Nike Converse, Senior Manager Consumer Sciences in Boston, Massachusetts
What you bring to Converse:
7-8 yrs. of experience in sophisticated analytics,predictive modeling, and working with large datasets
Master’s or bachelor’s degree in engineering, computerscience, statistics, mathematics, economics, financial engineering, or anyother quantitative subject area
Strong Hands-on Programming Skills in Python, Pandas,Sci-kit Learn, Matplotlib
Expertise in customer analytics & data science in alarge consumer brand - Customer Segmentation, Customer Lifetime Value,Churn, Response, Campaign Optimization, Price Sensitivity Models
Knowledge and experience in statistical &predictive analytics tools and algorithms such as GLM/Regression, RandomForest, Boosting, KNN, K-Means, text mining, social network analysis.
Experience with distributed data/computing & cloudsbased platforms: Amazon S3, SageMaker, Map/Reduce, Hadoop, Hive, Spark andUnix
Experience working with large and relational databases.Proficiency in SQL, Snowflake
Positive and driven problem solver with a passion fordata exploration to find measurable insights
Collaborative standout colleague with excellentrelationship-building skills
Superb interpersonal skills and ability to simplifyanalytical insights and present in front of leadership and internalpartners
Leading with Digital, Converse is setting a bold strategic plan to enable and encourage consumer self-expression by positioning converse.com as the first and best source for authentic Converse products and experiences. Converse is looking for a highly hardworking Data Science Professional with expertise in Advanced Consumer Analytics, Customer Segmentation, Customer Lifetime Value, Churn, Response, Pricing Predictive Models, and Campaign Optimization & Measurement. We want someone who can be a player/mentor in our Consumer Direct Sciences (CDS) function, collaborating with our global partners.
Lead, develop and support the organization’sunderstanding of the consumer through sophisticated and predictiveanalytics/data science
Work with leaders across Digital / Direct team todefine requirements & priorities
Partner with internal stakeholders to evaluate businessquestions and propose analytical / data solutions that deliver meaningfulinsights on customer behavior
Ensure consistency and reliability in data, metrics,analytics & insights
Collaborate with the internal engineering team on dataand reporting requirements to build data/analytics capabilities andreporting
Ability to extract insightful stories fromsophisticated analysis/models and deliver impactful presentations in front ofsenior leadership
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, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.
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