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Data Scientist

Confidential Client•Real Estate & Construction
Entry LevelFull-timeHybridN/A
Malvern, Pennsylvania
A Day Ago

The Data Scientist at Confidential Client is responsible for developing and implementing predictive models and advanced analytics solutions to support business objectives. This hybrid role involves coding, data analysis, experimentation, and collaboration with cross-functional teams to enhance data-driven decision-making and optimize operations within a leading real estate investment trust.

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Description

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, Real Estate.

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


Overview

This is a hybrid, entry-level Data Scientist role (2 days remote / 3 days in-office) based in Malvern, PA. The Data Scientist will join the Data Science team to build and validate predictive models and analytics solutions that support business decisions across marketing, operations, investments, and finance. You will work closely with senior data scientists and cross-functional partners to translate business questions into data-driven solutions.

Confidential Client is a publicly traded real estate investment trust (REIT) focused on self-storage operations. The organization seeks candidates who want to grow technical skills while delivering measurable business impact.


Responsibilities

  • Develop and implement machine learning models and advanced analytics solutions to address business challenges.
  • Perform data preprocessing, feature engineering, and model validation to ensure accuracy and scalability.
  • Analyze data from multiple sources to identify trends, patterns, and opportunities for improvement.
  • Contribute to predictive modeling efforts for customer segmentation, pricing strategies, and inventory management.
  • Assist in designing and evaluating experiments (A/B tests and controlled experiments) and interpret results.
  • Prepare reports and visualizations to communicate insights to technical and non-technical stakeholders.
  • Collaborate with cross-functional teams (marketing, operations, investments, finance) to align analytics with business needs.
  • Support senior data scientists on projects aimed at optimizing operations and enhancing customer experience.
  • Continuously learn and share best practices in data science and machine learning.

Qualifications

  • Graduate degree in Economics, Data Science, Statistics, Mathematics, or a related field.
  • 1–3 years of experience in data science, analytics, or a related role.
  • Proficiency in Python and SQL for data manipulation and model development.
  • Basic understanding of machine learning models and evaluation techniques.
  • Experience or familiarity with Databricks is preferred.
  • Strong problem-solving skills, attention to detail, and ability to manage multiple tasks.
  • Good communication skills; able to present technical concepts to non-technical audiences.
  • Ability to work collaboratively in a fast-paced team environment.
  • Candidates must be authorized to work in the U.S. without the need for current or future sponsorship.

Location & Work Model

  • Location: Malvern, PA (hybrid) — 2 days remote, 3 days in the Malvern office.
  • Applicants should be able to commute to Malvern, PA as required by the hybrid schedule.

What You’ll Gain

  • Hands-on experience building predictive models and analytics solutions in a commercial Real Estate environment.
  • Mentorship from senior data scientists and exposure to cross-functional business problems.
  • Opportunity to grow technical skills (ML modeling, A/B testing, Databricks) and influence business outcomes.

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.

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