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Data Scientist
Posted in Software Engineering
4 years ago
Description :
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
Data Modelling
- Build machine learning models to make predictions and answer key business questions
- Develop data models and products to produce insights
- Perform feature engineering, visualisations and other techniques to make out certain perceptions from the available data
- Use statistics tools to analyze data to understand and model the relationship between different metrics and identify key insights
- Collaborate with teams to identify opportunities to build data science products as a solution to technical challenges
- Analyse data covering a wide range of modalities (transactions, text, images, etc)
- Communicate findings from complex analysis and modelling in a clear and effective manner
- Align own behaviour with the organisation culture and values.
- Share and transfer process and systems knowledge to colleagues.
- Collaborate and work with the broader HR Team to deliver required service levels.
- Actively participate in the team to ensure expectations and company objectives are achieved.
- Ensure achievement of own performance expectations.
- Actively share information with other team members regarding successes, issues, trends and ideas.
- Actively participate in own professional development and career path.
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 2 years' of experience in quantitative analytics or data modeling
- Experience in programming languages like SQL; C#
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Working knowledge of database systems
- Proficient in mathematics; statistics; correlation; data mining and predictive analysis
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