Sr. Data Scientist

Beaverton, OR - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Manager Notes:

This position can be 100% remote but theyre looking for top notch talent.
Ideally someone with previous Nike experience preferred.
Must have extensive experience with; SQL Python (standard libraries) Apache Spark AWS Databricks)

Project Description

The 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 we dont 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 us gain a comprehensive view of marketplace performance. This project is essential for supporting business decision-making and optimizing our marketplace strategy.

Responsibilities

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.

Requirements

Must have 8 YOE minimum as a senior level data scientist (or similar) from large scale enterprise level environments.
Must be proficient/expert level in; SQL Python Apache Spark AWS and Databricks

Manager Notes: This position can be 100% remote but theyre looking for top notch talent. Ideally someone with previous Nike experience preferred. Must have extensive experience with; SQL Python (standard libraries) Apache Spark AWS Databricks) Project Description The Marketplace Coverage...

Manager Notes:

This position can be 100% remote but theyre looking for top notch talent.
Ideally someone with previous Nike experience preferred.
Must have extensive experience with; SQL Python (standard libraries) Apache Spark AWS Databricks)

Project Description

Responsibilities

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.

Requirements

Must have 8 YOE minimum as a senior level data scientist (or similar) from large scale enterprise level environments.
Must be proficient/expert level in; SQL Python Apache Spark AWS and Databricks