Match score not available

Middle Data Scientist

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

Offer summary

Qualifications:

3+ years of experience in Data Science / Machine Learning, Proficiency in Python and data science libraries, Knowledge of at least one domain (NLP, ML Engineering, Comp. Vision, Time Series, Rec Systems), Strong communication skills for technical concepts, B2+ English proficiency.

Key responsabilities:

  • Collaborate to implement AI/ML solutions
  • Work with cross-functional teams for business value
  • Stay updated with Data Science advancements
EPAM Systems logo
EPAM Systems Information Technology & Services XLarge https://www.epam.com/
10001 Employees
See more EPAM Systems offers

Job description

We are looking for a Middle Data Scientist with expertise in classical Machine Learning to join our team.

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.

Responsibilities


  • 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


Requirements


  • 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


  • We connect like-minded people:
    • Delivering innovative solutions to industry leaders, making a global impact
    • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
    • Opportunity to work abroad for up to two months per year
    • Relocation opportunities within our offices in 55+ countries
    • Corporate and social events
  • We invest in your growth:β€―
    • Leadership development, career advising, soft skills and well-being programs
    • Certifications, including GCP, Azure and AWS
    • Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
    • Free English classes with certified teachers
    • Discounts in local language schools, including online courses for the Kazakh language
  • We cover it all:
    • Participation in the Employee Stock Purchase Plan
    • Monetary bonuses for engaging in the referral program
    • Comprehensive medical & family care package
    • Six trust days per year (sick leave without a medical certificate)
    • Coverage of psychology sessions of your choice
    • Benefits package (sports activities, a variety of stores and services)
Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.

EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM Kazakhstan received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.

Required profile

Experience

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

Other Skills

  • Willingness To Learn
  • Verbal Communication Skills
  • Collaboration

Data Scientist Related jobs