Data Science Leader

5 days ago

Baltimore, Maryland, United States Cloud Analytics Technologies, LLC Full time
Job Overview

Job ID: J37874

Specialized Area: Data Science

Job Title: VP of Data Science/Chief Data Scientist

Location:

Duration: 10 Months

Domain Exposure:

Work Authorization:

Client: To Be Discussed Later

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

This role will serve a dual primary function in leading DS projects and initiatives which are cross collaboration of two or more Parent organization brands as well as ensure world class DS outputs are produced from a data science standpoint.

Serve as the data science expert for operating teams across the organization to help teams make the best data informed decisions that are scientifically sound by deeply understanding trends, advising on best practices for collecting data, and building statistical and machine learning models.

Equal Opportunity Employer
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

Key Responsibilities:

  • Lead DS projects and initiatives across multiple Parent organization brands
  • Ensure world-class DS outputs are produced from a data science standpoint
  • Serve as data science expert for operating teams across the organization
  • Help teams make data-informed decisions that are scientifically sound
  • Advise on best practices for collecting data and building statistical and machine learning models

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