We are looking for a Data Science Specialist to drive the design, engineering, and development of

advanced Machine Learning solutions. You will work on ML lifecycle frameworks, deep learning

architectures, scalable pipelines, and seamless integration with backend systems. This role demands

strong analytical thinking, innovation, scientific curiosity, and the ability to build high-quality,

production-ready ML solutions.

Job Responsibilities

• Develop and implement ML models for brand extraction using product names, descriptions,

and attributes.

• Build and deploy ML-based product matching solutions.

• Design and implement text-based product classification systems.

• Analyze large datasets using statistical techniques to uncover insights and patterns.

• Build machine learning, statistical, analytical, and forecasting models.

• Create ML/DL solutions and supporting infrastructure.

• Conduct statistical research to develop advanced analytical approaches for generating

business insights.

• Design and implement fault-tolerant ML pipelines for high-velocity, heterogeneous data.

• Optimize ML workflows for automated decision systems and predictive modeling.

• Ensure accuracy and quality in statistical analysis of complex datasets.

• Develop innovative approaches to solve advanced analytics problems.

Basic Qualifications

• Bachelor’s degree in Computer Science or equivalent.

• 4+ years of experience researching and developing ML models for large-scale data.

• 3+ years of hands-on experience with text processing techniques (classification, NER,

ranking).

• 2+ years of experience training and productionizing deep learning models.

• 3+ years of strong Python development experience.

• Solid understanding of data science challenges including large-scale data handling and

pipeline management.

• Strong communication and presentation skills.

• Proficiency with analytical, modeling, and visualization tools.

• Strong interpersonal skills, curiosity, and accountability.

• English proficiency: B1+.

Technical Skills

• Python (Pandas, NumPy, SciPy, scikit-learn).

• Text processing libraries: NLTK, GenSim.

• Experience with NLP deep learning models (LSTM, BERT, etc.).

• Proficiency with deep learning frameworks (TensorFlow + Keras preferred).