Data Scientist

Taguig

RESPONSIBILITIES:

• Perform in-depth data analysis, including data cleaning, exploration, and visualization, to uncover patterns, trends, and insights from large datasets.
• Develop and implement appropriate statistical and machine learning techniques to make predictions, classify data, and solve specific business challenges.
• Engineer new features and variables from raw data to improve model performance and extract relevant information.
• Evaluate and fine-tune machine learning models using appropriate metrics and validation techniques to ensure robustness and accuracy.
• Collaborate with data engineers to access, transform, and integrate data from various sources, ensuring data quality and consistency.
• Translate data findings into actionable insights and recommendations that contribute to strategic decision-making and business growth.
• Plan and execute controlled experiments, including A/B tests, to assess the impact of changes and interventions.
• Create informative data visualizations and dashboards to communicate findings effectively to both technical and non-technical stakeholders.

REQUIREMENTS:

• Bachelor’s or Master’s or PhD degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science).
• Proven experience as a Data Scientist, including expertise in data analysis, statistical modeling, and predictive analytics.
• Proficiency in relevant programming languages, for data analysis and model development.
• Strong knowledge of machine learning concepts and the ability to apply them.
• Experience with data visualization tools and libraries for conveying data insights effectively.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills to convey complex findings and insights to diverse audiences.
• Familiarity with big data technologies, cloud computing platforms, and database systems.

OTHER KEY CONSIDERATIONS

• Adept at SCRUM/Agile methodologies and environment
• Highly organized and able to work in a fast-paced environment.
• Able & willing to learn new tools, software, and processes.
• Able to take direction, listen to the needs of business managers, and interpret their needs into technical instructions.
• Effective working on teams, within, and outside of function.
• Able to work under pressure.