Responsibilities
Kforce has a client that is seeking a Data Scientist in Beaverton, OR. Responsibilities:
- Data Scientist will 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 using Tableau 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
- As a Data Scientist, you will 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
Requirements
- Bachelors degree in Computer Science, Statistics, Mathematics, Business Administration, or related field and minimum of 1-4 years of directly relevant work experience (PhD or Masters + 0-3 years of experience preferred)
- Experience in developing and maintaining advanced and automated data cleansing and auditing tools
- Experience with data visualization tools like Tableau or Power BI
- Knowledge of machine learning algorithms and statistical modeling
- Proficiency in programming languages such as Python, R, or SQL
- Strong Excel and math skills (advanced academic level)
- Strong analytical skills and attention to detail
- Excellent communication and teamwork skills
- Effectively communicate with global teammates, work cross-culturally, and value differences daily
- An inclusive mindset and team player mentality while also bringing a detail-oriented approach and thrive in problem solving environments
- Bring a curious mindset, proactive approach, and a critical focus on strategic sourcing
- Strong team player and ability to work with other teams
- Track-record of demonstrating in entrepreneurial spirit in fast-paced environment
- Project management abilities
- Ability to work with large datasets and databases
- Ability to comb through large amounts of data, analyze, draw conclusions, and present a coherent viewpoint
- Ability to deal with ambiguity, creative problem solver & want to get their -hands dirty-
- Able to think on their feet and articulate problems well
Optional Requirements
- Experience in Tableau or other data visualization tool
- Experience in AWS RDS or MySQL usage
- Experience in Databricks usage
- Experience in developing PowerPoint presentations
- Experience in using Confluence and Jira
- Experience in developing pipelines for data ingestion
- Experience in using GitHub and CoPilot
- Experience in navigating a complex, matrix corporate structure
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.