Data Science Engineer

• 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.
• Key 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 bigdata 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 machinelearning engineers.
• Qualifications:
• 5 12 years of experience in data science
• Proficiency with data mining mathematics and statistical analysis
• Advanced experience in pattern recognition and predictive modelling
• Experience with Excel Power BI PowerPoint Database and Python
• Experience in Kubernetes is an added advantage.
• Experience in building data science models using Spacy BERT Ahocorasick random
• forest etc.
• Ability to work effectively in a dynamic researchoriented group that has several
• concurrent projects.

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