Sr Analyst Data Scientist

Amherst

Join Amherst as a Sr Analyst Data Scientist to leverage proprietary analytics in the single-family home and mortgage markets, collaborating with business and tech teams.

Last checked on July 1, 2026. We may earn a commission when you click through.

The opportunity with Amherst offers a strong entry into the data science field within real estate, n attractive option for senior analysts. However, the lack of remote work may deter some potential candidates.

✓ Engaging projects in a growing industry. ✓ Opportunity to work with advanced analytics. ✓ Collaborative team environment.

Sr Analyst Data Scientist

Amherst

Updated 27 days ago

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Mumbai

About this role

Join Amherst as a Sr Analyst Data Scientist to leverage proprietary analytics in the single-family home and mortgage markets, collaborating with business and tech teams.

About the Company

Amherst specializes in real estate analytics, combining national scale with local market insights to enhance investment strategies.

Key Highlights

✓ Work on high-impact real estate and finance projects.
✓ Utilize proprietary analytics for market insights.
✓ Collaborate with cross-functional teams.

💡 Honest Take: This position is ideal for data enthusiasts with a passion for real estate, but may not suit those seeking remote work options.

Pros

✓ Engaging projects in a growing industry.
✓ Opportunity to work with advanced analytics.
✓ Collaborative team environment.

Cons

✗ On-site work only, limiting flexibility.
✗ No disclosed salary range.
✗ Requires significant experience.

Best For: Ideal for professionals looking to leverage their analytical skills in a dynamic real estate market.

Watch Out: Consider the lack of remote work and unclear salary range before applying.

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What Customers Say

Feedback from employees highlights a supportive team environment but raises concerns about the lack of remote work options.

Expert Review

This role at Amherst presents an exciting chance to dive into the real estate sector through data science. The company’s approach combines extensive analytics with market knowledge, crucial for impactful decision-making. While the focus on high-impact projects is promising, it requires a solid background in data science, which may not suit entry-level candidates.

The need for on-site work could limit applicant interest, especially in a post-pandemic world where remote options are increasingly preferred. Transparency regarding salary is also lacking, which is a significant consideration for potential candidates. Without a clear financial incentive, it may not attract the best talent in a competitive job market.

Overall, this position is well-suited for seasoned professionals eager to make a mark in the real estate analytics space. For those not ready to commit to an on-site role or seeking clearer compensation terms, it might be best to explore other opportunities.