Only those lawfully authorized to work in the designated country associated with the position will be considered.
Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.
Data Scientist I Period: 04/03/2023 to 10/31/2024 Location: Waterloo, IA 50704
Description:
MAJOR PURPOSE: Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning. Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information. Validates findings using experimental and iterative approaches. This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models. Output is reviewed by higher-level Data Scientists or Analytics Manager for execution.
MAJOR DUTIES: Description of the major duties performed in this job. • Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business. • Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner. • Supports the communication of derived insights, especially through appropriate visualization techniques. • Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data. • Stays abreast of the latest appropriate analytical techniques and recommends these where needed. Explains implementation and usage in business terms. • Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business.
QUALIFICATIONS: Competencies, technical skills, formal education and relevant work experience critical for successful individual performance of essential functions.
Technical Skills & Knowledge: Specialized skills, knowledge and abilities needed to perform the essential functions of the job. • Business process knowledge of assigned area(s) and/or function(s). - Has a good understanding of the principles and can independently use the knowledge. • Knowledge of advanced data gathering and analysis techniques, including statistical analysis. - Has a good understanding of the principles and can independently use the knowledge. • Knowledge of appropriate industry - Has a good understanding of the principles and can independently use the knowledge. • Good interpersonal, negotiation and conflict resolution skills. - Yes • Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation. - Has a good understanding of the principles and can independently use the knowledge. • Quantitative analytical skills - Has a good understanding of the principles and can independently use the knowledge.
Education: Formal education or training required to perform the essential functions of the job. Includes degrees, certifications, licenses and/or registration requirements. • Degree in a Math discipline or equivalent experience. - University Degree (4 years or equivalent) • Degree in an Economics discipline or equivalent experience. - University Degree (4 years or equivalent) • Degree in a Statistics discipline or equivalent experience. - University Degree (4 years or equivalent)
Relevant Work Experiences: Type and amount of experience necessary to perform the essential functions of the job. May include specific roles and/or an understanding of a particular function, organization, industry or product line. • Internal or external industry specific experience in relevant discipline. - 1 - 3 years • Data analytics experience. - 1 - 3 years • Background or proven experience in mining data for analytics insights. - 1 - 3 years • Good exposure to enterprise statistical tools like SAS, Statistica, SPSS or SAS E Miner - 1 - 3 years Position Title Product Support Specialist
Specific Position Requirements
Tableau, Excel, SAS MDAW experience 1-3+ years Reliability analysis and Databricks experience desired
 
Benefits: For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances. If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department. Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
