Data Scientist

Nike Global Marketplace Operation

Consumer Fulfillment Insights

Data Scientist (ETW)

The team :

The key function of post purchase fulfillment insights is to enable our ability to monitor, track and analyze the overall strength and health of Nike's post purchase experiences through qualitative and quantitative approaches with the goal of helping Nike business partners diagnose and prioritize friction to improve Post-Purchase experiences across the marketplace, particularly in consumer touchpoints owned by Supply Chain.

Overview :

We are looking for a Data Scientist who has a deep passion for applying advanced analytic approaches, an eagerness to dig into the data, and a vision for turning data streams into a cohesive view of consumer experience and expectation. The ideal candidate excels in a cross-functional teams and thrives in a fast-pace organization where there is an opportunity to meaningfully evolve the way Nike connects with its consumers through Omni channel. In this role, you'll work as an analytics expert using consumer engagement data to identify opportunities to optimize consumers post purchase experience and business strategy in supply chain through understanding consumer behaviors, experience and expectation.

Key responsibilities :

• Supporting cross-functional teams in Supply Chain to identify and measure frictions and opportunities for consumer post purchase experience optimization.
• Providing a comprehensive view of relevant consumer experience and expectation, incorporating a wide variety of signals, data types, and sources.
• Developing comprehensive analytics and data modeling strategies, implementing effective quantitative methodologies, and overseeing the entire lifecycle of advanced analytics and statistical modeling processes.

Qualifications :

Required Skills : LOCAL ONLY-ONSITE 3X A WEEK Statistical modeling, collaborative, python

Basic Qualification : LOCAL ONLY-ONSITE 3X A WEEK Statistical modeling, collaborative, python

Additional Skills : LOCAL ONLY-ONSITE 3X A WEEK Statistical modeling, collaborative, python great team, likely to be very long term, NIKE is an amazing place to work

Background Check : Yes

Notes :

Selling points for candidate : great team, likely to be very long term, NIKE is an amazing place to work

Project Verification Info :

Candidate must be your W2 Employee : No

Exclusive to Apex : Yes

Face to face interview required : No

Candidate must be local : Yes

Candidate must be authorized to work without sponsorship : : No

Interview times set : Yes

Type of project : Assessment / Analysis

Master Job Title : Data Scientist

Branch Code : Portland