Remotehey

Work anywhere, Live anywhere

EPAM Systems - remotehey
EPAM Systems

Data Science Consultant

mexico / Posted
APPLY

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 in search of a Data Science Consultant to enhance our remote team. This position suits individuals eager to utilize data to solve business challenges and skilled in managing projects from inception to completion. As a Data Science Consultant, you will play a key role in converting data into actionable insights that inform strategic decisions.

 

Responsibilities

  • Lead the development and implementation of ML/AI solutions while offering both technical leadership and strategic direction
  • Design responsible AI systems tailored to client needs through careful planning and evaluation methods
  • Champion AI adoption across organizational units, fostering the creation of new products and solutions
  • Analyze business challenges faced by clients and demonstrate how ML/AI can effectively address them
  • Collaborate with data scientists and engineers while mentoring teams to enhance their expertise
  • Monitor advancements in ML/AI technology and recommend innovative practices that align with regulations
  • Facilitate coordination among business, legal, and technical stakeholders to ensure smooth project execution
  • Develop ML models, oversee scopes of work, and manage teams from initial sales to project delivery
  • Build and maintain strong client relationships to ensure satisfaction and effective communication
  • Engage senior client stakeholders to advocate for organization-wide AI adoption
  • Support sales efforts by assessing data opportunities, preparing responses to RFPs, and creating proposals

Requirements

  • A minimum of 8 years of experience in IT complemented by a substantial background in Data Science
  • Over 3 years in leadership positions such as Lead, Manager, or Architect within Agile or hybrid setups
  • Experience managing teams of 20 or more members
  • Participation in several end-to-end project cycles or major product launches
  • Leadership expertise in Data Analytics, Machine Learning, and AI
  • Proven qualifications in designing and deploying ML/AI solutions
  • Knowledge of Machine Learning techniques, including deep learning, statistics, and model types
  • Capability to engage senior stakeholders to secure project resources or funding
  • Outstanding communication skills for explaining technical concepts to diverse audiences
  • Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow
  • Understanding of translating complex business needs into practical ML/AI solutions
  • Background in regulatory industries or regulatory technology roles
  • Familiarity with cloud platforms such as AWS, Azure, or GCP
  • Advanced proficiency in English for effective collaboration and relationship management

Nice to have

  • Showcase of certifications in Data Science or Machine Learning
  • Competency in public speaking or conducting workshops focused on AI-related subjects

 

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