Data Scientist 3

4 days ago


Beaverton, United States Sunrise Systems, Inc. Full time
Our client, a leading sporting goods & apparel manufacturing company, is looking for Data Scientist 3 in Beaverton, OR

Job Title: Data Scientist 3
Reference ID:  24-05185
Location: Beaverton, OR
Duration: 6 months
Job Type: Contract (Candidates must be able to work on W2 without VISA sponsorship)

This Assignment is OnSite at WHQ

Top Skills:
  • Advanced AirTable Skills - Fully Understand SPI AirTable Base
  • Tableau Experience a PLUS +
  • MIRO Experience a Plus
  • Must have Marketing / Presentation-building (Keynote)
  • Program Management Skill - Highly Desired
  • Self-Starter that is Results Driven; Outcome Oriented
  • Must Possess Good Interpersonal Skills


Summary:
  • 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.

Description:
  • 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.

 

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