Data Scientist

Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate influences. Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis based on business needs and required or available data elements. May provide consultation to users and lead cross-functional teams to address business issues. May directly produce datasets and reports for analysis using system reporting tools. 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. Minimum 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. Requirements: Program knowledge required:

SQL, Python, Spark, Tableau, Data Bricks Strong attention to detail and ability to maintain high standards of data quality. Excellent written and verbal communication skills. Ability to handle multiple tasks simultaneously and prioritize effectively. The target hiring compensation range for this role is $65.40 to $72.67 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

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