Roles & Responsibilities
JD : Responsibility :
- Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects
- Perform data cleaning, pre-processing, feature engineering, and build data science models to address the use case
- Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline
- Communicate the data insights in a clear and compelling narrative, supported with impactful visuals, to influence key decision makers
- Depending on the use case, design of dashboards and interactive visualisations as tools for data exploration and storytelling may be expected
- Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems
Experience & Skill Needed :
Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems.Proficient in writing scripts for data preparation and analysis, using modern analysis tools & programming methodologies.Proficient cleaning, imputing and correcting anomalies in the collected structured or unstructured data to ensure a high standard of quality in data sets to be used in the analysis work.Proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.Proficient in building machine learning models to identify, recognise patterns and make predictions.Proficient in design principles and use of visualisations to best convey theintended information.
Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems.Proficient in writing scripts for data preparation and analysis, using modern analysis tools & programming methodologies.Proficient cleaning, imputing and correcting anomalies in the collected structured or unstructured data to ensure a high standard of quality in data sets to be used in the analysis work.Proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.Proficient in building machine learning models to identify, recognise patterns and make predictions.Proficient in design principles and use of visualisations to best convey theintended information.
Tell employers what skills you have
Tableau
TensorFlow
Machine Learning
Big Data
Hadoop
Mathematics
Translating
Data Mining
SQL
Project Timeline
Python
Writing
Statistics
Data Science
Storytelling
Data Analytics