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DATA SCIENCE | SENIOR
ARMENIA (YEREVAN)
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Company Overview:
Optimax Dev is at the forefront of technology. As part of the Optimax Eyewear group, one of the largest online optical retailers globally, Optimax Dev is dedicated to transforming traditional optical purchasing experiences into modern and user-friendly encounters.


Job Description:
We are seeking an experienced Data Scientist, bringing both deep data science expertise and strong MLOps capabilities. You'll work hands-on with our team on modeling and experimentation while establishing technical workflows and implementing production-ready ML systems.

What We're Looking For:
  • A data scientist who can seamlessly bridge research and production
  • Someone who enjoys both modeling work and building scalable systems
  • Ability to work on complex data science problems while ensuring production readiness
  • Strong technical judgment across both data science and engineering domains
  • Experience taking models from notebook to production
Key Responsibilities:

  • Lead data science initiatives and drive technical excellence across the team
  • Develop and implement machine learning models and algorithms hands-on
  • Establish and manage technical workflows and development processes
  • Collaborate closely with team members on modeling and pure data science work
  • Guide the team's technical direction and methodology choices
  • Design and implement MLOps pipelines for model deployment and monitoring
  • Document experiments, findings, and technical decisions thoroughly
  • Mentor team members and elevate the team's technical capabilities
Preferred Qualifications:

  • Experience with computer vision tasks (classification, segmentation, OCR)
  • Cloud platform experience (GCP)
  • Experience with recommender systems
  • Background in e-commerce or similar data-rich environments
  • Experience with LLMs and RAG systems
  • Experience building ETL pipelines and data engineering concepts
Requirements:

  • Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field
  • 5+ years of hands-on experience in Data Science (not just analytics or Python development)
  • Strong theoretical understanding of ML/statistical methods and their practical applications
  • Proven experience building and deploying machine learning models

Deep expertise in:
  • Statistical analysis and experimental design
  • Machine learning algorithms (clustering, neural networks, tree-based methods, etc.)
  • Model evaluation and validation techniques
MLOps experience required:

  • Model deployment and serving
  • ML pipeline orchestration
  • ML workflow tools
  • Model monitoring and versioning

  • Proficiency with Python and data science libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow)
  • Experience with SQL and working with large datasets
  • Strong problem-solving skills and ability to translate business problems into data science solutions
  • Excellent communication skills and technical leadership experience
  • Comfortable with Git and collaborative development
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Why Optimax Dev?
We care about your comfort at the workplace:
  • Modern office
    A spacious office in the centre of Yerevan, with an area of 1000 sqm, following the best traditions of IT companies' offices.
  • Health & Wellness
    Medical insurance, dental care, offline and online yoga, a relaxation room, gym membership, eco-initiatives, and much more.
  • English & Professional Development
    English language classes are conducted by teachers every day at the office and online. The company also covers the costs of any professional training (approved by team lead).
  • Transparent system of employee's growth
    Salary and grade upgrade every six months. Complex and unconventional workflows, a wide range of professional tasks, and a high level of expertise.
  • Meals & Snacks
    Always a fully stocked fridge with snacks and lunch for every taste. Unlimited tea, coffee, and other beverages. Pizza party every month.
  • More, than just co-workers
    We throw the best parties for employees and support all employee leisure initiatives.
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