About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, a Confidential Client in commercial real estate information & analytics (Leasing Non-residential Real Estate; IT Services & Research Services).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role Description

This Confidential Client is hiring a Data Scientist to improve data quality and research processes using machine learning, AI, and statistical modeling. This is a full-time, in-office role based in Richmond, VA. You will work closely with product, engineering, and research teams to design, validate, and deploy models that increase data completeness, accuracy, and operational efficiency.

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What You’ll Do

• Develop and evaluate supervised and unsupervised machine learning models to support data quality and research objectives.
• Leverage frontier AI approaches (including computer vision and multi-modal techniques) to accelerate data ingestion, extraction, and validation.
• Design rigorous experiments and validation strategies to ensure model accuracy, robustness, and fairness.
• Translate business requirements into data-driven solutions and present results to technical and non-technical stakeholders with demos or professional visualizations.
• Monitor production model performance and proactively retrain or refine models as datasets and requirements evolve.
• Work with large, complex datasets and production engineering teams to operationalize ML solutions.

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Basic Qualifications

• Bachelor’s degree in computer science, data analytics, statistics, machine learning, or a related field.
• 2+ years of experience building and deploying machine learning or statistical models.
• Strong understanding of modeling techniques (supervised and unsupervised), validation strategies, and evaluation metrics.
• Proficiency in Python and ML/data libraries (experience with PyTorch preferred).
• Experience working with large, complex datasets.
• Comfortable collaborating on cross-functional teams and communicating technical concepts to non-technical audiences.

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Preferred Qualifications

• Experience integrating Large Language Models (LLMs) into business processes or applications.
• Experience with AWS or other major cloud providers.
• Familiarity with commercial real estate datasets or related domain knowledge.
• Experience with computer vision or multi-modal modeling approaches.

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Benefits & Compensation

• Competitive base salary range: $71,400 to $115,500 annually (base).
• Comprehensive healthcare (medical, vision, dental) and prescription coverage.
• Life, legal, and supplemental insurance options.
• Mental health counseling (virtual and in-person) and wellness programs.
• 401(k) retirement plan with matching contributions.
• Employee stock purchase plan, tuition reimbursement, and professional development resources.
• Paid time off and commuter/parking benefits (location dependent).
• On-site or reimbursed fitness benefits and complimentary refreshments.

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Location & Employment Terms

• Worksite: Richmond, VA — this role is in-office.
• Employment type: Full-time.
• Candidates must be authorized to work in the United States. The Confidential Client is not able to provide visa sponsorship for this position.
• Reasonable accommodations are available upon request for applicants with disabilities.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.