Aboitiz Data Innovation | Data Scientist

3 weeks ago

Singapore Aboitiz Data Innovation Full time

Aboitiz Data Innovation (ADI)
is one of the leading up and coming start-ups in the field of Data Science and Artificial Intelligence. We believe data can drive change for a better world by advancing businesses across industries and communities.
We are looking for
2 x Mid-Senior Data Scientists
to develop and deploy multiple machine learning models leveraging Statistical/Machine Learning techniques based on Outlier/Anomaly detection.
Please take note this is the staff augmentation with a 6-month contract & onsite setup.
Responsibilities
The ideal candidate will leverage data to drive business decisions and enhance our projects. You will be responsible for developing key deliverables throughout the project lifecycle, from initial concept to deployment.
Project Charter Development:
Define project goals and objectives.
Outline project scope and identify stakeholders.
Establish a timeline for project milestones.
Data Requirements Documentation:
Identify and document data sources and types.
Develop methodologies for data collection.
Exploratory Data Analysis (EDA):
Create data visualizations and statistical summaries.
Provide preliminary insights based on data analysis.
Feature Engineering:
Select and document relevant features for modeling.
Implement feature extraction and transformation techniques.
Model Design:
Develop and document the architecture of predictive models.
Select appropriate algorithms and set hyperparameters.
Model Training and Evaluation:
Execute training processes and evaluate model performance.
Analyze validation results and adjust models as needed.
Deployment Planning:
Formulate strategies for model deployment.
Ensure integration with existing systems and establish monitoring plans.
Technical Documentation:
Maintain comprehensive documentation of the codebase and APIs.
Develop user guides for stakeholders and team members.
Final Reporting:
Summarize findings and model performance.
Assess business impact and present results.
Presentation Development:
Create presentation decks highlighting key insights and visualizations.
Provide actionable recommendations based on analysis.
Requirements
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Experience in data analysis, machine learning, and statistical modeling.
Strong proficiency in Python.
Familiarity with big data technologies, including Hadoop and Spark.
Comprehensive understanding of statistical and machine learning techniques.
Specialized knowledge in fraud and anomaly detection using unsupervised learning.
Experience in developing and deploying machine learning pipelines.
Strong communication skills and the ability to present complex information clearly.
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