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Chief Data Scientist

Data Science, Data Analysis, Data Science Commons, Machine Learning
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Sorry, this position is no longer available

We are looking for a Chief Data Scientist to lead our remote team in developing Artificial Intelligence models and data analysis solutions.

As the Chief Data Scientist, you will be responsible for the entire data mining process, including collecting, cleansing, and exploratory analysis. You will also be responsible for proposing solutions and strategies to tackle business challenges and developing Artificial Intelligence models such as Machine Learning. Your expertise in data science will be critical in driving our team's success and delivering value to our clients.

Responsibilities
  • Lead the development of Artificial Intelligence models and data analysis solutions
  • Manage the data mining process, including collecting, cleansing, and exploratory analysis
  • Propose solutions and strategies to tackle business challenges
  • Collaborate with cross-functional teams to deliver value to our clients
  • Stay current with the latest advancements in data science and Artificial Intelligence
  • Mentor and develop junior team members
  • Drive thought leadership in the data science and Artificial Intelligence domains
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
  • Minimum of 7 years of experience in data science, with at least 2 years in a leadership role
  • Proven experience in data analysis, data mining, and exploratory analysis
  • Expertise in Artificial Intelligence models such as Machine Learning, Deep Learning, and Natural Language Processing
  • Strong leadership and team management skills, with the ability to inspire and motivate teams
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences
  • Fluency in both English and Portuguese languages
Nice to have
  • Familiarity with Big Data technologies such as Hadoop, Spark, etc.
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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