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Middle Data Scientist

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years experience in Data Science/Machine Learning, Proficiency in Python and data science libraries, Novice or intermediate knowledge in NLP, CV, Time Series, MLE, Strong communication and presentation skills, B2+ English proficiency.

Key responsabilities:

  • Implement AI/ML-driven solutions for clients
  • Stay updated with latest advancements in Data Science and AI
EPAM Systems logo
EPAM Systems Information Technology & Services XLarge https://www.epam.com/
10001 Employees
See more EPAM Systems offers

Job description

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Your missions


Description

Description

We are looking for a Middle Data Scientist who possesses expertise in classical Machine Learning and is passionate about exploring new technological stacks such as NLP (Natural Language Processing), CV (Computer Vision), Time Series, MLE/MLOps (Machine Learning Engineering) and Recommendation Systems.

In this role, you'll have the opportunity to work on diverse projects. If you enjoy embracing fresh challenges, we invite you to apply and join our team.

#data-vacancies-July-LV

What You’ll Do

  • Collaborate with EPAM's clients and internal teams to implement AI/ML-driven solutions
  • Work closely with cross-functional teams to deliver business value to our clients
  • Stay updated with the latest advancements in Data Science and Artificial Intelligence


What You Have

  • At least 3+ years of production experience in Data Science / Machine Learning
  • Proficiency in Python ecosystem and data science libraries (pandas, sklearn, NumPy)
  • Novice or intermediate knowledge of at least one domain from the list: Natural Language Processing, Machine Learning Engineering, Computer Vision, Time Series, Recommendation Systems
  • Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences
  • B2+ English, both verbal and written


Nice to Have

  • Familiarity with at least one Cloud provider (AWS, GCP, Azure)
  • Expertise in Deep Learning
  • Willingness to learn new technological stacks


We Offer

  • Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
  • Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
  • World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
  • Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
  • GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
  • Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
  • Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga
  • Other Benefits: 2500-4000 EUR gross, based on interview results, additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more


About EPAM

  • EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption
  • With offices in 55+ countries, EPAM has grown in Latvia to over 130+ talented innovators in 2 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Problem Solving
  • Proactivity
  • Detail-Oriented
  • verbal-communication-skills
  • quick-learning
  • decision-making

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