Data Scientist

Company

CPO Pte. Ltd.

Designation

Data Scientist

Date Listed

27 Nov 2024

Job Type

Entry Level / Junior Executive
- Full/Perm

Job Period

Immediate Start, Permanent

Profession

IT / Information Technology

Industry

Logistics

Location Name

Airline Road, Singapore

Address

Airline Rd, Singapore

Map

Allowance / Remuneration

$6,000 - 8,000 monthly

Company Profile

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

**Job Description**:
Key Responsibilities:

- Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
- Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
- Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
- Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
- Work closely with engineering teams to deploy and operationalize analytical models in production environments.
- Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
- Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
- Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
- Experience with developing and deploying predictive models and algorithms would be a plus
- Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
- Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
- Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
- Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
- Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Application Instructions