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Data Scientist

C.A.T.

Data Scientist

Team up with us!

The Data Scientist is responsible for analyzing data and conducting important research to drive business decisions based on strategic goals for the organization. The Data Scientist acts as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value. Work is somewhat complex in nature and performed under general supervision, requiring independent judgement.

Do you have what it takes?

What you'll do:

  • Collaborate with cross-functional teams and key stakeholders to identify opportunities for data-driven solutions.
  • Conduct complex data analysis to identify and interpret trends, patterns, potential problems and opportunities to help inform and influence business decisions and drive value for the organization.
  • Recommend, visualize and communicate data driven solutions and insights to key stakeholders in a clear and compelling manner.
  • Identify data sources; collect structured and unstructured datasets and variables; build large, complex data sets to mine.
  • Manipulate raw data into aggregate tables for front-end usage.
  • Conduct data error analysis to improve models; clean and validate data for uniformity and accuracy.
  • Develop working knowledge of relevant data, information, and application architecture to influence decisions.
  • Understand key business priorities, marketing goals, customer segments, decision drivers and hypotheses, to create performance metrics.
  • Assist with developing, scaling and refining data modeling processes, analytical procedures, system workflows, data management etc.
  • Provide consultation regarding automation of data collection, data enhancement, and/or data storage processes.

What you'll need:

  • Bachelor's degree in Data Science, Computer Science, Business Analytics or other business-relevant discipline from a four-year college or university; OR 4 additional years of relevant data and analytics or technical experience can be substituted in lieu of a degree in addition to the minimum years of work experience.
  • 2 years of experience in data and analytics, technical, or business-relevant function; OR if advanced degree in a STEM discipline, up to 2 years' experience in data and analytics, technical, or business relevant function.
  • Entry level to intermediate knowledge of business intelligence platforms, data management platforms, or SQL-based languages (Tableau, NoSQL, TSQL, R, Python, or related).
  • Experience managing internal metrics, data, and business intelligence strategies.
  • Proficient in using analytical tools and instruments.
  • Ability to identify patterns in data.
  • Entry level to intermediate critical thinking and analytical skills for problem-solving.
  • Excellent presentation, communication and collaboration skills.
  • Entry level to intermediate level business acumen skills.

Why work with us?

  • We like to take care of business and have fun doing it!
  • We offer health, dental, vision, life, and more as a comprehensive benefits package.
  • Don't you want to work with awesome people?

Important information:

While performing the duties of this job, the employee is regularly required to sit, talk or hear. The employee is occasionally required to stand and walk.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The noise level in the work environment is usually quiet.

Required travel up to 10%.

The job description is subject to change by the employer as the needs of the employer and requirements of the job change.

EEO/AA

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Vacancy posted 3 days ago
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