Graduate Level - Summer 2023 (Hybrid or Remote)

At Lands' End, we are on a mission to create a more comfortable world. We care about our employees, our community and our planet. People are the heart of our company, and our doors are open to everyone. We are committed to creating a welcoming, safe and inclusive environment for all. Our strength in work and life comes from the combination of our experiences, backgrounds and talents. It's what we do as people that makes Lands' End a great place to work.

As an intern, you will join over 5,000 talented individuals who are leaders, critical thinkers, accountable, curious, flexible and results-minded all driving toward the same goal - to delight customers and drive sales through multiple channels. Our 12-week, summer Internship program gives you the freedom and flexibility to work in a location that is most comfortable and productive for you.

In addition, you will join a diverse group of individuals from a variety of colleges, universities and areas of study. Some highlights of our internship program include:

• Twelve-week program: May 22 - August 11


• Paid Internship: $25/hr


• Hybrid and Remote options


• Computer equipment shipped directly to you


• Summer Hours: Work ends on Fridays at 1pm



• Team building and networking activities




• Group projects and career-building workshops



• Leadership and cross-functional learning opportunities


• Assigned mentor focused on your growth and development


• Senior leader speaker series


• Lands' End merchandise 50% discount

Our internship program is designed with future leaders in mind and serves as a pipeline for top talent. Participants in our program receive one-on-one mentorship while working alongside seasoned Marketing professionals. You will work with the team to develop and provide analysis and identify opportunities for innovation, efficiency and productivity. We will look to you to share your ideas and recommendations. The Intern experience at Lands' End is a comprehensive development-based role, designed to facilitate a robust Marketing career path. Interns will be immersed and integrated in the various functions of Marketing and understand the factors that contribute to the broader scope of Marketing while gaining valuable hands-on experience in skill competency areas.

The Data Scientist intern will assimilate data from multiple sources to investigate complex problems, forming actionable findings and insights to positively impact business results. We expect that as part of the internship you are highly inquisitive, explorative, performing "what if" analysis and questioning existing assumptions and processes. Armed with data and analytical results, you will then communicate informed conclusions and recommendations across the organization's leadership team.

KEY RESPONSIBILITIES:

• Develops and codes software programs, algorithms, mathematical approaches and automated processes to solve business problems




• Uses analytical rigor and statistical methods, machine learning, programming, data modeling, simulation and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing business questions and making valuable discoveries



• Researches new ways for modeling and predictive behavior for large-scale projects


• Generates and tests hypotheses, designing experiments to answer targeted questions


• Evaluates data quality and extracts data in a "Big Data" environment


• Documents projects including business objective, data gathering and processes, leading approaches, final algorithm, detailed set of results and analytical metrics


• Works with large datasets in a 'Big Data' environment within retail/e-commerce


• Programming in major analytics software packages (R, Python, mySQL )


• Works with unstructured data sets, cloud-based architecture and deployment frameworks for machine learning algorithms (e.g. Spark, etc.)

REQUIRED KNOWLEDGE AND SKILLS:

• Pursuing a Master's Degree in relevant STEM/CS field




• Experience in statistical models, data analysis and visualization



• Experience with extraction and manipulation of relational databases (SQL)


• Experience with large data sets


• Confidence with analytical tools


• Proven ability to succeed in both a collaborative and independent work environment


• Expertise designing and delivering presentations


• Familiarity with SQL or other querying language


• Inquisitive mind, diligent work ethic and high energy level


• Strong analytical and problem-solving skills


• Strong communication skills to communicate findings