Job Description
- Bridge between big data and machine learning model
- Analyse historical data, identify predictive pattern, engineer robust features to improve model accuracy
- Translate business knowledge into quantifiable data points & statistical insights
Job Scope & Responsibilities
Data Collection & Management
Design, implement & maintain ETL process
Ensure data quality, integrity & consistencyOptimize data warehouse schemas, query performance to ensure efficient data access & analytical processAdvanced Feature Engineering
Collaborate with users to understand domain knowledge / mechanics
Translate the knowledge into quantifiable, predictive featuresDevelop complex SQL queries to create high impact features for machine learning models, including lagged features & rolling aggregatesIdentify & prevent data leakageExploratory Data Analysis (EDA)
Conduct in-depth statistical analysis & exploratory data visualization to identify hidden patterns, trends, correlations & anomalies within data.
Analyse the distribution of target variable to inform the selection & refinement of statistical modellingModel Evaluation & Interpretation Support
Assist in the rigorous evaluation of model performance using relevant metrics. For e.g. RMSE, MAE, etc.
Perform detailed residual analysis to understand prediction errors and identify systemic biases or areas for model improvementCollaborate with team to interpret model outputs & translate complex analytical finding into clear, actionable recommendations for refinementReporting & Automation
Develop & maintain automated reports & dashboards to monitor key performance indicators, track model accuracy & visualize critical data trends
Continuous Improvement & Research
Proactively identify opportunities for new data sources, analytical methods and model enhancement
Qualifications
Bachelor's degree in data science, Statistics, Computer Science, Mathematics or a related quantitative field.2+ years as a Data Scientist / Analyst with strong hands-on experience in data extraction, cleaning, transformation and feature engineeringStrong understanding of statistical concepts and their application in data analysisProficiency in programming languages like SQL, R, and PythonProficiency in data visualisation software e.g. Tableau, Power BI, Looker StudioGood written and spoken English languageA deep passion for and strong understanding in MOBA mechanicsSelf-motivated, detail-oriented and able to work effectively both independently and as part of a collaborative teamExperience in BigQuery, Dataflow and BigQueryML is a bonusFamiliarity with MOBA games - Dota 2 is requiredInterested candidates, kindly submit detailed resumes via clicking "Apply Now" button. All profiles will be handled with strictest confidentiality. Only shortlisted candidates will be notified.
Thank you.