Nike Senior Research Data Scientist in New York

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, 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.

Description

Nike's Member Data Science is a growing organization responsible for building and deepening a holistic view of Nike's consumers through data and analytics and applying those insights to inform the development and growth of incredible digital services, content and experiences for our consumers.

We are looking for a research data scientist with tech industry experience to work in our research group and help improve our core predictive models. You should have a proven track record of completing research, preferably in predictive modeling. Specifically, we want someone who has an excellent knowledge of statistics and machine learning methodology (preferably at the Ph. D. level). Additionally, you must love writing code and have exceptional R or Python programming skills.

We’re looking for someone who thrives in a dynamic setting and can work as part of a team. You’ll be working collaboratively with other data scientists. Communication skills are key for this position and you’ll be expected to clearly explain your methodology and findings to other data scientists, engineers, and team leadership. You’ll get to work with scientists with a breadth of experiences across industry and academia, including in machine learning, statistics, marketing, and finance. You’ll be expected to go deep and learn with them, as a peer.

Job Duties and Responsibilities:

• Research and develop accurate models that predict customer behavior and customer lifetime value using Bayesian, frequentist, and machine learning methodologies.

• Collaborate with other data scientists to solve problems necessary to address key business questions.

• Build models that elucidate the causal effects of marketing on customer lifetime value and customer behavior.

• Productionize predictive models for use in a containerized environment.

Qualifications

• 1+ years post grad experience developing predictive or explanatory models and/or experimentation processes

• Strong demonstrated ability to do research and develop mathematical models

• Stellar programming ability in Python or R

• Deep understanding of statistics, Bayesian methods, and machine learning methodology including tree methods, and regression.

• Experience with empirical Bayes a strong plus

• Experience with causal inference is a plus

• Expertise with at least one production-quality programming language is desirable (e.g. C/C++)

• Exceptional communication abilities

• Experience working with real-world data and analytics

• Experience with customer lifetime value and segmentation algorithms a plus

• Experience working in a production environment including best practice tools (e.g. cloud architecture, version control)

Education:

• Ph. D. in applied mathematics, statistics, or machine learning or equivalent research experience in industry.

Qualifications • 1+ years post grad experience developing predictive or explanatory models and/or experimentation processes

• Strong demonstrated ability to do research and develop mathematical models

• Stellar programming ability in Python or R

• Deep understanding of statistics, Bayesian methods, and machine learning methodology including tree methods, and regression.

• Experience with empirical Bayes a strong plus

• Experience with causal inference is a plus

• Expertise with at least one production-quality programming language is desirable (e.g. C/C++)

• Exceptional communication abilities

• Experience working with real-world data and analytics

• Experience with customer lifetime value and segmentation algorithms a plus

• Experience working in a production environment including best practice tools (e.g. cloud architecture, version control)

Education:

• Ph. D. in applied mathematics, statistics, or machine learning or equivalent research experience in industry.

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: 00393786

Location: United States-New York-

Job Category: Marketing, Marketing & Communications