27 დეკ - 25 იან
სტანდარტი
წამყვანი მონაცემთა მეცნიერი
თბილისი
- სრული განაკვეთი
- მაგისტრი
- გამოცდილება აუცილებელია , გამოცდილება 2-დან 5 წლამდე
- ინგლისური
ვაკანსიაზე გამოხმაურება
ელ. ფოსტა: recruitment@tazetec.com
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
ინფორმაციული ტექნოლოგიები
მონაცემთა ბაზის ინჟინერი,
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