Data Scientist II
4 days ago
Applies existing data science techniques to new problems and datasets using specialised programming techniques.
Selects from existing data sources and prepares data to be used by data science models.
Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use.
Publishes and reports on model outputs to meet customer needs and conforming to agreed standards.
Job Description
Main Accountabilities
Establishes strategic recommendations on data collections incorporating business requirements and knowledge of best practices
Identifies and evaluates relevancy of data sources both internal and external, in collaboration with subject matter experts and IT stakeholders
Develops innovative and effective approaches to solve analytics problems through the application of data mining, feature engineering, scenario modelling, advanced algorithms, machine learning, experimental design, and hypothesis testing
Works with the development team to ensure relevant analytics and data is utilized in digital services
Suggests improvements to business metrics for the digital services
Structures and presents data insights in easy to understand terms for external stakeholders
Job Scope
Works with disciplines and technical teams to reorganize data, analzye data, and create predictive insights that guide business behaviors, according to compliance and TPFMC Standards
Typical profile/ Must have
BSc Required, MSc/PhD preferred in Data Science, Computer Science, Computer Engineering, Mathematics, or Statistics
(Experience can compensate for lack of formal competency)
BSC with 5+ years of experience or MSc/PhD with 5+ years of experience in data science, data engineering, data analysis, or software development
5+ years of programming experience in R, python, or other data science language
Competent in creating and optimizing SQL and shell scripts
Capable of analyzing, wrangling, and joining varied datasets
Capable of using machine learning platforms to design, build, test, refine, and deploy predictive models
Capable of building high-quality graphical visualizations of data
Capable of effectively structuring information and communicating insights in presentations
You are meant for this job if:
- Thrive on solving complex problems using data-driven approaches.
- Have a strong foundation in programming, statistics, and machine learning.
- Can translate raw data into actionable insights that influence business decisions.
- Communicate technical findings clearly to both technical and non-technical stakeholders.
Data Science Data Analysis Data Engineering Python R Programming
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