Nike Personalization Scientist in San Francisco, California

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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Consumer conversations and relationships fuel the work of Nike Marketing. It’s the fuel that has built one of the most recognizable brands in the world. Nike Marketing captures the science, art and emotion of Nike's innovations and connects them with the hearts, minds and souls of athletes. The pros in brand strategy, advertising, digital engagement, product presentation, consumer analytics and more foster consumer connections via channels ranging from Nike Stores to social media. They approach marketing in a way that only Nike can: taking risks, pushing boundaries and inspiring consumers to be champions.

Description

Nike does more than outfit the world's best athletes. We are a place to explore potential, obliterate boundaries, and push out the edges of what can be.

Based in Beaverton, Oregon , the Personalization Scientist will join an established team, which sits within Nike’s Global Consumer Knowledge Center of Excellence is a fast growing team responsible for building and deepening a holistic view of Nike’s consumers through data and analytics, and applying those insights to personalize and optimize incredible digital services and experiences for our consumers.

We are looking for scientists with tech industry experience to help build our core data products and machine learning and statistical modeling processes. We want someone who loves modeling and writing code, someone who likes to dive in, solve problems, and create world class experiences for Nike consumers. This is a young and growing team, so the ideal candidate is ready for a leadership role in a collaborative environment, helping to drive team excellence and defining and socializing best practices for the team. We are deeply integrated with our partner data and services engineering teams, and collaborate extensively with all of Nike’s digital product teams to help drive design and then deliver personalized experiences. You should be ready for partnership with teams across the company and excited about green spaces in which to make your mark.

A candidate should be experienced in state of the art statistical modeling or machine learning algorithms, but also be able to think in terms of the compute processes, distributed data, and coupling between systems.

We’re looking for scientists who thrive in a dynamic setting. Communication and leadership skills are key. You’ll get to work with scientists with a breadth of experiences across industry and academia, including in machine learning, statistics, neuroscience, and physics. You’ll be expected to go deep and learn with them, as a peer and as a team.

Key responsibilities will include some of:

  • Develop models that drive personalization ofdigital experiences for Nike consumers – e.g. suggesting products with anaesthetic match to products a consumer has shown interest in through computervision, consumer behavior patterns, or some new approach you devise.

  • Develop models that help us understand anddescribe our customers – e.g. learning how to extract deep interests andtendencies from event streams.

  • Develop production code for both batch and realtime models in collaboration with our data and service engineering teams.

  • Manage an experimentation portfolio thatvalidates and feeds back into our core customer understandings.

  • Build processes to support fast, iterativeexperimentation, both for model creation and for customer-facing products.

  • Define best practices for scientific codedevelopment and deployment.

Qualifications

  • B.S. in CS, statistics, applied math, physics orother quantitative discipline

  • Advanced degree (Masters or PhD) preferred

Experience

  • A minimum of 2 years' of experience in a role developing predictiveor explanatory models and/or experimentation processes

  • Experience working with data and analytics

  • Experience with moderate to large-scale datasets (>100GB) preferred

  • Experience with neural nets and deeparchitectures preferred

Required Skills

  • Core mathematical ability to understand, utilizeand innovate on state-of-the art machine learning algorithms and/or statisticalmodeling

  • Expertise in at least one production-qualityprogramming languages (e.g. java, python, scala, C++)

  • Exceptional communication skills

  • Expertise with Hadoop ecosystem (especially spark)is a plus

  • Expertise with ETL processes is a plus

Qualifications

  • B.S. in CS, statistics, applied math, physics orother quantitative discipline

  • Advanced degree (Masters or PhD) preferred

Experience

  • A minimum of 2 years' of experience in a role developing predictiveor explanatory models and/or experimentation processes

  • Experience working with data and analytics

  • Experience with moderate to large-scale datasets (>100GB) preferred

  • Experience with neural nets and deeparchitectures preferred

Required Skills

  • Core mathematical ability to understand, utilizeand innovate on state-of-the art machine learning algorithms and/or statisticalmodeling

  • Expertise in at least one production-qualityprogramming languages (e.g. java, python, scala, C++)

  • Exceptional communication skills

  • Expertise with Hadoop ecosystem (especially spark)is a plus

  • Expertise with ETL processes is a plus

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 ID: 00398319

Location: United States-California-San Francisco

Job Category: Marketing, Marketing & Communications