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Data Science Consultant

Remote:

Full Remote

Contract:

Freelance

Experience:

Senior (5-10 years)

Work from:

Brazil

Offer summary

Qualifications:

Extensive experience in Data Analytics leadership, Proven track record in ML/AI solutions, Deep understanding of ML techniques, Experience with Python, PyTorch, TensorFlow, Familiarity with cloud platforms like AWS, Azure, GCP.

Key responsabilities:

Lead design and development of ML/AI solutions
Foster AI adoption across organizations
Engage with clients to address challenges
Collaborate with teams as mentor and peer
Maintain strong client relationships and facilitate project delivery

EPAM Systems Information Technology & Services XLarge https://www.epam.com/

10001 Employees

See more EPAM Systems offers

Job description

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

In this role, you will provide technical leadership and strategic expertise in Machine Learning (ML) and Artificial Intelligence (AI). You will be crucial in driving the design, development, and implementation of ML and AI solutions that meet our clients' needs.

Responsibilities

Provide technical leadership in ML and AI, driving the design and development of solutions
Plan and execute responsible AI systems and corresponding measurement strategies
Foster AI adoption across various organizational verticals, envisioning new products and solutions
Engage with clients to understand their business challenges and articulate how ML/AI can address them
Collaborate closely with data scientists and engineers, leading teams as both a peer and mentor
Keep abreast of advancements in ML/AI technologies
Act as a liaison between business, legal, and technology stakeholders
Shape ML solutions, scope and price engagements, and lead the transition from sales to delivery
Maintain strong client relationships, ensuring satisfaction and effective project delivery
Engage executive and C-level stakeholders to promote enterprise-wide AI adoption
Support sales and pre-sales activities, assess data opportunities, respond to RFPs, and create proposals

Requirements

Extensive experience in a leadership role within Data Analytics, ML & AI
Proven track record designing and implementing ML/AI solutions
Deep understanding of ML, including deep learning, CNN/RNN, transformer models, and LLMs
Demonstrated experience leading multidisciplinary and geographically distributed teams
Capability to engage and influence senior stakeholders
Proficiency in Python, PyTorch, and TensorFlow
Excellent problem-solving skills and competency in analyzing and translating business requirements into ML/AI solutions
Familiarity with working in a regulated industry or alongside technology-adjacent regulatory functions.
Background in statistics fundamentals, human-computer interaction, privacy-preserving ML, and security fundamentals
Good hands-on experience with SQL
Cloud experience with platforms like AWS, Azure, or GCP