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Data Science Consultant

Role overview

Qualifications

  • Bachelor’s or master’s degree in machine learning, computer science, engineering, or related technical fields
  • Proficiency in AI and ML concepts, including MLOps, technologies, and cloud frameworks
  • Expertise in Python libraries and machine learning frameworks
  • Ability to communicate effectively in both written and spoken English (B2 level or higher)

Responsibilities

  • Drive and implement continuous improvements in the client's delivery framework
  • Apply (SAFe) Agile operational standards and practices to optimize efficiency and AI investment returns
  • Act as a subject matter expert in Data Science or Data Engineering
  • Collaborate with Product Owners to gather, address, and align their needs and requirements

Key facts

Hard skills

Other skills

  • Communication
  • Teamwork
  • Problem Solving

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We are seeking a skilled Data Science Consultant to join our team and contribute to the delivery of AI and Data Cloud Solutions. As a member of our team, you will collaborate with data scientists, engineers, and product owners to advance our AI delivery framework. Your expertise in data structures, databases, and ETL tools will help optimize AI processes while ensuring compliance with security and ethical standards. This role provides the opportunity to drive AI innovation in a collaborative and dynamic environment. Responsibilities Drive and implement continuous improvements in the client's delivery framework Apply (SAFe) Agile operational standards and practices to optimize efficiency and AI investment returns Act as a subject matter expert in Data Science or Data Engineering Collaborate with Product Owners to gather, address, and align their needs and requirements Ensure our client's solutions comply with security, AI ethics, DPP, legal, and works council standards Facilitate quarterly planning activities for the client Contribute to operational KPIs reporting and drive improvements in these KPIs Contribute to the development of reusable and enablement assets relevant to the client's context Educate customers and stakeholders on AI and machine learning concepts Requirements Bachelor’s or master’s degree in machine learning, computer science, engineering, or related technical fields Background in working with teams of AI Scientists, MLOps Engineers, and Product Owners Showcase of stakeholder communication skills to understand SAP business processes Understanding of agile team practices and methods including Scrum, Kanban, and SAFe Proficiency in AI and ML concepts, including MLOps, technologies, and cloud frameworks such as Jupyter, Docker, Kubernetes, Github, SAP BTP, OCR, NLP, and CV Expertise in Python libraries and machine learning frameworks such as NumPy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch, and Gensim Interest in business process engineering and modeling Qualifications in ITIL and ITSM practices Capability to take ownership of tasks and demonstrate collaborative teamwork skills Ability to communicate effectively in both written and spoken English (B2 level or higher)

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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