Data Scientist

Urgent Job Opening!!
Job Title: Data Scientist 5
Location: Beaverton, OR (100% Remote)
Duration: 8+ Months (Possible Extension)
Client Domain: Retail
Job type: Contract on W2.

Project Description:

• Client 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 Client* 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 Client Product a comprehensive view of marketplace performance.
• This project is essential for supporting business decision-making and optimizing Client s marketplace strategy.

Job Description:

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

Qualifications:
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.

Note: One of the following alternatives may be accepted: - PhD or Law + 8 yrs; Masters + 9 yrs; Associates degree + 11 yrs; High School + 12 yrs.