Data Methods Analyst: Build Tools & Insights

Kiva Design; Olde West Chester (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Kiva Design is seeking a data science professional to develop solutions using data science techniques and statistical methods. The role involves identifying applications, prioritizing projects, and driving data collection and refinement with collaboration across stakeholders and customers.

The position emphasizes training others, collaborating with external experts, and attending conferences/training sessions. All information is kept confidential per EEO guidelines.

Qualifications

• Significant experience with data analysis software such as Python, R, or Matlab.
• Experience solving analytical problems using quantitative approaches.
• Experience with hypothesis testing - develop hypotheses and test them through experiments.
• MS or PhD in Administrative related field from an accredited college or university.

Responsibilities

• Identify potential applications for data science techniques.
• Assist management in setting priorities for near-term projects.
• Drive the collection of new data and refining existing data sources.
• Analyze data using data science and/or statistical methods.
• Collaborate with experts, internal/external stakeholders, software programmers, and customers to develop tools meeting specifications.
• Issue reports detailing tool development and QA actions, final results.

Skills

Analytical problem solving

Hypothesis testing

Education

BS Admin or design-related field

MS in engineering or Data analytics

BS in engineering or science field

MS in engineering or science field

Tools

Python

R

Matlab

Job description

Kiva Design is seeking a data science professional to develop solutions using data science techniques and statistical methods. The role involves identifying applications, prioritizing projects, and driving data collection and refinement with collaboration across stakeholders and customers.

The position emphasizes training others, collaborating with external experts, and attending conferences/training sessions. All information is kept confidential per EEO guidelines.