Data Science Consultant
Colombia
We are thrilled to invite a skilled Data Science Consultant to expand our remote team. This role perfectly suits individuals passionate about leveraging data to solve business challenges and skilled in managing projects from inception to completion. As a Data Science Consultant, you will play a critical role in converting data into actionable insights that inform strategic decisions.
Responsibilities
- Lead the development and implementation of ML/AI solutions, offering both technical expertise and strategic guidance
- Design responsible AI systems tailored to client requirements through comprehensive planning and evaluation
- Drive AI integration across organizational departments, shaping new products and solutions
- Analyze complex business challenges to demonstrate the value of ML/AI solutions
- Collaborate with data scientists and engineers, mentoring and empowering teams to maximize their capabilities
- Track advancements in ML/AI technologies, promoting innovative strategies compatible with regulatory frameworks
- Coordinate communication among business, legal, and technology stakeholders to ensure seamless transitions
- Develop ML solutions while managing project scopes and overseeing teams from pre-sales to delivery
- Build and nurture client relationships to maintain satisfaction and efficient communication
- Engage with senior stakeholders to foster organizational commitment to AI adoption
- Support sales and pre-sales initiatives by exploring data opportunities, addressing RFPs, and preparing proposals
Requirements
- 8+ years of experience in IT with extensive background in Data Science
- 3+ years of leadership roles such as Lead, Manager, or Architect in Agile or hybrid environments
- Management experience with teams of 20+ professionals
- Completion of at least five full project cycles or major product launches
- Extensive leadership expertise in Data Analytics, Machine Learning, and AI
- Showcase of designing and executing ML/AI solutions
- Knowledge of Machine Learning, including deep learning, statistical methodologies, and diverse ML models
- Capability to engage senior stakeholders and secure project funding or support
- Competency in conveying complex technical concepts to varied audiences
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Understanding of translating business requirements into scalable ML/AI solutions
- Familiarity with regulatory environments or experience in regulated industries
- Background in cloud platforms (AWS, Azure, or GCP)
- Advanced proficiency in English for clear communication and professional relationship building
Nice to have
- Showcase of additional certifications in Data Science or Machine Learning
- Experience leading AI-related workshops or making public presentations
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