Senior Data Scientist Kazakhstan or Remote

Responsibilities

• Identify business problems and apply appropriate data and methods for effective solutions
• Build and validate analytical models
• Utilize advanced analytical solutions to process large volumes of structured and unstructured customer data
• Develop descriptive and predictive models using various mathematical and econometric methods to facilitate better decision-making
• Transform analyzed data into actionable insights and business value
• Create high-quality data visualizations
• Educate and train others on Data Science-related matters
• Estimate, plan and coordinate the delivery of moderate-sized projects
• Evaluate and select Data Science tools and libraries

Requirements

• Four years of production experience in Data Science with at least one year as a DS team lead
• Expertise in one of the fields: CV, NLP, RecSys, Time Series, MLOps
• Competency in Python (NumPy / SciPy / scikit-learn / pandas / Matplotlib)
• Familiarity with Deep Learning (PyTorch, Tensorflow, Keras)
• Skills in Data Science solutions productionalization
• Intermediate or higher level of English

Nice to have

• Expertise in Cloud Services (AWS SageMaker, GCP Vertex, Azure ML Studio)

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 own 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:  :
  • 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
  • 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
  • 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)