წამყვანი მონაცემთა მეცნიერი

თბილისი სრული განაკვეთი TAZE Technologies
მივლინება: არა
განათლება: მაგისტრი ენები: ინგლისური
ინფორმაციული ტექნოლოგიები: მონაცემთა ბაზის ინჟინერი, მონაცემთა ბაზის ადმინისტრატორი

Are you looking for a space for innovation, diversity, and self-development? Then Tazetec has the right challenge for you!

Tazetec is looking for Lead Data Scientist


Your profile:

Education:

  • Master’s or Ph.D. in Computer Science, Data Science, Statistics, or a related field.


Experience:

  • 5+ years of experience in data science, with a focus on machine learning and recommendation systems;
  • Proven track record of developing and deploying large-scale recommendation models;
  • 2+ years of experience in a leadership or managerial role, with a history of building and managing high-performing teams.


Technical Skills:

  • Proficiency in programming languages such as Python or Scala;
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn);
  • Strong understanding of data processing tools and platforms (e.g., Hadoop, Spark, SQL);
  • Must have experience with AWS cloud services (e.g., S3, EC2, SageMaker, Redshift);
  • Familiarity with other cloud computing platforms (e.g., GCP, Azure) is a plus.


Soft Skills:

  • Excellent problem-solving and analytical skills;
  • Strong communication and presentation abilities;
  • Ability to work effectively in a fast-paced, startup environment.



Your day-to-day contribution:

  • Model Development and Optimization:
  • Design, develop, and implement state-of-the-art recommendation algorithms;
  • Optimize existing models to improve accuracy, scalability, and performance;
  • Collaborate with engineering teams to integrate models into production systems.


Team Leadership and Management:

  • Recruit, train, and mentor a team of data scientists and researchers;
  • Provide technical guidance and oversight to ensure high-quality deliverables;
  • Foster a collaborative and innovative team culture.


Data Analysis and Insights:

  • Conduct deep-dive analyses to understand user behavior and improve recommendation accuracy;
  • Develop and maintain data pipelines and ETL processes;
  • Create dashboards and reports to communicate findings and recommendations to stakeholders.


Research and Innovation:

  • Stay abreast of the latest developments in AI/ML and recommendation systems;
  • Drive innovation by exploring new techniques and technologies;
  • Publish and present research findings at industry conferences and workshops.


Stakeholder Collaboration:

  • Work closely with product managers, engineers, and other stakeholders to align data science initiatives with business goals;
  • Translate complex technical concepts into clear, actionable insights for non-technical audiences.


Our benefits package:

  • Inspiring and diverse culture surrounded by experienced and enthusiastic colleagues;
  • Flexible working hours to ensure your work-life balance;
  • Ability to choose to work remotely or at the office;
  • Star players/Top Salary policy;
  • Unlimited paid vacation days;
  • An attractive package of medical insurance;
  • Inspiring and diverse culture surrounded by experienced and enthusiastic colleagues;
  • Opportunities for personal and professional development: monthly compensation for your leisure activities, fully paid courses and workshops, etc.;
  • An active corporate life: team-buildings, sports activities, corporate parties, etc;
  • A collaborative and welcoming environment for your initiatives.



Are you ready to take on this challenge? Apply there! Send your CV at :recruitment@tazetec.com