Data Science Specialist
3 weeks ago
You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product. Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.
As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.
- Development and implementation of ML models for product brand extraction based on product name, description and other attributes
- Development and implementation of ML-based product matching solutions
- Development of text-based product classification tools
- Analyze big amount of data from online retailers using statistical techniques to identify patterns
- Build ML, statistical and analytical models, forecasting models
- Create ML\DL solution and infrastructure
- Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights
- Design and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictions
- Provide statistical analysis of large and complex datasets and ensure accuracy in analysis
- Develop innovative and effective approaches to solve analytics problems
You will fit right in if you have –
- 8 years of relevant experience in the domain
- Bachelor’s degree in Computer Science or equivalent
- 4+ years’ experience researching and developing ML models for big data analysis
- Experience of deep learning in NLP (LSTM, BERT, etc.)
- Proficiency with any deep learning framework, Tensorflow + Keras is preferred
- 3+ years’ experience and deep understanding of text processing techniques and best practices (classification, NER, text ranking)
- Python (Pandas, NumPy , scipy, scikit-learn)
- Textual data processing libraries (NLTK, GenSim)
- 2+ years’ experience of training and productionalization of deep learning models
- 3+ years’ experience of software development in Python
- Excellent knowledge of the data science problems, including large scale data and data pipeline management
- Excellent presentation skills, communication skills, verbal and written
- Expert in using data analytical and modeling tools
- Excellent knowledge in using visualization tools
- Strong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability
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