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Data Science Architect

2 months ago

Santa Clara, California, United States AI Technologies LLC. Full time
Job Overview

Job ID: J36993

Specialized Area: Data Science

Job Title: Data Science Architect

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)

Key Responsibilities
  1. Lead the development and implementation of data-driven solutions to drive business growth and innovation.
  2. Collaborate with cross-functional teams to design and deploy data science solutions that meet business needs.
  3. Develop and maintain expertise in data science technologies, including machine learning, deep learning, and natural language processing.
  4. Work with internal stakeholders to identify business opportunities and develop data-driven strategies to drive revenue growth.
  5. Provide technical leadership and guidance to junior data scientists and engineers.
  6. Stay up-to-date with industry trends and emerging technologies to ensure AI Technologies LLC remains competitive.
Requirements
  1. Minimum 10 years of experience in data science or a related field.
  2. Proven track record of delivering business value through data-driven solutions.
  3. Strong technical skills in data science, machine learning, and deep learning.
  4. Excellent communication and leadership skills.
  5. Ability to work in a fast-paced environment and prioritize multiple projects.
Equal Opportunity Employer

AI 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. AI 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.