Data Scientist 5Remote

Title: Data Scientist 5

Location: Remote, USA (PST hours required)

Duration: 8 month contract

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’s Marketplace Coverage Correction Factors (MCCF) product is a data science solution designed to estimate total marketplace sales at a detailed product level, particularly in areas where Nike does not have direct access to retailer point-of-sale (POS) data. The MCCF product leverages advanced modeling to “gross up” known sales data from mapped accounts and predict sales for unmapped accounts, helping Nike gain a comprehensive view of marketplace performance. This project is essential for supporting business decision-making and optimizing Nike’s marketplace strategy.

WHAT YOU WILL DO

• Designs, develops and programs methods, processes, and systems to consolidate and analyze structured/unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Builds "products" for Analysis. Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• Lead to the accomplishment of key goals across consumer and commercial analytics functions.
• Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.
• Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
• Validate key performance indicators and build queries to quantitatively measure business performance.
• Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.
• Develop data governance standards from data ingestion to product dictionaries and documentation.
• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax.
• Organize and transform information into comprehensible structures. Use data to predict trends and perform statistical analysis.
• Use data mining to extract information from data sets and identify correlations and patterns.
• Monitor data quality and remove corrupt data.
• Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing.
• Improve existing processes through automation and efficient workflows.
• Build and deliver scalable data and analytics solutions.
• Work independently and take initiative to identify, explore and solve problems.
• Design and build innovative data and analytics solutions to support key decisions.
• Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
• Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.

WHAT YOU WILL BRING

• Typically requires a Bachelors Degree and minimum of 10 years directly relevant experience; experience should include comprehensive experience as a business/process leader or industry expert
• One of the following alternatives may be accepted: PhD or Law + 8 yrs; Masters + 9 yrs; Associates degree + 11 yrs; High School + 12 yrs.

Requirements:

• Must have expert-level SQL skills
• Python (standard libraries)
• Apache Spark
• AWS
• DataBricks