
Data Scientist
9 hours ago
**Objectives of this role**:
- Collaborate with product design and engineering teams to develop an understanding of needs.
- Research and devise innovative statistical models for data analysis.
- Build innovative models and integrate them in our product.
- Communicate findings to all stakeholders.
- Keep current with technical and industry developments.
**Responsibilities**:
- Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
- Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
- Identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products.
- Execute analytical experiments to help solve problems across various domains and industries.
- Analyse data for trends and patterns and interpret data with clear objectives in mind.
- Implement analytical models in production by collaborating with software developers and machine-learning engineers.
**Required skills and qualifications**:
- Junior Data Scientist: 3-5 years of experience; Senior Data Scientist: 10+ years of experience in data science i.e. Machine Learning, NLP
- Proficiency with data mining, mathematics, and statistical analysis
- Advanced experience in pattern recognition and predictive modelling
- Must have Experience in Python, Fast API, Docker, Microsoft Azure DevOps
- Experience in building data science models using Spacy, BERT, Ahocorasick, random forest etc.
- Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
**Preferred skills and qualifications**:
- Bachelor’s degree (or equivalent) in statistics, technology, applied mathematics, or related discipline.
- Professional certification
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