Job Title: Data Scientist
Location: Iowa, USA, 50322
Shift Details: 1st Shift
Pay Range: 60-64/hr
Major Purpose
Job Description:
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
Technical Skills & Knowledge
individual performance of essential functions.
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
Specific Position Requirements
Most work could be remote, but there will be times where coming in to the office will be required.
This position will be responsible for supporting our Quality and Reliability teams by collecting and compiling our warranty and production data to produce actionable visualizations like run charts and pareto charts. I'm looking for someone with knowledge of Databricks, AWS, Python, SQL, R,, SQL Database, and data visualization tools eg. Power BI and/or Tableau