Lead Data Scientist, Global Places &Services - remote

Title: Lead Data Scientist, Global Places &Services (Remote Work Option)

Location: OR-Beaverton

Job Description:

NIKE, Inc. hace más que equipar a los mejores atletas del mundo. Es un lugar para explorar el potencial, borrar las fronteras y ampliar los límites de lo que se puede ser. La empresa busca personas que puedan crecer, pensar, soñar y crear. Su cultura aumenta al adoptar la diversidad y recompensar la imaginación. La marca busca a los triunfadores, los líderes y los visionarios. En NIKE, Inc. se trata de que cada persona aporte sus habilidades y pasión a un juego desafiante y en constante evolución.

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $119,400.00 in our lowest geographic market to $267,500.00 in our highest geographic market. Actual salary will vary based on a candidate’s location, qualifications, skills and experience.

Information about benefits can be found here.

At Nike’s Global Places &Services (GPS) organization, we craft and curate a portfolio of locations that work to spark the creativity and potential of all employees and our brand. Global Places and Services is responsible for leading the transformation of Nike’s workplace by making location a competitive advantage through a relentless focus on physical space, services, and portfolio solutions.

The Intelligence team within GPS will leverage data systems, research, analytics and key partnerships across Nike and industry to drive optimization of the real estate portfolio as well as efficiency and effectiveness across our service delivery. Our intelligence and research methodologies are an integral and foundational part of our global delivery model, helping to activate GPS’s key capabilities in location, built environments, events, sport, nutrition and mobility globally.

WHO WE ARE LOOKING FOR

We are looking for an outstanding Lead Data Scientist with a strong analytical background to create capabilities and provide insights that improve how we think about physicality in a global workplace ecosystem, elevate user behaviors and patterns within it, and drive methodological innovation. This person is both a leader and collaborator able to function in a high speed and intellectually curious research environment, working within our Research and Insights team in GPS Intelligence. In this role you will transform raw data –blended from multiple global data sources –into meaningful and actionable insights tied to optimizing NIKE’s global physical portfolio.

WHAT YOU WILL WORK ON

If this is you, you’ll be collaborating with multi-functional teams in a global environment. Your days and weeks will consistently look different, based on the diversity of your project portfolio. You will be responsible for designing and implementing innovative ways of analyzing physical assets and the effectiveness of the real estate portfolio. Your workload will include analyses tied to utilization patterning, space demand planning, team adjacency modeling, and scenario modeling. This will include driving a global research program tied to Global Places and supporting team priority initiatives.

Additionally, you will effectively communicate and present findings to various internal and external audiences through data storytelling enabling action and informed decision making across the organization. As a Research &Insights team member you will foster and influence new ways of critical thinking and visioning to build and initiate research crafted to influence real estate portfolio decisions across the globe.

WHO YOU WILL WORK WITH

• This role is a key contributor to the Research &Insights team within GPS Intelligence. You will work closely with a team of data engineers, data product managers, data analysts, and other researchers daily.
• This role will help manage both internal and external partnerships and vendor related to data privacy and legal, data management, configuration, and access.
• This role will be responsible for managing and maintaining relationships with the GPS Places team who are responsible for design solutions and standards, builds, and global real estate decisions as well as Strategic Occupancy Planning and Portfolio Planning team members across GPS.

  WHAT YOU BRING

  • Advanced quantitative degree- (PhD preferred in Statistics, Mathematics, Quantitative Social Science, Engineering, Economics or related field) or combination of relevant education, experience and training
  • 2+ years of industry experience as a data scientist
  • Proficiency in common coding languages (Python, SQL, R)
  • Experience working with communication and location network data
  • Experience working with financial data
  • Experience in machine learning, network modeling, statistical modeling, and algorithm development
  • Demonstrated expertise in using Tableau for insight sharing to broad audiences.
  • Proven track record of working multi-functionally and critically evaluating sophisticated data from multiple perspectives, including questioning assumptions and validity.
  • Excellent written and verbal communication skills, including ability to develop and deliver presentations.
  • Comfortable owning projects end-to-end, including data ingestion, preprocessing, and cleaning, to developing, deploying predictive models, and extracting actionable insights.

    NIKE, Inc. es una empresa en crecimiento que busca miembros para su equipo que crezcan con ella. Nike ofrece un paquete de generosas retribuciones, un entorno de trabajo informal, una cultura diversa e inclusiva y un ambiente energizante para el desarrollo profesional. Sin importar la ubicación o el puesto, cada empleado de Nike tiene una sola misión: brindar inspiración e innovación a cada atleta* en el mundo.

    NIKE, Inc. se compromete a emplear personal diverso. Los solicitantes calificados recibirán la debida consideración independientemente de su raza, color, religión, sexo, nacionalidad, edad, orientación sexual, identidad de género, expresión de género, condición de veterano de guerra o discapacidad.