data scientist

RecruitFirst Pte Ltd; Malaysia; On-site; MYR 50,000 - 70,000; Full time

Job summary

A data analytics firm in Malaysia is looking for a skilled analyst to perform ETL management, database maintenance, and exploratory data analysis. The ideal candidate will hold a Bachelor's degree in Statistics, Mathematics, or Computer Science, and possess strong skills in SQL and Python. Responsibilities include supporting Machine Learning model development and collaborating with cross-functional teams to ensure data integrity. This is a fast-paced role requiring a proactive and team-oriented mindset.

Qualifications

• Bachelor's degree in a relevant field.
• Strong understanding of statistical concepts.
• Experience in SQL and Python for data analysis.

Responsibilities

• Assist in designing and implementing ETL flows.
• Collaborate with developers for data integrity.
• Conduct exploratory data analysis to uncover trends.
• Support the lifecycle of Machine Learning models.
• Monitor and improve algorithms for optimization.
• Translate business needs into technical solutions.

Skills

Statistical concepts

SQL

Python (Pandas, Matplotlib/Seaborn)

Data visualization tools (Power BI, Tableau)

ETL processes

Data storytelling

Team-oriented mindset

Education

Bachelor’s degree in Statistics, Mathematics, or Computer Science

Job description

What requirements you’ll need to be eligible

At least a Bachelor’s degree in Statistics, Mathematics, Computer Science

Knowledge, Skills and Abilities

• A strong foundational understanding of statistical concepts and a natural curiosity for discovering patterns within data.
• High level of accuracy and thoroughness when cleaning and validating data to ensure “single source of truth” reporting.
• Solid proficiency in SQL (ability to join tables, use aggregate functions, and write efficient queries).
• Foundational knowledge of Python for data analysis (familiarity with libraries such as Pandas and Matplotlib/Seaborn).
• Basic experience creating reports or dashboards in Power BI, Tableau, or similar tools to communicate data findings.
• Exposure to or academic experience with cloud environments like AWS or GCP is a plus, but not required.
• Ability to clearly explain your data findings and logic to team members and stakeholders.
• A "quick learner" mentality with the ability to pivot between tasks and pick up new technical frameworks rapidly.
• A team-oriented mindset with the integrity and work ethic to thrive in a fast-paced, evolving environment.
• Highly motivated to take ownership of small projects and a proactive desire to be mentored and develop advanced data science skills.

What you’ll be doing on the job

• ETL Management: Assist in designing and implementing ETL flows to consolidate data from various sources for analysis and modeling.
• Database Maintenance: Collaborate with developers to ensure data integrity and accessibility for business-critical reporting.
• Exploratory Data Analysis (EDA): Identify, investigate, and explain trends and patterns within complex datasets to uncover business opportunities.
• Model Development: Support the full lifecycle (research, build, validate, and test) of Machine Learning models, including clustering, classification, regression, and recommendation engines.
• Optimization: Continuously monitor and help improve existing algorithms to ensure they remain accurate and effective for business optimization.
• Cross-Functional Partnership: Work alongside Product Managers, Business Owners, and Developers to understand business needs and translate them into technical solutions.
• Data Storytelling: Break down complex technical concepts into clear, simple reports and visualizations for non-technical stakeholders.
• Global Support: Provide cross-country analytical support to ensure consistency in data standards and insights across the organization’s regional offices.