8 publicaciones de empleo destacadas en data scientist (¡Están contratando!)

Data Science Consultant
EPAM Systems, Inc. —Desde casa
5h
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サイネオス・ヘルス —Buenos Aires, Buenos Aires
System Engineer (Windows)
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Manager Salesforce Sales Cloud
BBVA —Retiro, Buenos Aires
- Tiempo completo
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Data Science Consultant

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Hace 5 horas

Descripción completa del empleo

We are seeking a Data Science Consultant to steer the design and deployment of next-generation ML and AI solutions tailored for our clients.

The position integrates business objectives with AI innovation, ensuring meaningful impact and encouraging AI adoption throughout organizations. Join us to lead cross-functional teams and help clients realize AI’s full potential.

Responsibilities

Provide strategic and technical leadership in ML and AI for client engagements
Develop responsible AI solutions and measurement approaches aligned with client needs
Drive AI adoption by connecting various organizational layers and envisioning new products
Collaborate with clients to identify problems and demonstrate ML/AI solution effectiveness
Lead and support data scientists and engineers as a mentor and peer
Monitor advancements in ML/AI tech and propose novel approaches considering regulatory factors
Facilitate communication between business, legal, and technical stakeholders within EPAM and clients
Define ML project scopes, pricing strategies, and manage transitions between sales and delivery
Strengthen client relationships through transparent communication and problem-solving
Engage executive and C-level leaders to promote enterprise-wide AI usage
Support sales and pre-sales with data opportunity analysis, RFP responses, and proposal creation

Requirements

Leadership experience of 12+ years in Data Analytics, Machine Learning, and AI
Proven ability to design and execute ML/AI projects
Strong knowledge of machine learning including deep learning, statistics fundamentals, HCI, CNN/RNN, transformer models, LLMs (RAG), and privacy/security in ML
Experienced in leading multidisciplinary, geographically distributed AI teams
Adept at influencing senior stakeholders to fund or approve ML/AI initiatives
Capable of communicating complex technical ideas to varied audiences
Proficient with Python and ML libraries such as PyTorch and TensorFlow
Familiar with SQL and cloud platforms like AWS, Azure, or GCP
Experience in regulated sectors or technology regulatory functions
Strong problem-solving skills to align business requirements with ML/AI solutions

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

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data scientist empleos

Data Science Consultant

Machine Learning Engineer II

Digital Channels Service Lead — Mobile App & Home Banking

Sr Mainframe Automation Engineer

Sr. GenAI/ML Sales Specialist SOLA

Internal Account Director (Recruitment & Retention)

System Engineer (Windows)

Manager Salesforce Sales Cloud

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