Data Scientist 4

job summary:

Data Scientist will design, develop and program 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. They will also build "products" for analysis, interact with product and service teams to identify questions and issues for data analysis and experiments, develop and code software programs, algorithms and automated processes to cleanse; Integrate and evaluate large datasets from multiple disparate sources; Identify meaningful insights from large data and metadata sources, and interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

location: BEAVERTON, Oregon

job type: Contract

salary: $66.60 - 76.60 per hour

work hours: 8am to 4pm

education: No Degree Required



responsibilities:

• 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 decisionsSupport 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.

qualifications:

• Experience level: Experienced
• Minimum 8 years of experience
• Education: No Degree Required

skills:

Python

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

Applications accepted on ongoing basis until filled.