Lead Data Scientist

Nike; Oregon, Beaverton (IL, OR); Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Lead Data Scientist to drive innovation through data-driven insights. This role involves developing predictive models, collaborating with multi-disciplinary teams, and communicating complex findings to non-technical stakeholders. The ideal candidate will leverage advanced analytics methods to extract consumer preferences and inform business strategies. With opportunities for telecommuting, this position offers a dynamic environment where your contributions can significantly impact decision-making and marketplace understanding. If you're passionate about data science and eager to make a difference, this is the perfect opportunity for you.

Qualifications

• Master's degree in relevant field and 2 years of experience required.
• Strong proficiency in SQL and Python is essential.

Responsibilities

• Develop predictive models to identify new opportunities through data.
• Collaborate with teams and communicate insights to non-technical audiences.

Skills

SQL

Python

Machine Learning

Data Engineering

Statistical modeling and analysis

A/B Testing

Big Data

Data analysis and manipulations

Education

Master’s degree in Business Analytics

Master’s degree in Data Science

Master’s degree in Mathematics

Master’s degree in Statistics

Tools

Tableau

Databricks

Job description

Lead Data Scientist – NIKE

Location: Beaverton, OR, USA

Develop predictive and descriptive models to identify new opportunities to bring value through data-driven insights and innovation; collaborate with multi-disciplinary teams, deliver work on time against a roadmap, and share their work with non-technical audiences; apply contemporary data science and analytics methods; extract consumer preferences and tendencies from event streams; develop algorithms to target and reward deserving members; predict which consumers and how many are likely to want to purchase upcoming footwear and apparel; create models and simulations to understand marketplace dynamics; design and analyze experiments to illuminate causality; act as a strategic partner to business team members and lead research and analysis to inform business strategy; build stakeholder-facing tools to support decision-making; create work to communicate significant insights to a non-technical audience; collaborate with other data scientists, analysts, and a range of multi-functional business partners. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.

Minimum Requirements

Employer will accept a Master’s degree in Business Analytics and Project Management, Data Science, Mathematics, or Statistics and two (2) years of experience in the job offered or an analyst-related occupation.

Experience must include the following:

1. SQL
2. Python
3. Tableau
4. Databricks
5. Machine Learning
6. Data Engineering
7. Statistical modeling and analysis
8. A/B Testing
9. Big Data
10. Data analysis and manipulations

Apply at www.nike.com/Careers(Job# R-57270)

#LI-DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.