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EPAM Systems - remotehey
EPAM Systems

Data Science Consultant

mexico / Posted
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EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

 

 

We are actively seeking a Data Science Consultant to further enhance our remote team. This position is ideal for professionals passionate about leveraging data to solve business problems and skilled in overseeing end-to-end project delivery. As a Data Science Consultant, you will play a vital role in transforming complex datasets into actionable insights that shape strategic decisions.

 

Responsibilities

  • Lead the creation, development, and implementation of ML/AI solutions, offering both technical expertise and strategic guidance
  • Design and deploy responsible AI systems, tailoring solutions to client requirements with precise planning and robust evaluation strategies
  • Champion AI adoption across various organizational units, driving innovation through new products and solutions
  • Analyze challenges faced by clients and demonstrate how ML/AI solutions address key issues effectively
  • Collaborate with data scientists and engineers, mentoring and strengthening their capabilities
  • Monitor advancements in ML/AI technology, encouraging innovative practices aligned with regulatory standards
  • Facilitate seamless project transitions through effective collaboration with business, legal, and technical stakeholders
  • Develop ML solutions while managing project scopes and overseeing team performance from initial sales to delivery stages
  • Build and nurture client relationships to ensure satisfaction and consistent communication
  • Engage senior-level client stakeholders to encourage AI integration across their organizations
  • Support sales and pre-sales activities by evaluating data opportunities, responding to RFPs, and preparing proposal presentations

Requirements

  • 8+ years of experience in IT with a strong background in Data Science
  • 3+ years in leadership roles, including positions such as Lead, Manager, or Architect, within Agile or hybrid environments
  • Extensive experience managing teams of 20 or more members
  • Participation in a minimum of 5 full project cycles or significant product launches
  • Comprehensive leadership experience in Data Analytics, Machine Learning, and AI
  • Proven ability in designing and deploying ML/AI solutions
  • Knowledge of Machine Learning, encompassing deep learning, statistical methods, and various ML models
  • Capability to engage and influence senior stakeholders for project funding or support
  • Strong communication skills to simplify complex technical ideas for diverse audiences
  • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
  • Flexibility to translate complex business needs into actionable ML/AI implementations
  • Familiarity with regulated industries or regulatory technology applications
  • Background in cloud platforms (AWS, Azure, or GCP)
  • Advanced proficiency in English to ensure clear communication and relationship management

Nice to have

  • Showcase of additional certifications in Data Science or Machine Learning
  • Familiarity with public speaking or conducting workshops focused on AI advancements

 

We offer

  • 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