Job closed.
Job Description
- Contribute to the deployment of ensemble machine learning methods, deep learning, and advanced optimization techniques to drill into our toughest challenges
- Perform tasks such as data exploration, cleaning, and feature engineering
- Design, plan, develop and deploy machine learning models and advanced analytics solutions to solve a wide array of business problems.
- Developing scalable data products (predictive model, prescriptive dashboard, etc.) that drives businesses/products growth
- Work with Data Scientists, Product Engineers and Product Managers to build, deploy, and scale Data Science solutions for routing optimization and supply forecasting to improve our delivery efficiency
- Leverage NLP and data science to enable personalised experience
Minimum Qualifications
- Bachelor / Master Degree;
- 4+ years of experience in Data Science / Analytics, Data Scientist
- Proficient in Statistics, Data Structuring, Analysis
- Exposure to lead end-to-end deployment of advanced analytics pipeline, collaborating with data engineering or backend engineer team.
- Excellent programming skills in Python/R.
- Excellent data query or manipulation skill using SQL.
- Experienced in using various tools for data science/analytics such as scikit-learn, pandas, numpy.
- Experienced in using data visualization tools such as Tableau, PowerBI.
- Experienced in using various database platform such as MySQL, PostgreSQL, Hive, Bigquery, etc.
- Advanced problem-solving skills
Jobs Summary
- Job Level
- Mid-Senior Level / Manager
- Job Category
- IT and Software
- Educational Requirement
- Bachelor's degree graduate
- Recruiter response to application
- Always
- Office Address
- Jalan Dr Ide Anak Agung Gde Agung, Kuningan Timur Kel., Setiabudi
About PGI Data
PGI Data is a boutique house providing Digital Transformation through end-to-end data solutions with its presence in Singapore & Indonesia. We believe in a holistic approach to support business decisions and build a top-quality and cost-effective strategy for businesses to operate successfully.