Senior Data Scientist
Required work experience:
Full-time, full day
Responsibilities include:
  • Developing and implementing complex machine learning algorithms to enhance products and services.
  • Analyzing large volumes of data and creating predictive models to assist in decisionmaking.
  • Collaborating with other departments to identify important questions and develop appropriate data analysis strategies.
  • Presenting complex technical concepts to a wide audience.
Our ideal candidate should have:
  • Bachelor's or Master's degree in computer science, statistics, mathematics, or related field.
  • Minimum of 2 years of experience in Data Science.
  • Proficiency in Python and major data processing (numpy, pandas) and machine learning (scikitlearn, TensorFlow) libraries.
  • Experience with large datasets and SQL databases.
  • Knowledge of statistical analysis and predictive modeling.
  • Strong data visualization skills, experience with libraries such as Matplotlib or Seaborn.
  • Ability to work in a team, excellent communication skills.
Bonus Skills:
  • Experience in the telecommunications sector.
  • Experience with Spark/Hadoop.
  • Knowledge of BI systems.
Perks and Benefits include:
  • Hybrid work format and flexible start to the workday.
  • Professional development opportunities: participation in meetups, trainings, conferences, demo days, and hackathons.
  • Additional 4 days of vacation — totaling 28 calendar days per year.
  • Annual bonus based on KPI achievements.
  • Corporate mobile communication.
  • Voluntary medical insurance with dental care and medication coverage, with the option to add two close relatives for free.
  • Discounted and installment fitness subscriptions.
  • Monetary compensation for using a personal laptop.
  • Online platform for free psychological assistance.
  • Access to the corporate online library MyBook.
Join us!
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