Manager

Here are some tips to help you prepare for and ace your Data Science Manager 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 Data Science Manager 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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