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Assistant Real Estate Data Science Jobs (NOW HIRING)

Start in Real Estate as a Showing Assistant | Ani Real Estate Location: Chicago Metro Area Type: Independent Contractor (Part-Time / Flexible) Looking to get into real estate but not sure where to ...

Transactions Assistant Real Estate The Transactions Assistant Real Estate, working in collaboration ... Perform database research and data entry. * Assist with corporate closings. * Obtain documents and ...

Showing Assistant Real Estate

Boca Raton, FL ยท On-site

$25K - $49K/yr

Summary Join us as a Showing Assistant and elevate your career by collaborating with our committed team. Acquire practical real estate experience, master the Keller Williams methodologies and systems ...

Summary Become a Showing Assistant and advance your career by working alongside our dedicated team. Gain hands-on real estate experience while learning the Keller Williams models and systems ...

Showing Assistant Real Estate

Acworth, GA ยท On-site

$25K - $49K/yr

Summary Join us as a Showing Assistant and elevate your career by collaborating with our committed team. Acquire practical real estate experience while mastering the Keller Williams models and ...

Showing Assistant Real Estate

Calhoun, GA ยท On-site

$25K - $49K/yr

Summary Become a Showing Assistant and advance your career by working closely with our dedicated team. Gain hands-on real estate experience while learning the Keller Williams models and systems ...

Showing Assistant Real Estate

Rockwall, TX ยท On-site

$25K - $49K/yr

Summary Become a Showing Assistant and advance your career by working alongside our dedicated team. Gain hands-on real estate experience while learning the Keller Williams models and systems ...

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Assistant Real Estate Data Science information

What does an Assistant Real Estate Data Science professional do?

An Assistant Real Estate Data Science professional supports the analysis and interpretation of real estate data to help guide business decisions. They assist in collecting, cleaning, and organizing large datasets related to property values, market trends, and customer behavior. Their work often involves using statistical methods and machine learning tools to generate insights, create reports, and support predictive modeling. This role is essential for helping real estate companies make data-driven choices in buying, selling, or managing properties.

What are the key skills and qualifications needed to thrive as an Assistant Real Estate Data Scientist, and why are they important?

To thrive as an Assistant Real Estate Data Scientist, you need strong analytical skills, a solid understanding of statistical methods, and a degree in data science, statistics, computer science, or a related field. Experience with tools like Python, R, SQL, and familiarity with real estate databases or property management systems is typically required. Excellent problem-solving abilities, attention to detail, and strong communication skills help in interpreting data and conveying insights to stakeholders. These skills are crucial for providing actionable data-driven recommendations that support real estate business strategies and decision-making.

How does an Assistant Real Estate Data Science professional typically collaborate with other departments within a real estate firm?

As an Assistant Real Estate Data Science professional, you will regularly partner with teams such as sales, marketing, finance, and property management. Your role often involves translating complex data analyses into actionable insights that help these departments make informed decisions about investments, pricing strategies, and customer targeting. You may also participate in cross-functional meetings to align on project goals and ensure that data-driven solutions support broader business objectives. Effective communication and the ability to explain technical findings to non-technical colleagues are key aspects of success in this collaborative environment.
More about Assistant Real Estate Data Science jobs
What cities are hiring for Assistant Real Estate Data Science jobs? Cities with the most Assistant Real Estate Data Science job openings:
What are the most commonly searched types of Real Estate Data Science jobs? The most popular types of Real Estate Data Science jobs are:
What states have the most Assistant Real Estate Data Science jobs? States with the most job openings for Assistant Real Estate Data Science jobs include:
Infographic showing various Assistant Real Estate Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Senior Data Scientist

Ascent Developer Solutions

Los Angeles, CA โ€ข On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


Job description

About Ascent
Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies.
ROLE SUMMARY
The Data Scientist is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities.
ESSENTIAL DUTIES
Data and analysis
  • Analyze public records and other real estate data using NLP and machine learning techniques to identify patterns and cluster entities.
  • Develop methods for evaluating and selecting large language models (LLMs) for deployment.
  • Build predictive models to identify potential borrowers, likelihood of default, and quality/valuations of properties for lending activities.
  • Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights.
  • Assist in fostering a culture of test & learn within the company.

Leadership
  • Serve as analytics consultant to a broad variety of line-of-business teams.
  • Partner with technology teams on product changes and impacts on data/performance.
  • Mentor junior analysts on various data science techniques.

QUALIFICATIONS
  • Bachelor's degree in quantitative field.
  • 5-7 years of experience in analytical or consulting roles.
  • Strong data science skills with AI/ML related Python libraries such as PyTorch, TensorFlow, and Keras. Conceptual knowledge of LLM's.
  • Strong knowledge of statistics, hypothesis testing, and setting up experiments.
  • Must have deployed several models to production.
  • Exposure to data engineering skills.
  • Strong communication and partnership skills, effective cross-department collaboration skills.
  • Self-starter who can work under limited supervision.
  • Mentoring skills to help develop junior analysts.

WORK ENVIRONMENT
  • This role works on-site from Ascent's Encino office 2 days per week
  • Full-time, 40 hours per week; must be available for occasional overtime
  • Some nights and weekends required.

THE PAY
Salary range is $130,000-$150,000 per year, with a discretionary bonus of 20% per year.
Our Benefits
We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include five health plans, two dental plans, health savings and flexible spending accounts, vision coverage, a 401(k) plan, and other optional benefits from which to choose.
Our Pledge
We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.