Responsible for defining scope, timelines on assigned data science projects, working with cross functional teams to develop & trial use cases and implementing data preparation, cleansing, exploratory analysis, feature engineering at scale
Developing statistical & machine learning models using available software stack and finalizing appropriate model for deployment
Evaluating business process integration options, offer design, prescriptive analysis for successful business deployment while maintaining documentation of methodology, source codes, version control & other best practices in development operations
Adhering to agile development and communicating with business/support units to identify opportunities for leveraging organizations data to drive business while Carry implementing data analytics, visualization, concept development to present findings & actionable intelligence to stakeholders & senior management
Developing of statistical, machine learning & AI models as POC & production ready using open source (R/Python) technologies and designing data integration from both internal, external sources on top of big data / data warehouse environment while working in cross functional teams
Deploying automate viable use case on production environment in collaboration with IT/Business teams and designing experiments as required while defining performance tracking metrices
Developing and implementing required data marts, structures for continuous performance evaluations of deployed models and troubleshoot, optimize execution performance of deployed models
Responsible for researching on industry best practices work with internal / external parties and communicating with experts for continuous improvement of methodologies and monitoring outcome, optimizing of models / business process with stakeholders while maintaining documentation & version control
Responsible for grooming junior data analysts/ scientists and providing job training sessions to junior data analysts/ scientists, sharing knowledge
Managing assigned business/support unit(s) to identify opportunities for leveraging organizations data to drive business and collecting data from both internal & external sources
Preparing data for analytical tasks and implementing exploratory data analysis, visualization, hypothesis testing to present findings & actionable intelligence to stakeholders & senior management through data visualization tools
Entry Requirements
Possess a degree in B. Sc in IT/ Computer Science/ AI/ Data science/ statistics, software engineering, economics and business
Minimum 1-3 years of experience in similar capacity
Ability to program in Python and SQL,
Excellent knowledge in Statistics (descriptive and inferential), mathematics (calculus/ linear algebra), machine learning techniques and algorithms
experience in data engineering in different environments such as data warehouse/big data/cloud storage
Continuous learner who is actively seeking knowledge and experience