M08 - Data Scientist

Аналитика рынка

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Описание

Responsibilities To use Python/R or other tools to generate Monthly draft billing statement (overall and by agencies) based on source inputs and business rules To use Python/R or other tools to process source inputs and business rules and visualise on PowerBI Monthly contact center reports for vendor performance as well as provide scorecard 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 Identify data quality issues from source inputs and propose changes that can help to reduce these occurrences 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 Experience and Skills requirement Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems. Proficient in writing scripts in R/Python 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 the intended information. Capable of developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated to the data systems for real time visualisation of information. Capable of translating results from analysis work into actionable recommendations for stakeholders. Capable of communicating results from analysis work in a coherent data story for stakeholders. Experience in model deployment. Experience in stakeholder management. Experience in agile project management.

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