Senior Data Science Consultant

Remote in Brazil

Data Science Consulting

Location-specific conditions & benefits*

Brazil

We are seeking an experienced Senior Data Science Consultant to join our team.

In this role, you will use your deep knowledge of data science to create impactful solutions for complex business problems. You will collaborate with clients and internal teams to develop, implement, and refine data strategies that drive measurable results. This role emphasizes leadership, creativity, and the ability to convert business requirements into actionable data insights. Additionally, you will mentor team members and champion the adoption of innovative tools and methodologies.

Responsibilities

Oversee the creation and deployment of data science solutions to address key business needs
Work closely with stakeholders to identify data opportunities that support strategic goals
Develop and fine-tune machine learning models to enhance processes and outcomes
Create and maintain advanced analytics frameworks to support data-driven decision-making
Ensure the reliability and scalability of data science systems in diverse environments
Provide leadership and mentorship to data science teams, helping them grow their skills and expertise
Perform exploratory data analysis to identify trends, patterns, and actionable insights
Communicate findings and recommendations effectively to both technical and non-technical audiences
Stay informed on advancements in AI, machine learning, and data science to maintain cutting-edge expertise
Promote innovation by integrating emerging technologies and methodologies into workflows

Requirements

More than 10 years of experience in IT, with a strong emphasis on data science and analytics
At least 5 years in leadership positions, such as Lead, Manager, or Architect, within Agile or hybrid work environments
Demonstrated ability to manage teams of 40 or more, ensuring alignment with project goals and timelines
Experience completing at least 8 full project lifecycles or launching 2 or more key products or capabilities to the market
Expertise in data analytics engineering, including data preparation, modeling, and visualization to inform business decisions
Strong knowledge of machine learning techniques, including supervised and unsupervised learning, and their practical applications
Proven ability to design AI and ML strategies to address complex organizational challenges
Advanced proficiency in Python for data processing, analysis, and building machine learning workflows
Practical experience with PyTorch for developing and deploying deep learning models
Familiarity with TensorFlow for creating scalable machine learning systems
Solid understanding of cloud platforms such as AWS, Azure, or GCP for deploying and managing data science solutions
Advanced English communication skills, both written and verbal, with the ability to articulate technical concepts clearly

Nice to have

Certifications in data science, machine learning, or cloud computing to validate expertise
Hands-on experience integrating data science solutions with enterprise applications to improve workflows
Familiarity with advanced visualization tools or techniques to present insights effectively

We offer/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