WHO WE ARE LOOKING FOR
We are looking for a Data Scientist to join the Advanced Analytics team within Commercial Analytics. This role will be part of a multi-functional agile squad responsible for using predictive analytics to forecast consumer demand, enhance decision making and drive to action against our strategic priorities.
The candidate needs to be a dependable teammate with hands-on analytics experience, drive, and curiosity. While you are grounded in good working knowledge of data science methods, you know how to rise above the numbers and explain the essential insights to users at all levels. You ask good questions, are continually learning, and can effectively interact with and influence your colleagues and partners.
WHAT YOU WILL WORK ON
If this is you, you will be part of an Advanced Analytics squad. We deliver scalable models to power digital demand sensing and enable critical investment decisions. Specifically, you will:
- Collaborate with other squad members to develop new sophisticated algorithms and improve existing approaches based on statistical/econometric methods, machine learning techniques and big data solutions to forecast consumer demand and determine optimal level of investment in various stages of the supply chain.
- Assist in the design of analytics solutions and the identification of the best method for a problem based on business requirements and constraints.
- Apply analytics methods to acquire, explore, cleanse, and fuse data from different sources.
- Contribute to building, scoring, deploying, monitoring, updating and promoting Nike’s central forecasting platform.
- Facilitate the planning, scheduling and value measurement of the work to meet timeline targets and success criteria.
- Support the adoption of analytic products through effective storytelling and collaboration with key partners.
- Participate in a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community.
WHO YOU WILL WORK WITH
You will work with the Director of Data Science while partner on daily basis with fellow data scientists, data analysts, engineers and product owner on your squad. You will collaborate across the broader organization with business teams in Demand and Supply Management as well as other data, analytics and technology functions.
WHAT YOU BRING
- Advanced quantitative degree (Statistics, Mathematics, Economics, Computer Science or related field) and at least 3 years of relevant industry experience or Bachelor’s degree and at least 5 years of relevant professional experience.
- Demonstrated understanding of market demand and supply interactions, data structures, data science methods, and machine learning algorithms.
- Solid skills in programming languages (particularly Python and SQL) and ability to apply them for data acquisition, preprocessing, modeling and monitoring.
- Familiarity with common data science/analytics software tools (e.g. Jupyter Notebook, SQL consoles, Hadoop, Spark) and cloud computing platforms (e.g. Amazon Web Services).
- Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale and familiarity with mainstream packages relevant to managing all stages of Data Science/Analytics lifecycle.
- Familiarity with the Agile development process and Ability to work cross functionally and evaluate complex business information from multiple perspectives, including questioning assumptions and validity.
- Excellent written and verbal communication skills, including ability to develop and deliver presentation.