Data Science

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.

Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

• Collect, Clean, And Preprocess Large-scale Datasets From Various Sources For Analysis.
• Apply Statistical Analysis Techniques And Mathematical Modeling To Uncover Patterns, Trends, And Relationships Within The Data.
• Develop And Implement Machine Learning Algorithms For Data Classification, Regression, Clustering, Or Recommendation Systems.
• Utilize Programming Languages (such As Python, R, Or SQL) And Data Manipulation Techniques To Extract, Transform, And Load Data For Analysis.
• Build Predictive Models To Support Business Decision-making, Optimize Processes, Or Solve Specific Problems.
• Conduct Hypothesis Testing, Statistical Inference, And Perform Rigorous Validation Of Models And Findings.
• Visualize Data And Present Results In A Clear, Concise, And Visually Appealing Manner To Stakeholders.
• Collaborate Closely With Cross-functional Teams, Including Data Engineers, Business Analysts, And Domain Experts, To Identify Data Requirements And Provide Insights That Drive Actionable Outcomes.
• Stay Up-to-date With The Latest Advancements In Data Science, Machine Learning, And Statistical Modeling Techniques, And Identify Opportunities For Their Application In Our Organization.
• Communicate Complex Technical Concepts And Findings To Non-technical Stakeholders Effectively.

• A bachelor's or master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related discipline. A Ph.D. is a plus. Demonstrated exceptional academic performance as evidenced by being in the top 20% of graduates, and/or possess an outstanding university transcript reflecting consistently high grades and a strong academic record.
• Proven experience as Data Scientist or a similar role, demonstrating a strong background in data analysis, statistical modeling, and machine learning.
• Strong mathematical and statistical skills, with the ability to apply advanced techniques to solve complex problems.
• Solid understanding of experimental design, hypothesis testing, and statistical inference.
• Excellent data visualization skills, with the ability to effectively communicate complex findings to both technical and non-technical audiences.
• Strong problem-solving abilities and a detail-oriented approach to data analysis.
• Effective communication and collaboration skills, with the ability to work in cross-functional teams and contribute to a collaborative work environment.