Data Science Summer Intern - Link Logistics : Job Details

Link Logistics Real Estate ( Link ) is a leading operator of last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans more than half a billion square feet. With more than 5 percent of U.S. GDP flowing through our spaces, we leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers' businesses and deliver value for our stakeholders. Link Logistics strives to be the most equitable and inclusive industrial real estate company in the business. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work, prioritizing diversity, equity and inclusion (DEI) across our workforce to deliver an optimal employee experience. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo. Because we believe that good business must be synonymous with doing good, strong environmental, social and governance practices are foundational to our identity as a firm. These practices include setting ambitious goals to combat climate change, partnering with local nonprofits, and prioritizing internal diversity, equity, and inclusion efforts. Importantly, Link's principles define how we operate. They unify and guide every decision, action and behavior within our organization and are the foundation upon which our culture is built. Each day at Link brings exciting opportunities to prioritize our customers, operate as one team, do the right thing, foster innovation, strive for enduring positive impact and deliver outcomes. Link's 10-week paid summer internship program is designed to help students gain valuable experience and develop business skills while learning the basics of commercial and industrial real estate. We offer internships in 15 departments including Capital Markets, Construction, Development, Financial Planning & Analysis, Investments, IT, Leasing, Property Management, Marketing and more. Link is looking for actively enrolled juniors (rising seniors) who will be responsible for supporting the team's efforts to build and implement machine learning models to inform better business decision making. You will be working with a cross-functional team of both supply chain and real estate veterans while developing a data science skillset via in-depth projects that'll involve applying statistical and technical rigor to solve key challenges surrounding the world of industrial real estate. WHAT WILL YOU BRING:

• Collect, clean, and analyze raw and complex industry data from disparate sources to identify patterns and statistically significant signals
• Research and apply various modeling and analytical techniques to build solutions that answer key business needs and goals
• Interpret models and articulate findings into concrete measurable actions that will inform Link's investment, operational, and strategic direction
• Provider broader analytical support to the Research & Analytics team

QUALIFICATIONS:

• Current junior (rising senior) undergraduate student at an accredited four-year institution
• Pursuing a degree in statistics, economics, computer science, or similar quantitative discipline
• Proficiency in Excel and Python (or R)
• Must currently be actively enrolled for consideration of internship

$30/hour represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience. EEO Statement The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email [email protected].