Nike, Inc.:
Data Scientist, Personalization Job in Portland, VT
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Portland, VT
Full-time | Marketing
About the job
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.
Nike, Inc.'s storytellers, Marketing and Communication sets the brand tone. A creative force of specialists tell Nike’s stories of innovation and sport through advertising, brand strategy, digital engagement and product presentation. Using channels ranging from retail stores to social media, Marketing & Communication teams connect the science and art of Nike innovations to the hearts and minds of athletes around the world.
DescriptionNike 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.
The Personalization team in 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:Develop models that drive personalization of digital experiences for Nike consumers – e.g. suggesting products with an aesthetic match to products a consumer has shown interest in through computer vision, consumer behavior patterns, or some new approach you devise.
Develop models that help us understand and describe our customers – e.g. learning how to extract deep interests and tendencies from event streams.
Develop production code for both batch and real time models in collaboration with our data and service engineering teams.
Manage an experimentation portfolio that validates and feeds back into our core customer understandings.
Build processes to support fast, iterative experimentation, both for model creation and for customer-facing products.
Define best practices for scientific code development and deployment.
QualificationsEducation:B.S. in CS, statistics, applied math, physics or other quantitative discipline
Advanced degree (Masters or PhD) preferred
Experience:2 - 7 years of experience in a role developing predictive or explanatory models and/or experimentation processes
Experience working with data and analytics
Experience with moderate to large-scale data sets (>100GB) preferred
Experience with neural nets and deep architectures preferred
Required Skills:Core mathematical ability to understand, utilize and innovate on state-of-the art machine learning algorithms and/or statistical modeling
Expertise in at least one production-quality programming 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 00398317
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.
Nike, Inc.'s storytellers, Marketing and Communication sets the brand tone. A creative force of specialists tell Nike’s stories of innovation and sport through advertising, brand strategy, digital engagement and product presentation. Using channels ranging from retail stores to social media, Marketing & Communication teams connect the science and art of Nike innovations to the hearts and minds of athletes around the world.
DescriptionNike 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.
The Personalization team in 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:Develop models that drive personalization of digital experiences for Nike consumers – e.g. suggesting products with an aesthetic match to products a consumer has shown interest in through computer vision, consumer behavior patterns, or some new approach you devise.
Develop models that help us understand and describe our customers – e.g. learning how to extract deep interests and tendencies from event streams.
Develop production code for both batch and real time models in collaboration with our data and service engineering teams.
Manage an experimentation portfolio that validates and feeds back into our core customer understandings.
Build processes to support fast, iterative experimentation, both for model creation and for customer-facing products.
Define best practices for scientific code development and deployment.
QualificationsEducation:B.S. in CS, statistics, applied math, physics or other quantitative discipline
Advanced degree (Masters or PhD) preferred
Experience:2 - 7 years of experience in a role developing predictive or explanatory models and/or experimentation processes
Experience working with data and analytics
Experience with moderate to large-scale data sets (>100GB) preferred
Experience with neural nets and deep architectures preferred
Required Skills:Core mathematical ability to understand, utilize and innovate on state-of-the art machine learning algorithms and/or statistical modeling
Expertise in at least one production-quality programming 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 00398317