Data Scientist - Supply Chain Optimization

Job Locations US-TX-Irving
Posted Date 3 months ago(8/12/2020 4:54 PM)
ID
2020-75698
Function
Business Transformation & Demand Chain

Overview

Who we are

Imagine working in a place where continuous improvement and innovation is celebrated and rewarded; where fast-paced, high-impact teams come together to positively drive results for one of the largest & most iconic brands in the world.

 

As the only rapidly growing retailer, you may know us as your friendly neighborhood store. You probably know our familiar name, have seen our pervasive logo, and have tried our highly sought-after products, such as Slurpee® and Big Bite®.  “Brain Freeze” is a 7-Eleven registered trademark for our 53-year old Slurpee® and with over 67,000 stores globally (more than any other retailer or food service provider), we sell over 14 million a month.

 

But there’s a lot more to our story and much more left to be written.  We are transforming our business, ensuring we are customer obsessed and digitally enabled to seamlessly link our brick and mortar stores with digital products and services. 

 

At 7-Eleven the entrepreneurial spirit is in our DNA and has been ever since our inception 90+ years ago. It’s what drove us to invent the convenience industry in 1927 by envisioning how a simple ice dock could provide household staples such as milk and eggs to better serve the needs of our customers.

 

Today we are redefining convenience and the customer experience in big ways...we are fundamentally changing our culture and we want talented, innovative, customer obsessed, and entrepreneurial people like you to come make history with us

 

How we lead

At 7-Eleven we are guided by our Leadership Principles.

  1. Be Customer Obsessed
  2. Be Courageous with Your Point of View
  3. Challenge the Status Quo
  4. Act Like an Entrepreneur
  5. Have an “It Can Be Done” Attitude
  6. Do the Right Thing
  7. Be Accountable

Each principle has a defined set of behaviors which help guide the 7-Eleven team to Serve Customers and Support Stores.

 

About This Opportunity

Responsibilities

7-Eleven is one of the world’s most recognized brands and one of America’s top convenience retailer serving customers at nearly 10,000 stores as well as online. But behind the customer experience, is a complex, multifaceted organization that relies on innovative, effective supply chain management and distribution to make sure the right products make it to the right stores at the right time. 7-Eleven is looking for strong leaders and operational experts to join our Supply Chain & Distribution Center Management Team. You'll bring the managerial drive and operational savvy to inspire your team and achieve exceptional results. You will leverage technology and a culture of continual innovation to optimize our supply chain network. You'll play an important role at one of America's leading convenience retailers, and benefit from a dynamic company culture where success is rewarded.

The Data Sciences team is responsible for defining 7-Eleven Supply Chain future operating model across the full value chain from vendor to customer. This team is responsible for developing optimization, simulation, machine learning models and niche data science techniques to evaluate product flow from vendor to omnichannel distribution center and customer, across the first mile, middle mile and last mile, with focus on delivery speed, ensuring sufficient capacity for throughput and storage (via inventory modeling) in the network and improve operating efficiencies in omnichannel distribution and transportation across the network.

 

  • Develop an understanding of 7-Eleven supply chain data and gather/ analyze the same to understand the current state of the supply chain.
  • Identify underlying patterns and business opportunities with data.
  • Participate in design and implementation of data science models and algorithms in a production environment.
  • Anticipate and evaluate impact of analytical solutions on related projects as part of the developing complex analytical algorithm/solutions for various business problems.
  • Stays current with analytical advancements and provide thought leadership in choosing the right algorithm for solving a given business problem.
  • Decompose large and complex problems into simple and easy to understand solutions.
  • Present and share complicated machine learning and data science solutions to leadership, stakeholders, and cross functional team.
  • Participates in internal & external technology & analytical forums and discussions.
  • Prioritize workload, ensure high quality of solutions that adhere to standards and best practices are delivered in timely fashion.
  • Outstanding written and verbal communication skills.
  • Proficiency with manipulating large data-sets, data analysis and modeling software (R, Spark, Python, etc.).
  • Ability to define the problem under ambiguous business considerations, gather the appropriate data, develop the models and deliver appropriate recommendations at the speed of business.
  • Define and conduct experiments/ scenarios to validate or reject hypothesis and inform appropriate recommendations to stakeholders.
  • Work with peers and stakeholders across Planning, Design, Supply Chain, Merchandising, Finance and Operations to evaluate different business opportunities.
  • Foster a culture of innovation and inclusiveness.
  • Develop insights through analysis and visualization with data to inform and influence stakeholders.

Qualifications

  • Master’s in Industrial Engineering, Mathematics, Computer Science, Statistics and other related quantitative fields.
  • 5+ years of relevant work experience, preferably in a supply chain environment.
  • Experience with programming in SQL, R, Python, Spark, Shell Script, SAS.
  • Exposure to operations research techniques is a plus.
  • Ability to work independently and as part of a diverse team.
  • Excellent interpersonal skills and a tenacious attitude.
  • Proven record of innovation and strategic impact across teams.
  • 2+ year experience in big data and data science.

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