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Nike
Beaverton, OR | Full Time
$135k-165k (estimate)
8 Months Ago
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BizTek People, Inc. | APA International Placement Consultants
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Nike
Beaverton, OR | Full Time|Part Time
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1 Month Ago
LEAD DATA SCIENTIST
Nike Beaverton, OR
$135k-165k (estimate)
Full Time | Retail 8 Months Ago
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Nike is Hiring a Remote LEAD DATA SCIENTIST

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

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

The annual base salary for this position ranges from $112,600.00 in our lowest geographic market to $251,800.00 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.

The NIKE, Inc. Supply Chain team is the engine that propels product around the world. Supply Chain experts ensure that every year, 1.4 billion units of footwear, apparel and equipment arrive at the right place, at the right time. The complex process involves more than 70 distribution centers, a network of thousands of accounts, and more than 100,000 retail stores around the world. Supply Chain analytics professionals constantly push for ways to make Nike’s supply chain faster, more efficient, and more responsive to Nike’s always-changing consumer needs.

Within North America Digital Marketplace Operations in particular, the supply chain team is building and operating an analytics driven regional distribution network to ensure Nike delivers an elevated experience to its digital consumers. Supporting the highest growth area of the business provides new challenges every day, but it also provides massive opportunity for innovation and personal growth.

WHO WE ARE LOOKING FOR

We need an experienced Data Scientist to join our Digital planning and analytics team. You are an extraordinary, driven teammate with a curiosity for all things data, and while you rely on data to prove your point, you love to think creatively to solve problems. You build novel models and algorithms to solve business problems, deliver insights, and drive recommendations. You thrive in an entrepreneurial environment, and you are excited by the challenge of building something from the ground up. You ask questions, are continually learning as well as finding opportunities to share knowledge with others. You are a strong communicator who is endlessly curious, takes pride in hard work and is committed to rapidly advancing your knowledge and expertise.

WHAT YOU WILL WORK ON

As a Data Scientist, you will work with the Digital Supply Chain team to ensure Nike delivers an elevated consumer experience, using data. You will build demand forecasts for our regional distribution network to inform capacity planning, develop models that optimize inventory placement, simulate SKU velocities to plan new facilities against capacity and inventory constraints, and transform ad hoc analyses into scalable solutions and tools that can provide repeatable insights for the business. You will share your results and recommendations with a broad and senior audience, inspiring change in the organization by making analytics part of day-to-day business strategy. You’ll also track model accuracy, ensuring model relevance and reliability.

WHO YOU WILL WORK WITH

As a member of Nike’s North America Digital Marketplace Operations team, you will work alongside experienced analytics and supply chain professionals passionate about driving operational efficiency and better serving athletes* digitally. You will be reporting into the North America Digital Marketplace Operations Analytics leader, liaising closely with business strategy, Marketplace Operations, and Logistics (DC & Transportation) teams as well as product squads consisting of senior data scientists and engineers. You will collaborate with other data scientists across teams to problem solve and share best practices.

WHAT YOU BRING

  • 3 years of relevant professional experience.
  • Strong ability to solve complex analytical problems and take a new perspective on existing solutions.
  • Strong understanding of common coding languages (Python, SQL, R) with demonstrated ability to learn new skills or apply skills in new environments.
  • Strong quantitative and analytics background, with experience in statistical modeling, and visualization. Exposure to or experience in data engineering preferred.
  • Deep understanding of solution and technical design.
  • Demonstrated ability to work well with internal and external customers.
  • Strong collaboration skills with a demonstrated ability of working well within a team.
  • Bachelor’s degree in Mathematics, Statistics, or quantitative field; or equivalent combination of education and experience.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Retail

SALARY

$135k-165k (estimate)

POST DATE

08/30/2023

EXPIRATION DATE

05/21/2024

WEBSITE

nike.com

HEADQUARTERS

KISSIMMEE, FL

SIZE

>50,000

FOUNDED

1964

TYPE

Public

CEO

HEATHER FARROW

REVENUE

$10B - $50B

INDUSTRY

Retail

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Nike designs, manufactures and sells footwear, apparel, sports equipment and accessories.

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The following is the career advancement route for LEAD DATA SCIENTIST positions, which can be used as a reference in future career path planning. As a LEAD DATA SCIENTIST, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary LEAD DATA SCIENTIST. You can explore the career advancement for a LEAD DATA SCIENTIST below and select your interested title to get hiring information.

If you are interested in becoming a Lead Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Lead Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Lead Data Scientist job description and responsibilities

Ability to apply data science to real-world problems, capable of breaking down complex problems into key components where advanced statistics, data science, and AI can be leveraged

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Understanding of limitations and best practices related to model specification, comparison, selection, and deployment.

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in-depth knowledge of statistics, probability, and machine learning methodologies

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Data scientists combine practical skills like coding and math with the ability for statistical analysis to achieve results.

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Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Lead Data Scientist jobs

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Have strong fundamentals in statistics, optimization, and experimental design

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Step 3: View the best colleges and universities for Lead Data Scientist.

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